Chaofeng Sha
Impact in
- Artificial Intelligence top 5%
- Advanced Graph Neural Networks
- Data Stream Mining Techniques
- Topic Modeling
- Information Systems top 2%
- Data Mining Algorithms and Applications
Papers in
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- Topic Modeling 11
- Advanced Graph Neural Networks 8
- Machine Learning and Data Classification 7
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- Recommender Systems and Techniques 10
- Software Engineering Research 9
- Co-authors
- Aoying Zhou (32 shared papers)Li Ye (1 shared paper)Yanchun Zhang (1 shared paper)Xin Huang (1 shared paper)Xin Peng (11 shared papers)Weining Qian (4 shared papers)Jeffrey Xu Yu (2 shared papers)Cheqing Jin (1 shared paper)
- Journals
- Lecture notes in computer science (29 papers)Frontiers of Computer Science (2 papers)Knowledge-Based Systems (1 paper)IEEE Transactions on Software Engineering (1 paper)Data Science and Engineering (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Chaofeng Sha
64 papers receiving 868 citations
Chaofeng Sha's Hit Papers
Peers
Comparison fields: 5 of 62
- Artificial Intelligence 556
- Information Systems 350
- Signal Processing 163
- Computer Networks and Communications 328
- Statistical and Nonlinear Physics 158
Countries citing papers authored by Chaofeng Sha
This map shows the geographic impact of Chaofeng Sha'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 Chaofeng Sha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaofeng Sha more than expected).
Fields of papers citing papers by Chaofeng Sha
This network shows the impact of papers produced by Chaofeng Sha. 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 Chaofeng Sha. The network helps show where Chaofeng Sha may publish in the future.
Co-authors
The 25 scholars most cited alongside Chaofeng Sha, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 161 | |
| 2 | 2003 | 127 | |
| 3 | 2022 | 100 | |
| 4 | 2022 | 68 | |
| 5 | 2007 | 57 | |
| 6 | Evaluating Large Language Models in Class-Level Code Generation Hit paper breakdown → | 2024 | 52 |
| 7 | A framework for recommending relevant and diverse items | 2016 | 30 |
| 8 | 2013 | 23 | |
| 9 | 2010 | 23 | |
| 10 | 2022 | 17 | |
| 11 | 2016 | 16 | |
| 12 | 2023 | 16 | |
| 13 | 2022 | 15 | |
| 14 | 2011 | 15 | |
| 15 | 2004 | 12 | |
| 16 | 2010 | 11 | |
| 17 | 2023 | 10 | |
| 18 | 2012 | 10 | |
| 19 | 2013 | 9 | |
| 20 | 2003 | 8 |
About Chaofeng Sha
Chaofeng Sha is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing, having authored 69 papers that have together received 906 indexed citations. Recurring topics across this work include Data Management and Algorithms (12 papers), Topic Modeling (11 papers), Recommender Systems and Techniques (10 papers), Software Engineering Research (9 papers), Advanced Graph Neural Networks (8 papers), Advanced Image and Video Retrieval Techniques (7 papers), Advanced Database Systems and Queries (7 papers) and Machine Learning and Data Classification (7 papers). The work is most often cited by research in Artificial Intelligence (556 citations), Information Systems (350 citations), Signal Processing (163 citations), Computer Networks and Communications (328 citations) and Statistical and Nonlinear Physics (158 citations). Chaofeng Sha has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Aoying Zhou, Li Ye, Yanchun Zhang, Xin Huang, Xin Peng, Weining Qian, Jeffrey Xu Yu, Cheqing Jin, Chenxi Zhang and Bo Xu. Their work appears in journals such as Lecture notes in computer science, Frontiers of Computer Science, Knowledge-Based Systems, IEEE Transactions on Software Engineering and Data Science and Engineering.
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.