Ming Yin

3.2k total citations · 3 hit papers
104 papers, 2.0k citations indexed

About

Ming Yin is a scholar working on Artificial Intelligence, Safety Research and Computer Science Applications. According to data from OpenAlex, Ming Yin has authored 104 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 27 papers in Safety Research and 17 papers in Computer Science Applications. Recurrent topics in Ming Yin's work include Ethics and Social Impacts of AI (21 papers), Explainable Artificial Intelligence (XAI) (17 papers) and Mobile Crowdsensing and Crowdsourcing (16 papers). Ming Yin is often cited by papers focused on Ethics and Social Impacts of AI (21 papers), Explainable Artificial Intelligence (XAI) (17 papers) and Mobile Crowdsensing and Crowdsourcing (16 papers). Ming Yin collaborates with scholars based in United States, China and Singapore. Ming Yin's co-authors include Jennifer Wortman Vaughan, Xinru Wang, Hanna Wallach, Zhuoran Lu, Steven C. Bourassa, C. Chiang, Xiao Hu, Yiling Chen, Siddharth Suri and Mary L. Gray and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nano Letters and ACS Nano.

In The Last Decade

Ming Yin

98 papers receiving 1.9k citations

Hit Papers

Understanding the Effect of Accuracy on Trust in Machine ... 2019 2026 2021 2023 2019 2021 2025 50 100 150 200 250
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. Understanding the Effect of Accuracy on Trust in Machine Learning Models
    2019 292 citations Ming Yin et al. profile →
  2. Are Explanations Helpful? A Comparative Study of the Effects of Explanations in AI-Assisted Decision-Making
    2021 152 citations Xinru Wang, Ming Yin profile →
  3. Magnetic Nanoactuator-Protein Fiber Coated Hydrogel Dressing for Well-Balanced Skin Wound Healing and Tissue Regeneration
    2025 20 citations Ming Yin et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Yin United States 25 733 443 276 250 246 104 2.0k
Min Kyung Lee United States 35 1.1k 1.5× 1.0k 2.3× 44 0.2× 1.2k 4.8× 267 1.1× 103 4.6k
Joonhwan Lee South Korea 21 376 0.5× 111 0.3× 245 0.9× 276 1.1× 77 0.3× 96 1.6k
Lijia Chen China 28 503 0.7× 111 0.3× 675 2.4× 55 0.2× 583 2.4× 167 4.0k
Jianxi Luo Singapore 33 376 0.5× 31 0.1× 369 1.3× 167 0.7× 77 0.3× 143 2.8k
Jian Mou China 29 842 1.1× 128 0.3× 21 0.1× 316 1.3× 169 0.7× 127 3.4k
Jürgen Rudolph Germany 12 572 0.8× 153 0.3× 39 0.1× 45 0.2× 407 1.7× 97 1.7k
Dakuo Wang United States 28 1.0k 1.4× 310 0.7× 10 0.0× 305 1.2× 232 0.9× 95 2.4k
Wanli Xing United States 34 620 0.8× 76 0.2× 51 0.2× 119 0.5× 1.3k 5.2× 169 3.7k
Chien‐Liang Lin Taiwan 22 151 0.2× 32 0.1× 186 0.7× 83 0.3× 74 0.3× 77 1.6k

Countries citing papers authored by Ming Yin

Since Specialization
Citations

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

Fields of papers citing papers by Ming Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Yin. A scholar is included among the top collaborators of Ming Yin 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 Ming Yin. Ming Yin 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.
Yang, Xiaohui, et al.. (2025). Effect of Mo content on microstructural evolution, corrosion behavior, and friction performance of laser cladded (Fe50Mn30Co10Cr10)1−xMox coatings. Surface and Coatings Technology. 504. 132022–132022. 3 indexed citations
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Chiang, C., et al.. (2025). Understanding User Needs and Attitudes for Privacy Protection Tools in Online Visual Content Sharing. Proceedings of the ACM on Human-Computer Interaction. 9(7). 1–31.
5.
Peng, Jing, et al.. (2024). How Does the Disclosure of AI Assistance Affect the Perceptions of Writing?. 4849–4868. 1 indexed citations
6.
Chiang, C., et al.. (2024). Enhancing AI-Assisted Group Decision Making through LLM-Powered Devil's Advocate. 103–119. 24 indexed citations
7.
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
8.
Liang, Chen, et al.. (2024). The Valuation Paradox of Generative AI: Evidence from Gig Workers. SSRN Electronic Journal. 1 indexed citations
9.
Li, Kaiyuan, et al.. (2024). Identifying a selection mechanism of distribution channel for the supply chain: The barriers to the application of web 3.0. Future Generation Computer Systems. 159. 370–378. 3 indexed citations
10.
Liang, Chen, et al.. (2024). The Value, Benefits, and Concerns of Generative AI-Powered Assistance in Writing. 1–25. 27 indexed citations
11.
Yin, Ming, et al.. (2024). ToneCheck: Unveiling the Impact of Dialects in Privacy Policy. 7–18. 2 indexed citations
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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
15.
Huang, Jianbin, et al.. (2023). Evaluation of precipitation extremes over the Tibetan plateau using the NASA global daily downscaled datasets NEX-GDDP-CMIP6. Advances in Climate Change Research. 14(6). 884–895. 10 indexed citations
16.
Ho, Chien-Ju, et al.. (2023). How does Value Similarity affect Human Reliance in AI-Assisted Ethical Decision Making?. 49–57. 2 indexed citations
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Aggarwal, Vaneet, et al.. (2022). A Computer Vision Approach for Estimating Lifting Load Contributors to Injury Risk. IEEE Transactions on Human-Machine Systems. 52(2). 207–219. 18 indexed citations
19.
Wu, Min, Shaohua Zhang, Lifeng Hou, et al.. (2020). Corrosion behavior of carbon steel in chloride and bicarbonate ion‐enriched and CO2‐saturated solutions. Materials and Corrosion. 71(9). 1533–1546. 19 indexed citations
20.
Yin, Ming & Yiling Chen. (2015). Bonus or not? learn to reward in crowdsourcing. International Conference on Artificial Intelligence. 201–207. 24 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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