---
title: "ACM Computing Surveys 2023 — papers — Elamur Research"
description: "ACM Computing Surveys 2023 — papers: 2 papers in the Elamur Research library, with our summaries, ranked by citations."
canonical: "https://research.elamur.ai/free/en/venues/acm-computing-surveys/2023/"
---
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# ACM Computing Surveys 2023 — papers

The works of ACM Computing Surveys published in 2023 that our library holds (publisher: Association for Computing Machinery): 2 works, listed below with the most cited first; each has a page with our summary, its key points and its references.

[**242** works that year](#all) · [**2** works in our library](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/2023/#works) · [**895** citations of these works](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/2023/#works)

## Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. **[Diffusion Models: A Comprehensive Survey of Methods and Applications ↗](https://doi.org/10.1145/3626235)**Ling Qiang Yang, Zhilong Zhang, Yang Song et al.*1,666 citations*
2. **[Recent Advances in Natural Language Processing via Large Pre-trained Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/min-2021-recent-advances-natural-language-processing/)**Bonan Min, Hayley Ross, Elior Sulem et al.*1,370 citations · our summary*
3. **[Deep Learning-based Human Pose Estimation: A Survey ↗](https://doi.org/10.1145/3603618)**Ce Zheng, Wenhan Wu, Chen Chen et al.*750 citations*
4. **[A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities ↗](https://doi.org/10.1145/3582688)**Yisheng Song, Ting Wang, Puyu Cai et al.*712 citations*
5. **[Fairness in Machine Learning: A Survey ↗](https://doi.org/10.1145/3616865)**Simon J. Caton, Christian Stefan Haas*624 citations*
6. **[Heterogeneous Federated Learning: State-of-the-art and Research Challenges ↗](https://doi.org/10.1145/3625558)**Mang Ye, Xiuwen Fang, Bo Du et al.*608 citations*
7. **[Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better ↗](https://doi.org/10.1145/3578938)**Gaurav Menghani*605 citations*
8. **[From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI ↗](https://doi.org/10.1145/3583558)**Meike Nauta, Jan Trienes, Shreyasi Pathak et al.*567 citations*
9. **[Recent Advances in Bayesian Optimization ↗](https://doi.org/10.1145/3582078)**Xilu Wang, Yaochu Jin, Sebastian Schmitt et al.*477 citations*
10. **[A Comprehensive Survey on Automatic Knowledge Graph Construction ↗](https://doi.org/10.1145/3618295)**Lingfeng Zhong, Jia Xin Wu, Qian Li et al.*382 citations*

## All works of the year (242)

The most cited first; 2 with our summary link to their page here, the others to the original.

