Yao Wan
Impact in
- Software top 2%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Information Systems top 1%
- Software Engineering Research
Papers in
-
- Topic Modeling 25
- Natural Language Processing Techniques 18
- Advanced Text Analysis Techniques 5
-
- Software Engineering Research 19
- Web Data Mining and Analysis 8
- Co-authors
- Philip S. Yu (21 shared papers)Guandong Xu (14 shared papers)Yulei Sui (14 shared papers)Zhou Zhao (5 shared papers)Jian Wu (5 shared papers)Hai Jin (15 shared papers)Haochao Ying (1 shared paper)Min Yang (1 shared paper)
- Journals
- Knowledge-Based Systems (2 papers)IEEE Transactions on Software Engineering (2 papers)Journal of Systems and Software (2 papers)ACM Transactions on Software Engineering and Methodology (2 papers)Information and Software Technology (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yao Wan
50 papers receiving 1.1k citations
Yao Wan's Hit Papers
Peers
Comparison fields: 5 of 58
- Software 215
- Information Systems 610
- Artificial Intelligence 659
- Signal Processing 176
- Computer Science Applications 55
Countries citing papers authored by Yao Wan
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
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-authors
The 25 scholars most cited alongside Yao Wan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Improving automatic source code summarization via deep reinforcement learning Hit paper breakdown → | 2018 | 252 |
| 2 | 2021 | 112 | |
| 3 | 2022 | 77 | |
| 4 | 2020 | 75 | |
| 5 | 2020 | 66 | |
| 6 | 2022 | 52 | |
| 7 | 2020 | 51 | |
| 8 | 2023 | 39 | |
| 9 | 2022 | 30 | |
| 10 | 2021 | 30 | |
| 11 | 2021 | 27 | |
| 12 | 2023 | 24 | |
| 13 | 2019 | 22 | |
| 14 | 2022 | 17 | |
| 15 | 2024 | 16 | |
| 16 | 2021 | 15 | |
| 17 | 2024 | 15 | |
| 18 | 2018 | 15 | |
| 19 | 2021 | 13 | |
| 20 | 2021 | 12 |
About Yao Wan
Yao Wan is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Signal Processing and Software, having authored 59 papers that have together received 1.1k indexed citations. Recurring topics across this work include Topic Modeling (25 papers), Software Engineering Research (19 papers), Natural Language Processing Techniques (18 papers), Advanced Malware Detection Techniques (10 papers), Web Data Mining and Analysis (8 papers), Software Testing and Debugging Techniques (8 papers), Multimodal Machine Learning Applications (6 papers) and Advanced Text Analysis Techniques (5 papers). The work is most often cited by research in Software (215 citations), Information Systems (610 citations), Artificial Intelligence (659 citations), Signal Processing (176 citations) and Computer Science Applications (55 citations). Yao Wan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Philip S. Yu, Guandong Xu, Yulei Sui, Zhou Zhao, Jian Wu, Hai Jin, Haochao Ying, Min Yang, Lifang He and Liu Ye. Their work appears in journals such as Knowledge-Based Systems, IEEE Transactions on Software Engineering, Journal of Systems and Software, ACM Transactions on Software Engineering and Methodology and Information and Software Technology.
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.