Peng Gao
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 2%
- Aerospace Engineering top 5%
- Building and Construction top 5%
- Transportation top 5%
- Topics
- Video Surveillance and Tracking Methods (20 papers)Multimodal Machine Learning Applications (9 papers)Advanced Image and Video Retrieval Techniques (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Peng Gao
96 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Computer Vision and Pattern Recognition 1.2k
- Artificial Intelligence 761
- Aerospace Engineering 201
- Building and Construction 120
- Transportation 117
Countries citing papers authored by Peng Gao
This map shows the geographic impact of Peng 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 Peng Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Gao more than expected).
Fields of papers citing papers by Peng Gao
This network shows the impact of papers produced by Peng 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 Peng Gao. The network helps show where Peng Gao may publish in the future.
Co-authorship network of co-authors of Peng Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Peng Gao. A scholar is included among the top collaborators of Peng 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 Peng Gao. Peng 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 | 0 | |
| 4 | 36 | |
| 5 | 7 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 15 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 2 | |
| 14 | 45 | |
| 15 | 14 | |
| 16 | 25 | |
| 17 | 51 | |
| 18 | 86 | |
| 19 | A Prototype for Content-Rich Decision-Making Support in NOAA using Data as an Asset | 1 |
| 20 | Research on Mental Crisis and Mental Crisis Intervention | 1 |
About Peng Gao
Peng Gao is a scholar working on Computer Vision and Pattern Recognition, Computational Mathematics and Artificial Intelligence, having authored 105 papers that have together received 2.1k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (20 papers), Multimodal Machine Learning Applications (9 papers) and Advanced Image and Video Retrieval Techniques (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Artificial Intelligence (761 citations) and Transportation (117 citations). Peng Gao has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Hongsheng Li, Xiaogang Wang, Shijie Geng, Yongfeng Zhang, Renrui Zhang, Rongyao Fang, Yu Qiao, Teli Ma, Minghang Zheng and Haoxuan You. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.