Shengxiang Gao
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Materials Chemistry
- Electrical and Electronic Engineering
- Information Systems
- Topics
- Topic Modeling (27 papers)Natural Language Processing Techniques (25 papers)Multimodal Machine Learning Applications (12 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Shengxiang Gao
58 papers receiving 471 citations
Peers
Comparison fields: 5 of 62
- Computer Vision and Pattern Recognition 238
- Artificial Intelligence 179
- Materials Chemistry 48
- Electrical and Electronic Engineering 46
- Information Systems 44
Countries citing papers authored by Shengxiang Gao
This map shows the geographic impact of Shengxiang 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 Shengxiang Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengxiang Gao more than expected).
Fields of papers citing papers by Shengxiang Gao
This network shows the impact of papers produced by Shengxiang 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 Shengxiang Gao. The network helps show where Shengxiang Gao may publish in the future.
Co-authorship network of co-authors of Shengxiang Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Shengxiang Gao. A scholar is included among the top collaborators of Shengxiang 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 Shengxiang Gao. Shengxiang 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 | 0 | |
| 2 | 14 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 18 | |
| 9 | 5 | |
| 10 | 15 | |
| 11 | 2 | |
| 12 | 16 | |
| 13 | 5 | |
| 14 | 3 | |
| 15 | 49 | |
| 16 | 0 | |
| 17 | 2 | |
| 18 | 19 | |
| 19 | 24 | |
| 20 | 10 |
About Shengxiang Gao
Shengxiang Gao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 69 papers that have together received 479 indexed citations. Recurring topics across this work include Topic Modeling (27 papers), Natural Language Processing Techniques (25 papers) and Multimodal Machine Learning Applications (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (238 citations), Artificial Intelligence (179 citations) and Computational Mathematics (3 citations). Shengxiang Gao has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Zhengtao Yu, Feng Li, Yunbin Tu, Junjun Guo, Zhiyuan Cui, Chang Zhou, Cunli Mao, Taisong Jin, Zhenqiu Shu and Lixia Deng. Their work appears in journals such as Chemical Society Reviews, Advanced Functional Materials and Chemical Engineering Journal.
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.