---
title: "Who cites Aidan N. Gomez — page 22 — 17,698 citing papers"
description: "17,698 papers of the Elamur Research library cite the works of Aidan N. Among them: TrustTable: A Neuro-Symbolic Auditing Framework for…"
canonical: "https://research.elamur.ai/free/en/authors/aidan-n-gomez/cited-by/page/22/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/aidan-n-gomez/cited-by/page/22/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Aidan N. Gomez](https://md.research.elamur.ai/free/en/authors/aidan-n-gomez/) / [cited by](https://md.research.elamur.ai/free/en/authors/aidan-n-gomez/cited-by/) / page 22

# Who cites Aidan N. Gomez

17,908 citations of their works from 17,698 papers of our library (of the 149,439 whose bibliographies we read) · 2,161 with a page here, the most cited first · page 22 of 22 · 2101–2161 · [← Aidan N. Gomez](https://md.research.elamur.ai/free/en/authors/aidan-n-gomez/)

[← prev](https://md.research.elamur.ai/free/en/authors/aidan-n-gomez/cited-by/page/21/) [1](https://md.research.elamur.ai/free/en/authors/aidan-n-gomez/cited-by/) … [20](https://md.research.elamur.ai/free/en/authors/aidan-n-gomez/cited-by/page/20/) [21](https://md.research.elamur.ai/free/en/authors/aidan-n-gomez/cited-by/page/21/) **22**

2101. **[TrustTable: A Neuro-Symbolic Auditing Framework for Faithful Table QA](https://md.research.elamur.ai/free/en/papers/zhao-2026-trusttable-neuro-symbolic-auditing-framework/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guangzhen Zhao, Dechang Kong, Tongyu Wu, et al.*2026*
2102. **[Trustworthy and Explainable Causal Representation Learning in Transformers](https://md.research.elamur.ai/free/en/papers/liu-2026-trustworthy-explainable-causal-representation-learning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yang Liu, Yinghao Zhang, Lin Liu, et al.*2026*
2103. [**Trustworthy NLP for Low-Resource Languages: Agent-Based Uncertainty Modeling for Hebrew Radiology Report Structuring**Hadas Ben Atya, Naama Gavrielov, Zvi Badash, et al.*2026*](https://md.research.elamur.ai/free/en/papers/atya-2026-trustworthy-nlp-low-resource-languages/)
2104. **[Ultra-Low-Dimensional Prompt Tuning via Random Projection](https://md.research.elamur.ai/free/en/papers/wu-2026-ultra-low-dimensional-prompt-tuning/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Zijun Wu, Yongchang Hao, Lili Mou*2026*
2105. **[Understanding In-Context Learning Beyond Transformers: An Investigation of State Space and Hybrid Architectures](https://md.research.elamur.ai/free/en/papers/wang-2026-understanding-context-learning-beyond-transformers/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shenran Wang, Timothy Tin-Long Tse, Jian Zhu*2026*
2106. **[Understanding the Prompt Sensitivity](https://md.research.elamur.ai/free/en/papers/liu-2026-understanding-prompt-sensitivity/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yang Liu, Chenhui Chu*2026*
2107. **[Unleashing the Native Recommendation Potential: LLM-Based Generative Recommendation via Structured Term Identifiers](https://md.research.elamur.ai/free/en/papers/zhang-2026-unleashing-native-recommendation-potential-llm/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhiyang Zhang, Junda She, Kuo Cai, et al.*2026*
2108. **[Unveiling Inherent Visual Grounding in Multimodal LLMs for Text-Rich Images](https://md.research.elamur.ai/free/en/papers/zhou-2026-unveiling-inherent-visual-grounding-multimodal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shijie Zhou, Jihyung Kil, Ming Li, et al.*2026*
2109. **[Using Topological Data Analysis to Characterize the Layers of Language Models Before and After Word Substitution Attacks](https://md.research.elamur.ai/free/en/papers/tang-2026-topological-data-analysis-characterize-layers/) [Workshop on Customizable NLP: Progress and Challenges in Customizing NLP for a Domain, Application, Group, or Individual](https://md.research.elamur.ai/free/en/venues/customnlp4u/)**Adam Tang, Catherine Liu, Kimberly Lopez, et al.*2026*