1. **[Diffusion Models: A Comprehensive Survey of Methods and Applications ↗](https://doi.org/10.1145/3626235)**Ling Qiang Yang, Zhilong Zhang, Yang Song et al.*1,666 citations*
2. **[Recent Advances in Natural Language Processing via Large Pre-trained Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/min-2021-recent-advances-natural-language-processing/)**Bonan Min, Hayley Ross, Elior Sulem et al.*1,370 citations · our summary*
3. **[Deep Learning-based Human Pose Estimation: A Survey ↗](https://doi.org/10.1145/3603618)**Ce Zheng, Wenhan Wu, Chen Chen et al.*750 citations*
4. **[A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities ↗](https://doi.org/10.1145/3582688)**Yisheng Song, Ting Wang, Puyu Cai et al.*712 citations*
5. **[Fairness in Machine Learning: A Survey ↗](https://doi.org/10.1145/3616865)**Simon J. Caton, Christian Stefan Haas*624 citations*
6. **[Heterogeneous Federated Learning: State-of-the-art and Research Challenges ↗](https://doi.org/10.1145/3625558)**Mang Ye, Xiuwen Fang, Bo Du et al.*608 citations*
7. **[Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better ↗](https://doi.org/10.1145/3578938)**Gaurav Menghani*605 citations*
8. **[From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI ↗](https://doi.org/10.1145/3583558)**Meike Nauta, Jan Trienes, Shreyasi Pathak et al.*567 citations*
9. **[Recent Advances in Bayesian Optimization ↗](https://doi.org/10.1145/3582078)**Xilu Wang, Yaochu Jin, Sebastian Schmitt et al.*477 citations*
10. **[A Comprehensive Survey on Automatic Knowledge Graph Construction ↗](https://doi.org/10.1145/3618295)**Lingfeng Zhong, Jia Xin Wu, Qian Li et al.*382 citations*
11. **[Multimodal Sentiment Analysis: A Survey of Methods, Trends, and Challenges ↗](https://doi.org/10.1145/3586075)**Ringki Das, Thoudam Doren Singh*363 citations*
12. **[A Survey of Controllable Text Generation Using Transformer-based Pre-trained Language Models ↗](https://doi.org/10.1145/3617680)**Hanqing Zhang, Haolin Song, Shaoyu Li et al.*313 citations*
13. **[A Survey on Measuring Cognitive Workload in Human-Computer Interaction ↗](https://doi.org/10.1145/3582272)**Thomas Kosch, Jakob Karolus, Johannes Zagermann et al.*294 citations*
14. **[A Survey of Privacy Attacks in Machine Learning ↗](https://doi.org/10.1145/3624010)**María Rigaki, Sebastián García*270 citations*
15. **[A Survey of Blockchain Consensus Protocols ↗](https://doi.org/10.1145/3579845)**Jie Xu, Cong Wang, Xiaohua Jia*263 citations*
16. **[A Review of the F-Measure: Its History, Properties, Criticism, and Alternatives ↗](https://doi.org/10.1145/3606367)**Peter Christen, David J. Hand, Nishadi Kirielle*232 citations*
17. **[Explainable Reinforcement Learning: A Survey and Comparative Review ↗](https://doi.org/10.1145/3616864)**Stephanie Milani, Nicholay Topin, Manuela Veloso et al.*224 citations*
18. **[A Survey on Hypergraph Representation Learning ↗](https://doi.org/10.1145/3605776)**Alessia Antelmi, Gennaro Cordasco, Mirko Polato et al.*220 citations*
19. **[Edge Computing and Sensor-Cloud: Overview, Solutions, and Directions ↗](https://doi.org/10.1145/3582270)**Tian Wang, Yuzhu Liang, Xuewei Shen et al.*202 citations*
20. **[Deep Learning Approaches on Image Captioning: A Review ↗](https://doi.org/10.1145/3617592)**Taraneh Ghandi, Hamid Reza Pourreza, Hamidreza Mahyar*194 citations*
21. **[Named Entity Recognition and Classification in Historical Documents: A Survey ↗](https://doi.org/10.1145/3604931)**Maud Ehrmann, Ahmed Hamdi, Elvys Linhares Pontes et al.*181 citations*
22. **[Artificial Intelligence for Safety-Critical Systems in Industrial and Transportation Domains: A Survey ↗](https://doi.org/10.1145/3626314)**Jon Perez-Cerrolaza, Jaume Abella, Markus Borg et al.*179 citations*
23. **[Physical Unclonable Functions (PUF) for IoT Devices ↗](https://doi.org/10.1145/3591464)**Abdulaziz Al-Meer, Saif M. Al-Kuwari*176 citations*
24. **[Pre-trained Language Models in Biomedical Domain: A Systematic Survey ↗](https://doi.org/10.1145/3611651)**Benyou Wang, Qianqian Xie, Jiahuan Pei et al.*169 citations*
25. **[Wireless Powered Mobile Edge Computing Networks: A Survey ↗](https://doi.org/10.1145/3579992)**Xiaojie Wang, Jiameng Li, Zhaolong Ning et al.*166 citations*

[See all 242 papers in ACM Computing Surveys 2023 — papers →](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/2023/papers/)

## Works with our summary in our library (2)

The most cited first (OpenAlex citations plus our library's).

