OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021)
Open Access | Times Cited: 1264

Showing 1-25 of 1264 citing articles:

ChatGPT for good? On opportunities and challenges of large language models for education
Enkelejda Kasneci, Kathrin Seßler, Stefan Küchemann, et al.
Learning and Individual Differences (2023) Vol. 103, pp. 102274-102274
Open Access | Times Cited: 2279

Word sense disambiguation
Roberto Navigli
ACM Computing Surveys (2009) Vol. 41, Iss. 2, pp. 1-69
Closed Access | Times Cited: 1841

Survey of Hallucination in Natural Language Generation
Ziwei Ji, Nayeon Lee, Rita Frieske, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 12, pp. 1-38
Open Access | Times Cited: 1383

A Primer in BERTology: What We Know About How BERT Works
Anna Rogers, Olga Kovaleva, Anna Rumshisky
Transactions of the Association for Computational Linguistics (2020) Vol. 8, pp. 842-866
Open Access | Times Cited: 1222

BioGPT: generative pre-trained transformer for biomedical text generation and mining
Renqian Luo, Liai Sun, Yingce Xia, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 6
Open Access | Times Cited: 519

Extracting Places and Activities from GPS Traces Using Hierarchical Conditional Random Fields
Lin Liao, Dieter Fox, Henry Kautz
The International Journal of Robotics Research (2007) Vol. 26, Iss. 1, pp. 119-134
Closed Access | Times Cited: 411

Data and its (dis)contents: A survey of dataset development and use in machine learning research
Amandalynne Paullada, Inioluwa Deborah Raji, Emily M. Bender, et al.
Patterns (2021) Vol. 2, Iss. 11, pp. 100336-100336
Open Access | Times Cited: 379

Improving automatic source code summarization via deep reinforcement learning
Yao Wan, Zhou Zhao, Min Yang, et al.
(2018), pp. 397-407
Open Access | Times Cited: 363

Performance of ChatGPT on a Radiology Board-style Examination: Insights into Current Strengths and Limitations
Rajesh Bhayana, Satheesh Krishna, Robert R. Bleakney
Radiology (2023) Vol. 307, Iss. 5
Closed Access | Times Cited: 316

Lexicon-based sentiment analysis: Comparative evaluation of six sentiment lexicons
Christopher S. G. Khoo, Sathik Basha Johnkhan
Journal of Information Science (2017) Vol. 44, Iss. 4, pp. 491-511
Open Access | Times Cited: 224

A survey on large language model (LLM) security and privacy: The Good, The Bad, and The Ugly
Yifan Yao, Jinhao Duan, Kaidi Xu, et al.
High-Confidence Computing (2024) Vol. 4, Iss. 2, pp. 100211-100211
Open Access | Times Cited: 222

Stance detection on social media: State of the art and trends
Abeer Aldayel, Walid Magdy
Information Processing & Management (2021) Vol. 58, Iss. 4, pp. 102597-102597
Open Access | Times Cited: 198

Representing higher-order dependencies in networks
Jian Xu, Thanuka L. Wickramarathne, Nitesh V. Chawla
Science Advances (2016) Vol. 2, Iss. 5
Open Access | Times Cited: 185

Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence
Andreas Holzinger, Matthias Dehmer, Frank Emmert‐Streib, et al.
Information Fusion (2021) Vol. 79, pp. 263-278
Open Access | Times Cited: 168

Opportunities and challenges for ChatGPT and large language models in biomedicine and health
Shubo Tian, Qiao Jin, Lana Yeganova, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 163

Neural Abstractive Text Summarization with Sequence-to-Sequence Models
Tian Shi, Yaser Keneshloo, Naren Ramakrishnan, et al.
ACM/IMS Transactions on Data Science (2021) Vol. 2, Iss. 1, pp. 1-37
Open Access | Times Cited: 156

Neural Machine Translation for Low-resource Languages: A Survey
Surangika Ranathunga, En-Shiun Annie Lee, Marjana Prifti Skënduli, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 11, pp. 1-37
Open Access | Times Cited: 155

A survey on deep learning for textual emotion analysis in social networks
Sancheng Peng, Lihong Cao, Yongmei Zhou, et al.
Digital Communications and Networks (2021) Vol. 8, Iss. 5, pp. 745-762
Open Access | Times Cited: 129

Neural Natural Language Processing for unstructured data in electronic health records: A review
Irene Li, Jessica Pan, Jeremy Goldwasser, et al.
Computer Science Review (2022) Vol. 46, pp. 100511-100511
Open Access | Times Cited: 125

Dissociating language and thought in large language models
Kyle Mahowald, Anna A. Ivanova, Idan Blank, et al.
Trends in Cognitive Sciences (2024) Vol. 28, Iss. 6, pp. 517-540
Open Access | Times Cited: 116

A Survey on Aspect-Based Sentiment Classification
Gianni Brauwers, Flavius Frăsincar
ACM Computing Surveys (2021) Vol. 55, Iss. 4, pp. 1-37
Open Access | Times Cited: 108

Information Retrieval

ACM eBooks (2024)
Closed Access | Times Cited: 74

Distinguishing academic science writing from humans or ChatGPT with over 99% accuracy using off-the-shelf machine learning tools
Heather Desaire, Aleesa E. Chua, Madeline Isom, et al.
Cell Reports Physical Science (2023) Vol. 4, Iss. 6, pp. 101426-101426
Open Access | Times Cited: 72

Using natural language processing to support peer‐feedback in the age of artificial intelligence: A cross‐disciplinary framework and a research agenda
Elisabeth Bauer, Martin Greisel, Ilia Kuznetsov, et al.
British Journal of Educational Technology (2023) Vol. 54, Iss. 5, pp. 1222-1245
Open Access | Times Cited: 67

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