2110. **[Verbal-R3: Verbal Reranker as the Missing Bridge between Retrieval and Reasoning](https://md.research.elamur.ai/free/en/papers/park-2026-verbal-r3-verbal-reranker-as/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sangkwon Park, Donghun Kang, Jisoo Mok, et al.*2026*
2111. **[Weight Tying Biases Token Embeddings Towards the Output Space](https://md.research.elamur.ai/free/en/papers/lopardo-2026-weight-tying-biases-token-embeddings/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Antonio Lopardo, Avyukth Harish, Catherine Arnett, et al.*2026*
2112. **[What Do Prosody and Text Convey? Characterizing How Meaningful Information is Distributed Across Multiple Channels](https://md.research.elamur.ai/free/en/papers/yadavalli-2026-what-do-prosody-text-convey/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Aditya Yadavalli, Tiago Pimentel, Tamar I Regev, et al.*2026*
2113. **[What does Surprisal have to do with Information Status?](https://md.research.elamur.ai/free/en/papers/dyer-2026-what-does-surprisal-have-do/) [Workshop on Research in Computational Linguistic Typology and Multilingual NLP](https://md.research.elamur.ai/free/en/venues/sigtyp/)**Andrew Thomas Dyer*2026*
2114. **[When depth is redundant: Efficient transformer-based speech anti-spoofing](https://md.research.elamur.ai/free/en/papers/tran-2026-when-depth-is-redundant-efficient/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hoan My Tran, Damien Lolive, Aghilas Sini, et al.*2026*
2115. **[Why do Large Language Models Fail in Low-resource Translation? Unraveling the Token Dynamics of Large Language Models for Machine Translation](https://md.research.elamur.ai/free/en/papers/qian-2026-why-do-large-language-models/) [Annual Conference of the European Association for Machine Translation (EAMT)](https://md.research.elamur.ai/free/en/venues/eamt/)**Shenbin Qian, Yves Scherrer*2026*
2116. **[Word Surprisal Correlates with Sentential Contradiction in LLMs](https://md.research.elamur.ai/free/en/papers/shi-2026-word-surprisal-correlates-sentential-contradiction/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Ning Shi, Bradley Hauer, David Basil, et al.*2026*
2117. **[A Multi-Task Learning Approach to Dialectal Arabic Identification and Translation to Modern Standard Arabic](https://md.research.elamur.ai/free/en/papers/khered-2025-multi-task-learning-approach-dialectal/) [Workshop on Advancing NLP for Low-Resource Languages](https://md.research.elamur.ai/free/en/venues/lowresnlp/)**Abdullah Khered, Youcef Benkhedda, Riza Batista-Navarro*2025*
2118. **[Aligning Language Models for Icelandic Legal Text Summarization](https://md.research.elamur.ai/free/en/papers/dharson-2025-aligning-language-models-icelandic-legal/) [Nordic Conference on Computational Linguistics (NoDaLiDa)](https://md.research.elamur.ai/free/en/venues/nodalida/)**Þórir Hrafn Harðarson, Hrafn Loftsson, Stefán Ólafsson*2025*
2119. [**ArbESC+: Arabic Enhanced Edit Selection System Combination for Grammatical Error Correction Resolving conflict and improving system combination in Arabic GEC arXiv:2511.14230**Ahlam Alrehili, Areej Alhothali*2025*](https://md.research.elamur.ai/free/en/papers/alrehili-2025-arbesc-arabic-enhanced-edit-selection/)
2120. [**Architectural Trade-offs in Small Language Models Under Compute Constraints arXiv:2512.20877**Shivraj Singh Bhatti*2025*](https://md.research.elamur.ai/free/en/papers/bhatti-2025-architectural-trade-offs-small-language/)
2121. **[Automated Authentication of Quranic Verses Using BERT (Bidirectional Encoder Representations from Transformers) based Language Models](https://md.research.elamur.ai/free/en/papers/alam-2025-automated-authentication-quranic-verses-bert/) [New Horizons in Computational Linguistics for Religious Texts](https://md.research.elamur.ai/free/en/venues/clrel/)**Khubaib Amjad Alam, Maryam Khalid, Syed Ahmed Ali, et al.*2025*
2122. [**Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning arXiv:2509.00094**Abdullah Abdelfattah, Mahmoud I. Khalil, Hazem Abbas*2025*](https://md.research.elamur.ai/free/en/papers/abdelfattah-2025-automatic-pronunciation-error-detection-correction/)
