Chunming Tang
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Computer Networks and Communications top 5%
- Computational Theory and Mathematics top 5%
- Topics
- Cryptography and Data Security (49 papers)Privacy-Preserving Technologies in Data (22 papers)Blockchain Technology Applications and Security (16 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessIEEE Transactions on Communications
In The Last Decade
Chunming Tang
85 papers receiving 865 citations
Peers
Comparison fields: 5 of 94
- Artificial Intelligence 418
- Computer Vision and Pattern Recognition 269
- Information Systems 257
- Computer Networks and Communications 217
- Computational Theory and Mathematics 101
Countries citing papers authored by Chunming Tang
This map shows the geographic impact of Chunming Tang'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 Chunming Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunming Tang more than expected).
Fields of papers citing papers by Chunming Tang
This network shows the impact of papers produced by Chunming Tang. 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 Chunming Tang. The network helps show where Chunming Tang may publish in the future.
Co-authorship network of co-authors of Chunming Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Chunming Tang. A scholar is included among the top collaborators of Chunming Tang 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 Chunming Tang. Chunming Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | 7 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 12 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 36 | |
| 14 | 8 | |
| 15 | 13 | |
| 16 | Efficient and Publicly Verifiable Outsourcing of Large-scale Matrix Multiplication | 1 |
| 17 | 36 | |
| 18 | 43 | |
| 19 | Access control for web services combining attributes with roles | 0 |
| 20 | 0 |
About Chunming Tang
Chunming Tang is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics, having authored 95 papers that have together received 891 indexed citations. Recurring topics across this work include Cryptography and Data Security (49 papers), Privacy-Preserving Technologies in Data (22 papers) and Blockchain Technology Applications and Security (16 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (269 citations), Artificial Intelligence (418 citations) and Information Systems (257 citations). Chunming Tang has collaborated with scholars based in China, Singapore and Norway. Frequent co-authors include Ruisong Ye, Amir Javadpour, Qingfeng He, Yanjie Li, Yining Liu, Jingcheng Song, Jun Shao, Yucheng Chen, Debiao He and Majid Roohi. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Communications.
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.