Sheng Gao
- Artificial Intelligence top 2%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Statistical and Nonlinear Physics top 10%
- Topics
- Topic Modeling (33 papers)Natural Language Processing Techniques (25 papers)Recommender Systems and Techniques (10 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaApplied Physics Letters
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Sheng Gao
85 papers receiving 998 citations
Peers
Comparison fields: 5 of 107
- Artificial Intelligence 648
- Information Systems 230
- Computer Vision and Pattern Recognition 225
- Signal Processing 113
- Statistical and Nonlinear Physics 68
Countries citing papers authored by Sheng Gao
This map shows the geographic impact of Sheng Gao'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 Sheng Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheng Gao more than expected).
Fields of papers citing papers by Sheng Gao
This network shows the impact of papers produced by Sheng Gao. 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 Sheng Gao. The network helps show where Sheng Gao may publish in the future.
Co-authorship network of co-authors of Sheng Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Sheng Gao. A scholar is included among the top collaborators of Sheng Gao 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 Sheng Gao. Sheng Gao 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 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 8 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 4 | |
| 10 | 33 | |
| 11 | 3 | |
| 12 | 4 | |
| 13 | 2 | |
| 14 | 22 | |
| 15 | 2 | |
| 16 | 2 | |
| 17 | 14 | |
| 18 | 13 | |
| 19 | 13 | |
| 20 | Derivation and Application of Thermodynamic Equations | 28 |
About Sheng Gao
Sheng Gao is a scholar working on Computational Mathematics, Artificial Intelligence and Signal Processing, having authored 91 papers that have together received 1.0k indexed citations. Recurring topics across this work include Topic Modeling (33 papers), Natural Language Processing Techniques (25 papers) and Recommender Systems and Techniques (10 papers). The work is most often cited by research in Artificial Intelligence (648 citations), Computational Mathematics (8 citations) and Computer Vision and Pattern Recognition (225 citations). Sheng Gao has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Jun Guo, Chin‐Hui Lee, Si Li, Tat‐Seng Chua, Weiran Xu, Wen Wu, Patrick Gallinari, Chenliang Li, Long‐Qing Chen and Lin Qiu. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Applied Physics Letters.
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.