Xinqian Gu
- Computer Vision and Pattern Recognition top 2%
- Biomedical Engineering
- Artificial Intelligence
- Safety, Risk, Reliability and Quality
- Electrical and Electronic Engineering
- Co-authors
- Shiguang ShanHong ChangBingpeng MaXilin ChenRuibing HouYongxin GeHongxing WangJing Zhang
- Topics
- Video Surveillance and Tracking Methods (9 papers)Gait Recognition and Analysis (7 papers)Human Pose and Action Recognition (6 papers)
- Cited by
- Computer Vision and Pattern RecognitionBiomedical EngineeringSafety, Risk, Reliability and Quality
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingObesity Reviews
- Partner nations
- ChinaNetherlandsHong Kong
In The Last Decade
Xinqian Gu
10 papers receiving 489 citations
Peers
Comparison fields: 5 of 48
- Computer Vision and Pattern Recognition 462
- Biomedical Engineering 246
- Artificial Intelligence 42
- Safety, Risk, Reliability and Quality 19
- Electrical and Electronic Engineering 12
Countries citing papers authored by Xinqian Gu
This map shows the geographic impact of Xinqian Gu'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 Xinqian Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinqian Gu more than expected).
Fields of papers citing papers by Xinqian Gu
This network shows the impact of papers produced by Xinqian Gu. 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 Xinqian Gu. The network helps show where Xinqian Gu may publish in the future.
Co-authorship network of co-authors of Xinqian Gu
This figure shows the co-authorship network connecting the top 25 collaborators of Xinqian Gu. A scholar is included among the top collaborators of Xinqian Gu 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 Xinqian Gu. Xinqian Gu 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 | 21 | |
| 4 | 130 | |
| 5 | 5 | |
| 6 | 73 | |
| 7 | 48 | |
| 8 | 9 | |
| 9 | 38 | |
| 10 | 164 | |
| 11 | 5 | |
| 12 | 1 |
About Xinqian Gu
Xinqian Gu is a scholar working on Computer Vision and Pattern Recognition, Pharmacy and Biomedical Engineering, having authored 12 papers that have together received 494 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (9 papers), Gait Recognition and Analysis (7 papers) and Human Pose and Action Recognition (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (462 citations), Biomedical Engineering (246 citations) and Safety, Risk, Reliability and Quality (19 citations). Xinqian Gu has collaborated with scholars based in China, Netherlands and Hong Kong. Frequent co-authors include Shiguang Shan, Hong Chang, Bingpeng Ma, Xilin Chen, Ruibing Hou, Yongxin Ge, Hongxing Wang, Jing Zhang, Dan Yang and Miyang Luo. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Obesity Reviews.
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.