Raymond Cheng
- Information Systems top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 5%
- Signal Processing
- Co-authors
- Dawn SongEnhong ChenAapo KyrolaFan YangYoushan MiaoLidong ZhouFeng ZhaoMing Wu
- Topics
- Blockchain Technology Applications and Security (4 papers)Distributed systems and fault tolerance (3 papers)Peer-to-Peer Network Technologies (2 papers)
- Cited by
- Information SystemsComputer Vision and Pattern RecognitionComputer Networks and Communications
- Journals
- PLoS Computational BiologyGastrointestinal EndoscopyIEEE Transactions on Parallel and Distributed Systems
- Partner nations
- United StatesCanadaChina
In The Last Decade
Raymond Cheng
14 papers receiving 416 citations
Peers
Comparison fields: 5 of 56
- Information Systems 248
- Artificial Intelligence 176
- Computer Networks and Communications 169
- Computer Vision and Pattern Recognition 166
- Signal Processing 38
Countries citing papers authored by Raymond Cheng
This map shows the geographic impact of Raymond 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 Raymond Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raymond Cheng more than expected).
Fields of papers citing papers by Raymond Cheng
This network shows the impact of papers produced by Raymond 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 Raymond Cheng. The network helps show where Raymond Cheng may publish in the future.
Co-authorship network of co-authors of Raymond Cheng
This figure shows the co-authorship network connecting the top 25 collaborators of Raymond Cheng. A scholar is included among the top collaborators of Raymond 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 Raymond Cheng. Raymond 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 | 23 | |
| 2 | 78 | |
| 3 | 24 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 54 | |
| 7 | 10 | |
| 8 | 4 | |
| 9 | 177 | |
| 10 | 2 | |
| 11 | 29 | |
| 12 | 13 | |
| 13 | 8 | |
| 14 | 6 |
About Raymond Cheng
Raymond Cheng is a scholar working on Information Systems, Computer Networks and Communications and Signal Processing, having authored 14 papers that have together received 435 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (4 papers), Distributed systems and fault tolerance (3 papers) and Peer-to-Peer Network Technologies (2 papers). The work is most often cited by research in Information Systems (248 citations), Computer Vision and Pattern Recognition (166 citations) and Computer Networks and Communications (169 citations). Raymond Cheng has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Dawn Song, Enhong Chen, Aapo Kyrola, Fan Yang, Youshan Miao, Lidong Zhou, Feng Zhao, Ming Wu, Ji Hyung Hong and Yanqing Peng. Their work appears in journals such as PLoS Computational Biology, Gastrointestinal Endoscopy and IEEE Transactions on Parallel and Distributed 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.