Peng Shi
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Civil and Structural Engineering top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Management Science and Operations Research top 10%
- Topics
- Topic Modeling (15 papers)Natural Language Processing Techniques (15 papers)AI in cancer detection (11 papers)
- Cited by
- Artificial IntelligenceManagement Science and Operations ResearchComputer Vision and Pattern Recognition
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Peng Shi
46 papers receiving 667 citations
Peers
Comparison fields: 5 of 108
- Artificial Intelligence 416
- Computer Vision and Pattern Recognition 133
- Civil and Structural Engineering 117
- Radiology, Nuclear Medicine and Imaging 117
- Management Science and Operations Research 81
Countries citing papers authored by Peng Shi
This map shows the geographic impact of Peng Shi'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 Peng Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Shi more than expected).
Fields of papers citing papers by Peng Shi
This network shows the impact of papers produced by Peng Shi. 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 Peng Shi. The network helps show where Peng Shi may publish in the future.
Co-authorship network of co-authors of Peng Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Peng Shi. A scholar is included among the top collaborators of Peng Shi 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 Peng Shi. Peng Shi 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 10 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 3 | |
| 13 | 8 | |
| 14 | 1 | |
| 15 | 98 | |
| 16 | 32 | |
| 17 | Farewell Freebase: Migrating the SimpleQuestions Dataset to DBpedia. | 10 |
| 18 | 2 | |
| 19 | 4 | |
| 20 | 10 |
About Peng Shi
Peng Shi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Biophysics, having authored 51 papers that have together received 693 indexed citations. Recurring topics across this work include Topic Modeling (15 papers), Natural Language Processing Techniques (15 papers) and AI in cancer detection (11 papers). The work is most often cited by research in Artificial Intelligence (416 citations), Management Science and Operations Research (81 citations) and Computer Vision and Pattern Recognition (133 citations). Peng Shi has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Jimmy Lin, Jing Zhong, Lu Deng, Xuan Kong, Hui Wang, Wei Wang, Chaoqun Xiang, Xu Sun, Andrik Rampun and Yanyan Zou. Their work appears in journals such as PLoS ONE, Scientific Reports and Expert Systems with 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.