---
title: "Who cites Amine Trabelsi — 58 papers of our library"
description: "58 papers of the Elamur Research library cite the works of Amine Trabelsi, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/amine-trabelsi/cited-by/"
---
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# Who cites Amine Trabelsi

59 citations of their works from 58 papers of our library (of the 149,439 whose bibliographies we read) · 7 with a page here, the most cited first · [← Amine Trabelsi](https://md.research.elamur.ai/free/en/authors/amine-trabelsi/)

1. **[DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation](https://md.research.elamur.ai/free/en/papers/ghosal-2019-dialoguegcn-graph-convolutional-neural-network/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Deepanway Ghosal, Navonil Majumder, Soujanya Poria, et al.*2019 · 853 citations*
2. **[Towards Emotion-aided Multi-modal Dialogue Act Classification](https://md.research.elamur.ai/free/en/papers/saha-2020-emotion-aided-multi-modal-dialogue/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tulika Saha, Aditya Patra, Sriparna Saha, et al.*2020 · 79 citations*
3. **[Evaluation of Pretrained and Instruction-Based Pretrained Models for Emotion Detection in Arabic Social Media Text](https://md.research.elamur.ai/free/en/papers/biswas-2025-evaluation-pretrained-instruction-based-pretrained/) [Recent Advances in Natural Language Processing (RANLP)](https://md.research.elamur.ai/free/en/venues/ranlp/)**Md. Rafiul Biswas, Shimaa Ibrahim, Mabrouka Bessghaier, et al.*2025 · 2 citations*
4. **[A Longitudinal, Multinational, and Multilingual Corpus of News Coverage of the Russo-Ukrainian War](https://md.research.elamur.ai/free/en/papers/mohanty-2026-longitudinal-multinational-multilingual-corpus-news/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Dikshya Mohanty, Taisiia Sabadyn, Jelwin Rodrigues, et al.*2026*
5. **[Large Language Models Unpack Complex Political Opinions through Target-Stance Extraction](https://md.research.elamur.ai/free/en/papers/togay-2026-large-language-models-unpack-complex/) [Workshop on Natural Language Processing for Political Sciences](https://md.research.elamur.ai/free/en/venues/politicalnlp/)**Ozgur Togay, Javier Garcia-Bernardo, Florian Kunneman, et al.*2026*
6. **[Modeling Multi-Dimensional Cognitive States in Large Language Models under Cognitive Crowding](https://md.research.elamur.ai/free/en/papers/zhong-2026-modeling-multi-dimensional-cognitive-states/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Lin Zhong, Siyu Zhu, Zizhen Yuan, et al.*2026*
7. **[Multilingual Target-Stance Extraction](https://md.research.elamur.ai/free/en/papers/mines-2026-multilingual-target-stance-extraction/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Ethan Leigh Mines, Bonnie J. Dorr*2026*

51 more citing papers of our library have no page here yet.

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