2123. [**Building English ASR model with regional language support arXiv:2503.07522**Purvi Agrawal, Vikas Joshi, Bharati Patidar, et al.*2025*](https://md.research.elamur.ai/free/en/papers/agrawal-2025-building-english-asr-model-regional/)
2124. [**Context-Aware Content Moderation for German Newspaper Comments arXiv:2505.20963**Felix Krejca, Tobias Kietreiber, Alexander Buchelt, et al.*2025*](https://md.research.elamur.ai/free/en/papers/krejca-2025-context-aware-content-moderation-german/)
2125. [**Embodied Intelligence Systems Based on Large Models: A Survey (基于大模型的具身智能系统综述) Acta Automatica Sinica (自动化学报)**Wensheng Wang (王文晟), Ning Tan (谭宁), Kai Huang (黄凯), et al.*2025*](https://md.research.elamur.ai/free/en/papers/wang-2025-embodied-intelligence-systems/)
2126. [**Enhancing Quranic Learning: A Multimodal Deep Learning Approach for Arabic Phoneme Recognition arXiv:2511.17477**Ayhan Kucukmanisa, Derya Gelmez, Sukru Selim Calik, et al.*2025*](https://md.research.elamur.ai/free/en/papers/kucukmanisa-2025-enhancing-quranic-learning-multimodal-deep/)
2127. [**Evaluating Standard and Dialectal Frisian ASR: Multilingual Fine-tuning and Language Identification for Improved Low-resource Performance arXiv:2502.04883**Reihaneh Amooie, Wietse de Vries, Yun Hao, et al.*2025*](https://md.research.elamur.ai/free/en/papers/amooie-2025-evaluating-standard-dialectal-frisian-asr/)
2128. **[Huaputong: Large Language Model for Genealogical Question-answering with Knowledge Reasoning (华谱通: 基于知识推理的家谱问答大语言模型)](https://md.research.elamur.ai/free/en/papers/wu-2025-huaputong-large-language/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Xindong Wu (吴信东), Xingrui Zhuo (卓兴锐), Yongpan Chang (常永泮), et al.*2025*
2129. **[Low-Resource Machine Translation for Moroccan Arabic](https://md.research.elamur.ai/free/en/papers/rosca-2025-low-resource-machine-translation-moroccan/) [Workshop on Advancing NLP for Low-Resource Languages](https://md.research.elamur.ai/free/en/venues/lowresnlp/)**Alexei Rosca, Abderrahmane Issam, Gerasimos Spanakis*2025*
2130. [**Poem Meter Classification of Recited Arabic Poetry: Integrating High-Resource Systems for a Low-Resource Task arXiv:2504.12172**Maged S. Al-Shaibani, Zaid Alyafeai, Irfan Ahmad*2025*](https://md.research.elamur.ai/free/en/papers/al-shaibani-2025-poem-meter-classification-recited-arabic/)
2131. **[QiMP at SemEval-2025 Task 11: Optimizing Text-based Emotion Classification in English Beyond Traditional Methods](https://md.research.elamur.ai/free/en/papers/bogatyreva-2025-qimp-semeval-2025-task-11/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Mariia Bogatyreva, Pascal Gaertner, Quim Ribas, et al.*2025*
2132. **[Survey on Code Generation with LLM-based Agents (基于大语言模型智能体的代码生成综述)](https://md.research.elamur.ai/free/en/papers/dong-2025-code-generation-llm/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Yihong Dong (董益宏), Xue Jiang (姜雪), Jiaru Qian (钱家如), et al.*2025*
2133. **[Survey on Key Technologies for Large Language Model Pre-training Systems (大语言模型预训练系统关键技术综述)](https://md.research.elamur.ai/free/en/papers/gao-2025-key-technologies-large/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Yanjie Gao (高彦杰), Yueguo Chen (陈跃国)*2025*
2134. **[Unknown Word Detection for English as a Second Language (ESL) Learners Using Gaze and Pre-trained Language Models](https://md.research.elamur.ai/free/en/papers/ding-2025-unknown-word-detection-english-second/) [CHI Conference on Human Factors in Computing Systems](https://md.research.elamur.ai/free/en/venues/chi-conference-on-human-factors-in-computing-systems/)**Jiexin Ding, Bowen Zhao, Yuntao Wang, et al.*2025*
2135. **[Building and evaluating a Japanese-English bilingual model by vocabulary-replacing continual pretraining (語彙置換継続事前学習による日英バイリンガルモデルの構築と評価)](https://md.research.elamur.ai/free/en/papers/asaba-2024-building-evaluating-japanese-english/) [Annual Meeting of the Association for Natural Language Processing](https://md.research.elamur.ai/free/en/venues/annual-meeting-of-the-association-for-natural-language-processing/)**麻場直喜, 野崎雄太, 中島大, et al.*2024*
