Weiyan Shi

1.2k total citations
24 papers, 256 citations indexed

About

Weiyan Shi is a scholar working on Artificial Intelligence, Social Psychology and Sociology and Political Science. According to data from OpenAlex, Weiyan Shi has authored 24 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 2 papers in Social Psychology and 2 papers in Sociology and Political Science. Recurrent topics in Weiyan Shi's work include Topic Modeling (11 papers), Speech and dialogue systems (7 papers) and AI in Service Interactions (6 papers). Weiyan Shi is often cited by papers focused on Topic Modeling (11 papers), Speech and dialogue systems (7 papers) and AI in Service Interactions (6 papers). Weiyan Shi collaborates with scholars based in United States, Singapore and China. Weiyan Shi's co-authors include Zhou Yu, Dongyeop Kang, Yu Zhou, Ruoxi Jia, Kun Qian, Jingwen Zhang, Diyi Yang, Ryan Shea, Chiyuan Zhang and Yu Li and has published in prestigious journals such as FEMS Microbiology Letters, Proceedings of the ACM on Human-Computer Interaction and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

In The Last Decade

Weiyan Shi

22 papers receiving 249 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Weiyan Shi United States 8 218 58 33 15 14 24 256
Dimitra Gkatzia United Kingdom 9 202 0.9× 28 0.5× 48 1.5× 12 0.8× 9 0.6× 33 248
Kawin Ethayarajh United States 8 202 0.9× 30 0.5× 26 0.8× 19 1.3× 8 0.6× 12 247
Naveen Arivazhagan United States 3 214 1.0× 28 0.5× 55 1.7× 13 0.9× 7 0.5× 4 249
John Aslanides United Kingdom 4 142 0.7× 18 0.3× 22 0.7× 9 0.6× 4 0.3× 5 182
Pradyumna Tambwekar United States 5 152 0.7× 13 0.2× 13 0.4× 9 0.6× 13 0.9× 10 190
Nikita Nangia United States 5 268 1.2× 23 0.4× 73 2.2× 5 0.3× 7 0.5× 10 293
Saffron Huang United Kingdom 2 103 0.5× 18 0.3× 15 0.5× 9 0.6× 5 0.4× 2 145
Jiaan Wang China 8 240 1.1× 33 0.6× 38 1.2× 6 0.4× 4 0.3× 28 279
Weinan Zhang China 11 360 1.7× 19 0.3× 80 2.4× 7 0.5× 9 0.6× 31 393
Kurt Shuster Israel 7 324 1.5× 32 0.6× 68 2.1× 11 0.7× 5 0.4× 14 351

Countries citing papers authored by Weiyan Shi

Since Specialization
Citations

This map shows the geographic impact of Weiyan Shi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Weiyan Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiyan Shi more than expected).

Fields of papers citing papers by Weiyan Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Weiyan Shi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Weiyan Shi. The network helps show where Weiyan Shi may publish in the future.

Co-authorship network of co-authors of Weiyan Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Weiyan Shi. A scholar is included among the top collaborators of Weiyan Shi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Weiyan Shi. Weiyan Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gallegos, Isabel O., et al.. (2026). Labeling messages as AI-generated does not reduce their persuasive effects. PNAS Nexus. 5(2). pgag008–pgag008. 2 indexed citations
2.
Wang, Wei, Benzhuo Lu, Yihan Li, & Weiyan Shi. (2025). Descriptor: Coastal Aerial Imagery Dataset for Shoreline Segmentation (CAID). 2. 286–295. 1 indexed citations
3.
Liu, Xingyu, et al.. (2025). Proactive Conversational Agents with Inner Thoughts. 1–19. 3 indexed citations
4.
5.
Shi, Weiyan, et al.. (2024). Dialoging Resonance in Human-Chatbot Conversation: How Users Perceive and Reciprocate Recommendation Chatbot's Self-Disclosure Strategy. Proceedings of the ACM on Human-Computer Interaction. 8(CSCW1). 1–28. 7 indexed citations
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Zhang, Zhenhong, et al.. (2024). Contrastive Learning for Knowledge-Based Question Generation in Large Language Models. 583–587. 8 indexed citations
9.
Li, Tianshi, et al.. (2024). PrivacyLens: Evaluating Privacy Norm Awareness of Language Models in Action. 89373–89407. 1 indexed citations
10.
11.
Shi, Weiyan, et al.. (2023). Controllable Mixed-Initiative Dialogue Generation through Prompting. 951–966. 7 indexed citations
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13.
Qiu, Liang, Yizhou Zhao, Liang Yuan, et al.. (2022). Towards Socially Intelligent Agents with Mental State Transition and Human Value. 146–158. 4 indexed citations
14.
Shi, Weiyan, et al.. (2022). Just Fine-tune Twice: Selective Differential Privacy for Large Language Models. 6327–6340. 20 indexed citations
15.
Arnold, Josh A., et al.. (2021). LEGOEval: An Open-Source Toolkit for Dialogue System Evaluation via Crowdsourcing. 317–324. 6 indexed citations
16.
Kang, Dongyeop, et al.. (2020). INSPIRED: Toward Sociable Recommendation Dialog Systems. 8142–8152. 60 indexed citations
17.
Shi, Weiyan, et al.. (2020). Understanding User Resistance Strategies in Persuasive Conversations. 4794–4798. 1 indexed citations
18.
Shi, Weiyan & Zhou Yu. (2018). Sentiment Adaptive End-to-End Dialog Systems. 1509–1519. 41 indexed citations
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20.
Shi, Weiyan. (2000). Phenotypic analyses of frz and dif double mutants of Myxococcus xanthus. FEMS Microbiology Letters. 192(2). 211–215. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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Breakdown of academic impact, for papers by Dimitra Gkatzia Breakdown of academic impact, for papers by Kawin Ethayarajh Breakdown of academic impact, for papers by Naveen Arivazhagan Breakdown of academic impact, for papers by John Aslanides Breakdown of academic impact, for papers by Pradyumna Tambwekar Breakdown of academic impact, for papers by Nikita Nangia Breakdown of academic impact, for papers by Saffron Huang Breakdown of academic impact, for papers by Jiaan Wang Breakdown of academic impact, for papers by Weinan Zhang Breakdown of academic impact, for papers by Kurt Shuster
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