Bingsheng Yao

1.0k total citations · 1 hit paper
29 papers, 384 citations indexed

About

Bingsheng Yao is a scholar working on Artificial Intelligence, Education and Social Psychology. According to data from OpenAlex, Bingsheng Yao has authored 29 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 4 papers in Education and 3 papers in Social Psychology. Recurrent topics in Bingsheng Yao's work include Topic Modeling (10 papers), Natural Language Processing Techniques (7 papers) and Machine Learning in Healthcare (5 papers). Bingsheng Yao is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (7 papers) and Machine Learning in Healthcare (5 papers). Bingsheng Yao collaborates with scholars based in United States, Mexico and Hong Kong. Bingsheng Yao's co-authors include Dakuo Wang, Xuhai Xu, Ying Xu, Tongshuang Wu, Zheng Zhang, Daniel Ritchie, Toby Jia-Jun Li, James Hendler, Mo Yu and Hong Yu and has published in prestigious journals such as International Journal of Human-Computer Studies, Transactions of the Association for Computational Linguistics and Proceedings of the ACM on Human-Computer Interaction.

In The Last Decade

Bingsheng Yao

25 papers receiving 373 citations

Hit Papers

Mental-LLM 2024 2026 2024 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Mental-LLM
    2024 78 citations Xuhai Xu, Bingsheng Yao et al. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bingsheng Yao United States 9 180 66 59 41 38 29 384
Valdemar Danry United States 8 106 0.6× 51 0.8× 70 1.2× 41 1.0× 45 1.2× 19 364
Zhenhui Peng Hong Kong 12 169 0.9× 106 1.6× 42 0.7× 56 1.4× 31 0.8× 38 375
Stephan Schlögl Austria 10 280 1.6× 140 2.1× 91 1.5× 34 0.8× 43 1.1× 38 470
Qiaosi Wang United States 9 103 0.6× 29 0.4× 74 1.3× 25 0.6× 17 0.4× 11 291
Olivia K. Richards United States 8 128 0.7× 67 1.0× 95 1.6× 42 1.0× 12 0.3× 18 274
Alex Sciuto United States 6 166 0.9× 97 1.5× 119 2.0× 38 0.9× 18 0.5× 7 323
Md. Iftekhar Tanveer United States 9 106 0.6× 101 1.5× 71 1.2× 22 0.5× 49 1.3× 11 329
Young‐Ho Kim South Korea 9 130 0.7× 53 0.8× 54 0.9× 15 0.4× 31 0.8× 23 308
Fabio Catania Italy 9 157 0.9× 54 0.8× 33 0.6× 15 0.4× 9 0.2× 23 257
Jutta Treviranus Canada 11 62 0.3× 42 0.6× 104 1.8× 58 1.4× 36 0.9× 41 461

Countries citing papers authored by Bingsheng Yao

Since Specialization
Citations

This map shows the geographic impact of Bingsheng Yao'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 Bingsheng Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bingsheng Yao more than expected).

Fields of papers citing papers by Bingsheng Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bingsheng Yao. 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 Bingsheng Yao. The network helps show where Bingsheng Yao may publish in the future.

Co-authorship network of co-authors of Bingsheng Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Bingsheng Yao. A scholar is included among the top collaborators of Bingsheng Yao 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 Bingsheng Yao. Bingsheng Yao 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.
Park, Yoobin, Darwin A. Guevarra, Peggy Callahan, et al.. (2025). Promoting Prosociality via Micro-acts of Joy: A Large-Scale Well-Being Intervention Study. 1–28.
2.
Yao, Bingsheng, Xiaojuan Ma, Ying Xu, et al.. (2025). Characterizing LLM-Empowered Personalized Story Reading and Interaction for Children: Insights From Multi-Stakeholder Perspectives. ArXiv.org. 1–24. 1 indexed citations
3.
Yao, Bingsheng, Hansu Gu, Jing‐Zhi Huang, et al.. (2025). UXAgent: An LLM Agent-Based Usability Testing Framework for Web Design. 1–12. 2 indexed citations
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6.
Sun, Yuling, Bingsheng Yao, Dakuo Wang, et al.. (2024). Exploring Parent's Needs for Children-Centered AI to Support Preschoolers' Interactive Storytelling and Reading Activities. Proceedings of the ACM on Human-Computer Interaction. 8(CSCW2). 1–25. 4 indexed citations
7.
Xu, Xuhai, Bingsheng Yao, Yuanzhe Dong, et al.. (2024). Mental-LLM. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 8(1). 1–32. 78 indexed citations breakdown →
8.
Zhang, Shao, Bingsheng Yao, Yuanzhe Dong, et al.. (2024). StorySparkQA: Expert-Annotated QA Pairs with Real-World Knowledge for Children’s Story-Based Learning. 17351–17370. 2 indexed citations
9.
Xu, Xuhai, Bingsheng Yao, Shao Zhang, et al.. (2024). Talk2Care: An LLM-based Voice Assistant for Communication between Healthcare Providers and Older Adults. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 8(2). 1–35. 35 indexed citations
10.
Wang, Junxiang, et al.. (2024). User Interaction Patterns and Breakdowns in Conversing with LLM-Powered Voice Assistants. International Journal of Human-Computer Studies. 195. 103406–103406. 8 indexed citations
11.
Yin, Changchang, Ping‐Yu Chen, Bingsheng Yao, et al.. (2024). SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing. PubMed. 2024. 6158–6168. 2 indexed citations
12.
Steinberg, Justin, et al.. (2024). Understanding the Daily Lives of Older Adults: Integrating Multi-modal Personal Health Tracking Data through Visualization and Large Language Models. Proceedings of the AAAI Symposium Series. 4(1). 173–177. 1 indexed citations
13.
14.
Xu, Xuhai, Bingsheng Yao, Shao Zhang, et al.. (2024). Talk2Care: Facilitating Asynchronous Patient-Provider Communication with Large-Language-Model. Proceedings of the AAAI Symposium Series. 4(1). 146–151. 2 indexed citations
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16.
Yao, Bingsheng, Ishan Jindal, Lucian Popa, et al.. (2023). Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture. 11629–11643. 4 indexed citations
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18.
Yao, Bingsheng, Prithviraj Sen, Lucian Popa, James Hendler, & Dakuo Wang. (2023). Are Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations. 14698–14713. 1 indexed citations
19.
Xu, Ying, Dakuo Wang, Mo Yu, et al.. (2022). Fantastic Questions and Where to Find Them: FairytaleQA – An Authentic Dataset for Narrative Comprehension. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 447–460. 27 indexed citations
20.
Zhang, Zheng, Ying Xu, Yanhao Wang, et al.. (2022). StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement. CHI Conference on Human Factors in Computing Systems. 1–21. 82 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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