Cencheng Shen
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Statistical and Nonlinear Physics
- Molecular Biology
- Statistics and Probability top 10%
- Co-authors
- Carey E. PriebeJoshua T VogelsteinJoshua T. VogelsteinMinh TangMing SunMauro MaggioniYoujin LeeQing Wang
- Topics
- Complex Network Analysis Techniques (10 papers)Advanced Graph Neural Networks (8 papers)Bioinformatics and Genomic Networks (6 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Information TheoryInformation Sciences
- Partner nations
- United StatesChinaFrance
In The Last Decade
Cencheng Shen
25 papers receiving 184 citations
Peers
Comparison fields: 5 of 92
- Artificial Intelligence 57
- Computer Vision and Pattern Recognition 36
- Statistical and Nonlinear Physics 36
- Molecular Biology 34
- Statistics and Probability 29
Countries citing papers authored by Cencheng Shen
This map shows the geographic impact of Cencheng Shen'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 Cencheng Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cencheng Shen more than expected).
Fields of papers citing papers by Cencheng Shen
This network shows the impact of papers produced by Cencheng Shen. 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 Cencheng Shen. The network helps show where Cencheng Shen may publish in the future.
Co-authorship network of co-authors of Cencheng Shen
This figure shows the co-authorship network connecting the top 25 collaborators of Cencheng Shen. A scholar is included among the top collaborators of Cencheng Shen 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 Cencheng Shen. Cencheng Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 24 | |
| 6 | 51 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | A Consistent Independence Test for Multivariate Time-Series | 1 |
| 10 | 13 | |
| 11 | Decision Forests Induce Characteristic Kernels. | 1 |
| 12 | From Distance Correlation to Multiscale Generalized Correlation | 1 |
| 13 | 11 | |
| 14 | 8 | |
| 15 | Discovering Relationships and their Structures Across Disparate Data Modalities | 1 |
| 16 | Discovering Relationships Across Disparate Data Modalities | 1 |
| 17 | Random Projection Forests | 2 |
| 18 | 5 | |
| 19 | 21 | |
| 20 | 1 |
About Cencheng Shen
Cencheng Shen is a scholar working on Statistical and Nonlinear Physics, Statistics and Probability and Artificial Intelligence, having authored 25 papers that have together received 188 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (10 papers), Advanced Graph Neural Networks (8 papers) and Bioinformatics and Genomic Networks (6 papers). The work is most often cited by research in Statistics and Probability (29 citations), Statistical and Nonlinear Physics (36 citations) and Artificial Intelligence (57 citations). Cencheng Shen has collaborated with scholars based in United States, China and France. Frequent co-authors include Carey E. Priebe, Joshua T Vogelstein, Joshua T. Vogelstein, Minh Tang, Ming Sun, Mauro Maggioni, Youjin Lee, Qing Wang, Eric Bridgeford and Youngser Park. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Information Theory and Information Sciences.
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.