Cheng Sheng
- Signal Processing top 2%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Information Systems top 5%
- Topics
- Data Management and Algorithms (16 papers)Algorithms and Data Compression (7 papers)Advanced Image and Video Retrieval Techniques (6 papers)
- Cited by
- Signal ProcessingComputer Vision and Pattern RecognitionGeography, Planning and Development
- Journals
- IEEE Transactions on Knowledge and Data EngineeringProceedings of the VLDB EndowmentACM Transactions on Database Systems
- Partner nations
- Hong KongSouth KoreaUnited States
In The Last Decade
Cheng Sheng
18 papers receiving 462 citations
Peers
Comparison fields: 5 of 36
- Signal Processing 289
- Computer Vision and Pattern Recognition 216
- Computer Networks and Communications 204
- Artificial Intelligence 138
- Information Systems 110
Countries citing papers authored by Cheng Sheng
This map shows the geographic impact of Cheng Sheng'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 Cheng Sheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheng Sheng more than expected).
Fields of papers citing papers by Cheng Sheng
This network shows the impact of papers produced by Cheng Sheng. 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 Cheng Sheng. The network helps show where Cheng Sheng may publish in the future.
Co-authorship network of co-authors of Cheng Sheng
This figure shows the co-authorship network connecting the top 25 collaborators of Cheng Sheng. A scholar is included among the top collaborators of Cheng Sheng 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 Cheng Sheng. Cheng Sheng 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 | 1 | |
| 3 | 39 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 17 | |
| 7 | 6 | |
| 8 | 9 | |
| 9 | 43 | |
| 10 | 1 | |
| 11 | 25 | |
| 12 | 28 | |
| 13 | 14 | |
| 14 | 30 | |
| 15 | 8 | |
| 16 | 9 | |
| 17 | 82 | |
| 18 | 157 |
About Cheng Sheng
Cheng Sheng is a scholar working on Signal Processing, Computer Graphics and Computer-Aided Design and Computer Networks and Communications, having authored 18 papers that have together received 481 indexed citations. Recurring topics across this work include Data Management and Algorithms (16 papers), Algorithms and Data Compression (7 papers) and Advanced Image and Video Retrieval Techniques (6 papers). The work is most often cited by research in Signal Processing (289 citations), Computer Vision and Pattern Recognition (216 citations) and Geography, Planning and Development (55 citations). Cheng Sheng has collaborated with scholars based in Hong Kong, South Korea and United States. Frequent co-authors include Yufei Tao, Ke Yi, Panos Kalnis, Nan Zhang, Xin Jin, Jian Pei, Stavros Papadopoulos, Kostas Stefanidis, Jianzhong Li and Chin‐Wan Chung. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment and ACM Transactions on Database Systems.
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.