2136. **[Can generative AI recognise textual entailment? (生成 AI は含意関係認識ができるのか)](https://md.research.elamur.ai/free/en/papers/arasawa-2024-can-generative-ai-recognise/) [Annual Meeting of the Association for Natural Language Processing](https://md.research.elamur.ai/free/en/venues/annual-meeting-of-the-association-for-natural-language-processing/)**荒沢康平, 狩野芳伸*2024*
2137. [**Enhancing Medical Support in the Arabic Language Through Personalized ChatGPT Assistance arXiv:2403.15501**Mohamed Issa, Ahmed Abdelwahed*2024*](https://md.research.elamur.ai/free/en/papers/issa-2024-enhancing-medical-support-arabic-language/)
2138. [**Generation and Evaluation of English Grammar Multiple-Choice Cloze Exercises**Nicolò Donati, Matteo Periani, Paolo Di Natale, et al.*2024*](https://md.research.elamur.ai/free/en/papers/donati-2024-generation-evaluation-english-grammar-multiple/)
2139. [**Large Language Models and Biblical Hebrew: Limitations, pitfalls, opportunities**Camil Staps*2024*](https://md.research.elamur.ai/free/en/papers/staps-2024-large-language-models-biblical-hebrew/)
2140. **[Survey on Document-level Neural Machine Translation (文档级神经机器翻译综述)](https://md.research.elamur.ai/free/en/papers/lv-2024-document-level-neural/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Xinglin Lv (吕星林), Junhui Li (李军辉), Shimin Tao (陶仕敏), et al.*2024*
2141. **[Survey on Hallucinations in Large Language Models (大语言模型的幻觉问题研究综述)](https://md.research.elamur.ai/free/en/papers/liu-2024-hallucinations-large-language/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Zeyuan Liu (刘泽垣), Pengjiang Wang (王鹏江), Xiaobin Song (宋晓斌), et al.*2024*
2142. **[That's Optional: A Contemporary Exploration of “that” Omission in English Subordinate Clauses](https://md.research.elamur.ai/free/en/papers/rabinovich-2024-that-s-optional-contemporary-exploration/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ella Rabinovich*2024*
2143. [**”You should probably read this”: Hedge Detection in Text arXiv:2405.13319**Denys Katerenchuk, Rivka Levitan*2024*](https://md.research.elamur.ai/free/en/papers/katerenchuk-2024-should-probably-read-this-hedge/)
2144. [**A Side-by-side Comparison of Transformers for English Implicit Discourse Relation Classification arXiv:2307.03378**Bruce W. Lee, BongSeok Yang, Jason Hyung-Jong Lee*2023*](https://md.research.elamur.ai/free/en/papers/lee-2023-side-side-comparison-transformers-english/)
2145. [**Content-Localization based Neural Machine Translation for Informal Dialectal Arabic: Spanish/French to Levantine/Gulf Arabic arXiv:2312.06926**Fatimah Alzamzami, Abdulmotaleb El Saddik*2023*](https://md.research.elamur.ai/free/en/papers/alzamzami-2023-content-localization-based-neural-machine/)
2146. **[Methods for Constraint Solving Problems Based on Learn to Reason Model: A Review (基于学习-推理的约束求解方法研究进展)](https://md.research.elamur.ai/free/en/papers/zou-2023-methods-constraint-solving/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Yue Zou (邹悦), Jiayang Lai (赖家洋), Yonggang Zhang (张永刚)*2023*
2147. **[On Enhancing Fine-Tuning for Pre-trained Language Models](https://md.research.elamur.ai/free/en/papers/betka-2023-enhancing-fine-tuning-pre-trained/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Abir Betka, Zeyd Ferhat, Riyadh Barka, et al.*2023*
2148. **[PD-AR at ArAIEval Shared Task: A BERT-Centric Approach to Tackle Arabic Disinformation](https://md.research.elamur.ai/free/en/papers/deka-2023-pd-ar-araieval-shared-task/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Pritam Deka, Ashwathy Revi*2023*
2149. [**Prototype of a robotic system to assist the learning process of English language with text-generation through DNN arXiv:2309.11142**Carlos Morales-Torres, Mario Campos-Soberanis, Diego Campos-Sobrino*2023*](https://md.research.elamur.ai/free/en/papers/morales-torres-2023-prototype-robotic-system-assist-learning/)
