Yao Wan

2.1k total citations · 1 hit paper
63 papers, 1.1k citations indexed

About

Yao Wan is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yao Wan has authored 63 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 28 papers in Information Systems and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yao Wan's work include Topic Modeling (25 papers), Software Engineering Research (19 papers) and Natural Language Processing Techniques (18 papers). Yao Wan is often cited by papers focused on Topic Modeling (25 papers), Software Engineering Research (19 papers) and Natural Language Processing Techniques (18 papers). Yao Wan collaborates with scholars based in China, United States and Australia. Yao Wan's co-authors include Philip S. Yu, Guandong Xu, Yulei Sui, Zhou Zhao, Jian Wu, Haochao Ying, Min Yang, Hai Jin, Lifang He and Liu Ye and has published in prestigious journals such as Journal of Environmental Management, ACM Computing Surveys and IEEE Transactions on Software Engineering.

In The Last Decade

Yao Wan

50 papers receiving 1.0k citations

Hit Papers

Improving automatic source code summarization via deep re... 2018 2026 2020 2023 2018 50 100 150 200
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. Improving automatic source code summarization via deep reinforcement learning
    2018 249 citations Yao Wan, Guandong Xu 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
Yao Wan China 16 646 594 214 174 139 63 1.1k
Zhou Yang Singapore 15 509 0.8× 361 0.6× 177 0.8× 111 0.6× 159 1.1× 63 946
Deheng Ye China 15 544 0.8× 364 0.6× 69 0.3× 84 0.5× 115 0.8× 29 885
Eui Chul Richard Shin United States 9 471 0.7× 277 0.5× 103 0.5× 186 1.1× 128 0.9× 14 684
James C. Davis United States 14 192 0.3× 266 0.4× 139 0.6× 120 0.7× 136 1.0× 64 568
Vincent J. Hellendoorn United States 15 436 0.7× 812 1.4× 535 2.5× 194 1.1× 235 1.7× 26 1.2k
Friedrich Steimann Germany 16 698 1.1× 674 1.1× 382 1.8× 79 0.5× 240 1.7× 68 1.1k
Nobukazu Yoshioka Japan 15 292 0.5× 619 1.0× 104 0.5× 215 1.2× 301 2.2× 140 874
Pak‐Lok Poon Australia 14 233 0.4× 345 0.6× 599 2.8× 90 0.5× 163 1.2× 54 896
Sílvio R. L. Meira Brazil 15 242 0.4× 379 0.6× 204 1.0× 35 0.2× 119 0.9× 67 651
Dima Alhadidi Canada 10 288 0.4× 222 0.4× 79 0.4× 292 1.7× 263 1.9× 34 575

Countries citing papers authored by Yao Wan

Since Specialization
Citations

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

Fields of papers citing papers by Yao Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yao Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Yao Wan. A scholar is included among the top collaborators of Yao Wan 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 Yao Wan. Yao Wan 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
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Wan, Yao, et al.. (2025). Evaluating Large Language Models in Ophthalmology: Systematic Review. Journal of Medical Internet Research. 27. e76947–e76947.
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Chen, Dongping, et al.. (2025). Judge Anything: MLLM as a Judge Across Any Modality. 5742–5753. 1 indexed citations
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Wan, Yao, Wenting Zhao, Ye Liu, et al.. (2025). Can Large Language Models Serve as Evaluators for Code Summarization?. IEEE Transactions on Software Engineering. 51(12). 3205–3217.
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Zhu, Yang, et al.. (2025). Bash command comment generation via multi-scale heterogeneous feature fusion. Automated Software Engineering. 32(1).
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Cheng, Ming, et al.. (2024). Hierarchical medical image report adversarial generation with hybrid discriminator. Artificial Intelligence in Medicine. 151. 102846–102846. 5 indexed citations
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Zhang, Hongyu, et al.. (2024). IRCoCo: Immediate Rewards-Guided Deep Reinforcement Learning for Code Completion. Proceedings of the ACM on software engineering.. 1(FSE). 182–203. 4 indexed citations
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Zhang, Yan, Dan Wu, Yao Wan, et al.. (2024). Engineered extracellular vesicles for tissue repair and regeneration. Burns & Trauma. 12. tkae062–tkae062. 32 indexed citations
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Wan, Yao, Zheng Wang, Hongyu Zhang, et al.. (2024). Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback. 2336–2353. 5 indexed citations
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Wan, Yao, et al.. (2024). CodeIP: A Grammar-Guided Multi-Bit Watermark for Large Language Models of Code. 9243–9258. 4 indexed citations
16.
Liu, Jin, et al.. (2023). Diverse title generation for Stack Overflow posts with multiple-sampling-enhanced transformer. Journal of Systems and Software. 200. 111672–111672. 6 indexed citations
17.
Gong, Jibing, et al.. (2023). Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks. ACM Transactions on the Web. 17(3). 1–27. 20 indexed citations
18.
Liu, Xiao, Yao Wan, Yanjie Zhao, et al.. (2023). PyScribe–Learning to describe python code. Software Practice and Experience. 54(3). 501–527. 1 indexed citations
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Liu, Jin, et al.. (2023). Summarizing source code with Heterogeneous Syntax Graph and dual position. Information Processing & Management. 60(5). 103415–103415. 3 indexed citations
20.
Wang, Dongjing, Xin Zhang, Yao Wan, et al.. (2021). Modeling Sequential Listening Behaviors With Attentive Temporal Point Process for Next and Next New Music Recommendation. IEEE Transactions on Multimedia. 24. 4170–4182. 26 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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