Pengfei Cao
- Artificial Intelligence top 5%
- Molecular Biology
- Civil and Structural Engineering
- Computer Vision and Pattern Recognition
- Management Science and Operations Research
- Topics
- Topic Modeling (14 papers)Advanced Graph Neural Networks (5 papers)Bayesian Modeling and Causal Inference (4 papers)
- Cited by
- Artificial IntelligenceHealth Information ManagementManagement Science and Operations Research
- Partner nations
- China
In The Last Decade
Pengfei Cao
19 papers receiving 397 citations
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 312
- Molecular Biology 64
- Civil and Structural Engineering 46
- Computer Vision and Pattern Recognition 45
- Management Science and Operations Research 37
Countries citing papers authored by Pengfei Cao
This map shows the geographic impact of Pengfei Cao'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 Pengfei Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pengfei Cao more than expected).
Fields of papers citing papers by Pengfei Cao
This network shows the impact of papers produced by Pengfei Cao. 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 Pengfei Cao. The network helps show where Pengfei Cao may publish in the future.
Co-authorship network of co-authors of Pengfei Cao
This figure shows the co-authorship network connecting the top 25 collaborators of Pengfei Cao. A scholar is included among the top collaborators of Pengfei Cao 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 Pengfei Cao. Pengfei Cao 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 | 3 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 49 | |
| 13 | 38 | |
| 14 | 31 | |
| 15 | 6 | |
| 16 | 6 | |
| 17 | 8 | |
| 18 | 69 | |
| 19 | 14 | |
| 20 | 134 |
About Pengfei Cao
Pengfei Cao is a scholar working on Artificial Intelligence, Analytical Chemistry and Management Science and Operations Research, having authored 24 papers that have together received 408 indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Advanced Graph Neural Networks (5 papers) and Bayesian Modeling and Causal Inference (4 papers). The work is most often cited by research in Artificial Intelligence (312 citations), Health Information Management (23 citations) and Management Science and Operations Research (37 citations). Pengfei Cao has collaborated with scholars based in China. Frequent co-authors include Kang Liu, Jun Zhao, Shengping Liu, Yubo Chen, Yubo Chen, Jun Zhao, Pengfei Shi, Yuguang Chen, Xinnan Fan and Xinyu Zuo. Their work appears in journals such as Information Sciences, Neurocomputing and Pattern Analysis and Applications.
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.