1. **[Instruction Tuning for Large Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/zhang-2023-instruction-tuning-large-language-models/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Shengyu Zhang, Linfeng Dong, Xiaoya Li, et al.*2023 · 517 citations*
2. **[Tool Learning with Foundation Models](https://md.research.elamur.ai/free/en/papers/qin-2023-tool-learning-foundation-models/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Yujia Qin, Shengding Hu, Yankai Lin, et al.*2023 · 378 citations*

## Top topics

Topics of its works in our library, with the number of works on each.

[Language models & pretraining (2)](https://md.research.elamur.ai/free/en/topics/language-models/)

## Fields

[Computer Science (2)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities (1)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Engineering (1)](https://md.research.elamur.ai/free/en/shelves/engineering/)

## Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

[🧑‍🔬**Fei Wu**1 work here · 517 citations](https://md.research.elamur.ai/free/en/authors/fei-wu/) · [🧑‍🔬**Guoyin Wang**1 work here · 517 citations](https://md.research.elamur.ai/free/en/authors/guoyin-wang/) · [🧑‍🔬**Jiwei Li**1 work here · 517 citations](https://md.research.elamur.ai/free/en/authors/jiwei-li/) · [🧑‍🔬**Shuhe Wang**1 work here · 517 citations](https://md.research.elamur.ai/free/en/authors/shuhe-wang/) · [🧑‍🔬**Tianwei Zhang**1 work here · 517 citations](https://md.research.elamur.ai/free/en/authors/tianwei-zhang/) · [🧑‍🔬**Xiaofei Sun**1 work here · 517 citations](https://md.research.elamur.ai/free/en/authors/xiaofei-sun/) · [🧑‍🔬**Xiaoya Li**1 work here · 517 citations](https://md.research.elamur.ai/free/en/authors/xiaoya-li/) · [🧑‍🔬**Chaojun Xiao**1 work here · 378 citations](https://md.research.elamur.ai/free/en/authors/chaojun-xiao/) · [🧑‍🔬**Chi Han**1 work here · 378 citations](https://md.research.elamur.ai/free/en/authors/chi-han/) · [🧑‍🔬**Ganqu Cui**1 work here · 378 citations](https://md.research.elamur.ai/free/en/authors/ganqu-cui/) · [🧑‍🔬**Ning Ding**1 work here · 378 citations](https://md.research.elamur.ai/free/en/authors/ning-ding/) · [🧑‍🔬**Shengding Hu**1 work here · 378 citations](https://md.research.elamur.ai/free/en/authors/shengding-hu/)

## Top institutions

Institutions on the bylines of its works here, by the number of works.

[🎓**Beijing University of Posts and Telecommunications** Beijing · China 1 work here](https://md.research.elamur.ai/free/en/universities/beijing-university-of-posts-and-telecommunications/) · [🎓**University of Illinois Urbana-Champaign** Urbana · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-illinois-urbana-champaign/) · [🎓**Nanyang Technological University** Singapore · Singapore 1 work here](https://md.research.elamur.ai/free/en/universities/nanyang-technological-university/) · [🎓**University of Washington** Seattle · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-washington/) · [🎓**Peking University** Beijing · China 1 work here](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🏢**Alibaba Group** Hangzhou · China 1 work here](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🎓**New York University** New York · United States 1 work here](https://md.research.elamur.ai/free/en/universities/new-york-university/) · [🎓**Carnegie Mellon University** Pittsburgh · United States 1 work here](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🎓**Zhejiang University** Hangzhou · China 1 work here](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) · [🎓**Renmin University of China** Beijing · China 1 work here](https://md.research.elamur.ai/free/en/universities/renmin-university-of-china/) · [🎓**Tsinghua University** Beijing · China 1 work here](https://md.research.elamur.ai/free/en/universities/tsinghua-university/)

works and citations from OpenAlex and our library.

- [← previous ACM Computing Surveys 2022](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/2022/)
- [next → ACM Computing Surveys 2024](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/2024/)
- [↑ back to ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)