Jiefeng Cheng
- Signal Processing top 2%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Co-authors
- Jeffrey Xu YuPhilip S. YuHaixun WangReynold ChengYunming YeLiwen SunDavid W. CheungBolin Ding
- Topics
- Data Management and Algorithms (8 papers)Graph Theory and Algorithms (7 papers)Advanced Database Systems and Queries (7 papers)
- Cited by
- Signal ProcessingComputer Vision and Pattern RecognitionComputer Networks and Communications
- Journals
- IEEE Transactions on Knowledge and Data EngineeringProceedings of the VLDB EndowmentApplied Acoustics
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Jiefeng Cheng
20 papers receiving 654 citations
Peers
Comparison fields: 5 of 69
- Signal Processing 302
- Artificial Intelligence 299
- Computer Vision and Pattern Recognition 282
- Computer Networks and Communications 248
- Information Systems 234
Countries citing papers authored by Jiefeng Cheng
This map shows the geographic impact of Jiefeng Cheng'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 Jiefeng Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiefeng Cheng more than expected).
Fields of papers citing papers by Jiefeng Cheng
This network shows the impact of papers produced by Jiefeng Cheng. 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 Jiefeng Cheng. The network helps show where Jiefeng Cheng may publish in the future.
Co-authorship network of co-authors of Jiefeng Cheng
This figure shows the co-authorship network connecting the top 25 collaborators of Jiefeng Cheng. A scholar is included among the top collaborators of Jiefeng Cheng 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 Jiefeng Cheng. Jiefeng Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 17 | |
| 3 | 1 | |
| 4 | 38 | |
| 5 | 1 | |
| 6 | 45 | |
| 7 | 34 | |
| 8 | 40 | |
| 9 | 2 | |
| 10 | 117 | |
| 11 | 3 | |
| 12 | 16 | |
| 13 | 99 | |
| 14 | 29 | |
| 15 | 2 | |
| 16 | 49 | |
| 17 | 119 | |
| 18 | 1 | |
| 19 | 55 | |
| 20 | 3 |
About Jiefeng Cheng
Jiefeng Cheng is a scholar working on Signal Processing, Computer Networks and Communications and Information Systems, having authored 20 papers that have together received 674 indexed citations. Recurring topics across this work include Data Management and Algorithms (8 papers), Graph Theory and Algorithms (7 papers) and Advanced Database Systems and Queries (7 papers). The work is most often cited by research in Signal Processing (302 citations), Computer Vision and Pattern Recognition (282 citations) and Computer Networks and Communications (248 citations). Jiefeng Cheng has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Jeffrey Xu Yu, Philip S. Yu, Haixun Wang, Reynold Cheng, Yunming Ye, Liwen Sun, David W. Cheung, Bolin Ding, Zhenguo Li and John C. S. Lui. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment and Applied Acoustics.
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.