2150. [**Questions After ChatGPT: Opportunities and Challenges of Very Large Pre-trained Models (问答ChatGPT之后: 超大预训练模型的机遇和挑战) Acta Automatica Sinica (自动化学报)**Jingwei Lu (卢经纬), Chao Guo (郭超), Xingyuan Dai (戴星原), et al.*2023*](https://md.research.elamur.ai/free/en/papers/lu-2023-questions-after-chatgpt/)
2151. **[Role of Context in Unsupervised Sentence Representation Learning: the Case of Dialog Act Modeling](https://md.research.elamur.ai/free/en/papers/hronsky-2023-role-context-unsupervised-sentence-representation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Rastislav Hronsky, Emmanuel Keuleers*2023*
2152. [**A Universality-Individuality Integration Model for Dialog Act Classification arXiv:2204.06185**Gao Pengfei, Ma Yinglong*2022*](https://md.research.elamur.ai/free/en/papers/pengfei-2022-universality-individuality-integration-model-dialog/)
2153. **[Barch: an English Dataset of Bar Chart Summaries](https://md.research.elamur.ai/free/en/papers/skrjanec-2022-barch-english-dataset-bar-chart/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Iza Škrjanec, Muhammad Salman Edhi, Vera Demberg*2022*
2154. **[Baseline English and Maltese-English Classification Models for Subjectivity Detection, Sentiment Analysis, Emotion Analysis, Sarcasm Detection, and Irony Detection](https://md.research.elamur.ai/free/en/papers/cortis-2022-baseline-english-maltese-english-classification/) [SIGUL Joint Workshop with ELE, EURALI, and DCLRL: Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered Languages](https://md.research.elamur.ai/free/en/venues/sigul/)**Keith Cortis, Brian Davis*2022*
2155. **[CHILLAX - at Arabic Hate Speech 2022: A Hybrid Machine Learning and Transformers based Model to Detect Arabic Offensive and Hate Speech](https://md.research.elamur.ai/free/en/papers/makram-2022-chillax-arabic-hate-speech-2022/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Kirollos Makram, Kirollos George Nessim, Malak Emad Abd-Almalak, et al.*2022*
2156. **[Review and Performance Comparison of Deep Knowledge Tracing Models (深度知识追踪模型综述和性能比较)](https://md.research.elamur.ai/free/en/papers/wang-2022-performance-comparison-deep/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Yu Wang (王宇), Mengxia Zhu (朱梦霞), Shanghui Yang (杨尚辉), et al.*2022*
2157. [**Style transfer and classification in hebrew news items**Nir Weingarten*2022*](https://md.research.elamur.ai/free/en/papers/weingarten-2022-style-transfer-classification-hebrew-news/)
2158. **[Survey on Vision-language Pre-training (视觉语言预训练综述)](https://md.research.elamur.ai/free/en/papers/yin-2022-vision-language-pre/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Jiong Yin (殷炯), Zhedong Zhang (张哲东), Yuhan Gao (高宇涵), et al.*2022*
2159. [**Character Alignment in Morphologically Complex Translation Sets for Related Languages**Michael Gasser, Binyam Ephrem Seyoum, Nazareth Amlesom Kifle*2020*](https://md.research.elamur.ai/free/en/papers/gasser-2020-character-alignment-morphologically-complex-translation/)
2160. **[German-Arabic Speech-to-Speech Translation for Psychiatric Diagnosis](https://md.research.elamur.ai/free/en/papers/hussain-2020-german-arabic-speech-speech-translation/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Juan Hussain, Mohammed Mediani, Moritz Behr, et al.*2020*
2161. [**Fine-grained Information Status Classification Using Discourse Context-Aware Self-Attention arXiv:1908.04755**Yufang Hou*2019*](https://md.research.elamur.ai/free/en/papers/hou-2019-fine-grained-information-status-classification/)

[← prev](https://md.research.elamur.ai/free/en/authors/aidan-n-gomez/cited-by/page/21/) [1](https://md.research.elamur.ai/free/en/authors/aidan-n-gomez/cited-by/) … [20](https://md.research.elamur.ai/free/en/authors/aidan-n-gomez/cited-by/page/20/) [21](https://md.research.elamur.ai/free/en/authors/aidan-n-gomez/cited-by/page/21/) **22**

15,537 more citing papers of our library have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/authors/aidan-n-gomez/) — Aidan N. Gomez