Shuai Ma

1.8k total citations
72 papers, 1.0k citations indexed

About

Shuai Ma is a scholar working on Artificial Intelligence, Social Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shuai Ma has authored 72 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 15 papers in Social Psychology and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shuai Ma's work include Human-Automation Interaction and Safety (5 papers), Virtual Reality Applications and Impacts (5 papers) and AI in Service Interactions (5 papers). Shuai Ma is often cited by papers focused on Human-Automation Interaction and Safety (5 papers), Virtual Reality Applications and Impacts (5 papers) and AI in Service Interactions (5 papers). Shuai Ma collaborates with scholars based in Hong Kong, China and United States. Shuai Ma's co-authors include Zhenhui Peng, Gary K. W. Wong, Pierre Dillenbourg, Xiaojuan Ma, Chengbo Zheng, Jianzhong Li, Wenfei Fan, Hongzhi Wang, Yinghui Wu and Qingyu Guo and has published in prestigious journals such as Expert Systems with Applications, Frontiers in Immunology and Computers & Education.

In The Last Decade

Shuai Ma

64 papers receiving 1000 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuai Ma Hong Kong 18 299 181 136 135 102 72 1.0k
Bjoern Hartmann United States 15 346 1.2× 289 1.6× 307 2.3× 227 1.7× 140 1.4× 49 1.1k
Dan Weld United States 6 450 1.5× 155 0.9× 172 1.3× 97 0.7× 109 1.1× 6 973
Andrea Bunt Canada 18 275 0.9× 260 1.4× 458 3.4× 156 1.2× 176 1.7× 61 1.1k
Dongwook Yoon Canada 15 250 0.8× 113 0.6× 209 1.5× 242 1.8× 121 1.2× 51 896
Werner Geyer United States 20 228 0.8× 136 0.8× 207 1.5× 119 0.9× 198 1.9× 75 1.2k
Alejandro Catalá Spain 15 314 1.1× 106 0.6× 250 1.8× 179 1.3× 165 1.6× 61 1.0k
Justin D. Weisz United States 13 397 1.3× 102 0.6× 122 0.9× 83 0.6× 137 1.3× 37 856
Taemie Kim United States 15 217 0.7× 175 1.0× 172 1.3× 134 1.0× 85 0.8× 20 1.2k
Sung-Soo Hong South Korea 17 223 0.7× 113 0.6× 114 0.8× 54 0.4× 62 0.6× 89 1.0k
Chinmay Kulkarni United States 18 343 1.1× 153 0.8× 144 1.1× 483 3.6× 188 1.8× 63 1.4k

Countries citing papers authored by Shuai Ma

Since Specialization
Citations

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

Fields of papers citing papers by Shuai Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuai Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Shuai Ma. A scholar is included among the top collaborators of Shuai Ma 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 Shuai Ma. Shuai Ma 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.
Ma, Shuai, et al.. (2025). DBox: Scaffolding Algorithmic Programming Learning through Learner-LLM Co-Decomposition. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–20. 2 indexed citations
2.
Ma, Shuai, Xinru Wang, Chengbo Zheng, et al.. (2025). Towards Human-AI Deliberation: Design and Evaluation of LLM-Empowered Deliberative AI for AI-Assisted Decision-Making. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–23. 3 indexed citations
3.
Ma, Shuai, et al.. (2025). Continuous blood pressure prediction based on GAF-driven multimodal PPG and ECG signal fusion. Measurement. 257. 118738–118738.
4.
5.
Xu, Lina, et al.. (2025). Decoding Cognitive Load: Eye-Tracking Insights into Working Memory and Visual Attention. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–7. 1 indexed citations
6.
Ma, Shuai, et al.. (2025). "AI Afterlife" as Digital Legacy: Perceptions, Expectations, and Concerns. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–18.
7.
Sun, Yuling, et al.. (2025). When Traditional Medicine Meets AI: Critical Considerations for AI-Empowered Clinical Support in Traditional Medicine. Proceedings of the ACM on Human-Computer Interaction. 9(7). 1–37. 1 indexed citations
8.
Ma, Shuai, Jiewu Leng, Pai Zheng, et al.. (2024). A digital twin-assisted deep transfer learning method towards intelligent thermal error modeling of electric spindles. Journal of Intelligent Manufacturing. 36(3). 1659–1688. 24 indexed citations
9.
Ma, Shuai, et al.. (2024). Unpacking ICT-supported Social Connections and Support of Late-life Migration: From the Lens of Social Convoys. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–15. 2 indexed citations
10.
Ma, Shuai, et al.. (2024). “Are You Really Sure?” Understanding the Effects of Human Self-Confidence Calibration in AI-Assisted Decision Making. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–20. 12 indexed citations
11.
Zheng, Chengbo, et al.. (2024). Charting the Future of AI in Project-Based Learning: A Co-Design Exploration with Students. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–19. 17 indexed citations
12.
Ma, Shuai, Jiewu Leng, Zhuyun Chen, et al.. (2024). A novel adaptive deep transfer learning method towards thermal error modeling of electric spindles under variable conditions. Journal of Manufacturing Systems. 74. 112–128. 20 indexed citations
13.
14.
Ma, Shuai, Jiewu Leng, Zhuyun Chen, et al.. (2023). A novel weakly supervised adversarial network for thermal error modeling of electric spindles with scarce samples. Expert Systems with Applications. 238. 122065–122065. 29 indexed citations
15.
Ma, Shuai & Jianwei Liu. (2023). Self-supervised contrastive learning for heterogeneous graph based on multi-pretext tasks. Neural Computing and Applications. 35(14). 10275–10296. 2 indexed citations
16.
Ma, Shuai, et al.. (2023). Who Should I Trust: AI or Myself? Leveraging Human and AI Correctness Likelihood to Promote Appropriate Trust in AI-Assisted Decision-Making. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–19. 66 indexed citations
17.
Ma, Shuai, et al.. (2023). RetroLens: A Human-AI Collaborative System for Multi-step Retrosynthetic Route Planning. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–20. 13 indexed citations
18.
Ma, Shuai, Mingfei Sun, & Xiaojuan Ma. (2022). Modeling Adaptive Expression of Robot Learning Engagement and Exploring Its Effects on Human Teachers. ACM Transactions on Computer-Human Interaction. 30(5). 1–48. 3 indexed citations
19.
Wong, Gary K. W., et al.. (2020). Broadening artificial intelligence education in K-12. ACM Inroads. 11(1). 20–29. 111 indexed citations
20.
Ma, Shuai, Xiaoqing Gong, Xiao Xiao, et al.. (2020). Detection of Leptospira interrogans in Hedgehogs from Central China. Vector-Borne and Zoonotic Diseases. 20(6). 427–431. 9 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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