Zhenxing Niu
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Automotive Engineering top 5%
- Signal Processing top 5%
- Safety, Risk, Reliability and Quality top 5%
- Topics
- Advanced Image and Video Retrieval Techniques (15 papers)Multimodal Machine Learning Applications (13 papers)Human Pose and Action Recognition (9 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceJournal of Cleaner ProductionIEEE Transactions on Image Processing
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Zhenxing Niu
44 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Computer Vision and Pattern Recognition 946
- Artificial Intelligence 464
- Automotive Engineering 175
- Signal Processing 125
- Safety, Risk, Reliability and Quality 93
Countries citing papers authored by Zhenxing Niu
This map shows the geographic impact of Zhenxing Niu'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 Zhenxing Niu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhenxing Niu more than expected).
Fields of papers citing papers by Zhenxing Niu
This network shows the impact of papers produced by Zhenxing Niu. 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 Zhenxing Niu. The network helps show where Zhenxing Niu may publish in the future.
Co-authorship network of co-authors of Zhenxing Niu
This figure shows the co-authorship network connecting the top 25 collaborators of Zhenxing Niu. A scholar is included among the top collaborators of Zhenxing Niu 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 Zhenxing Niu. Zhenxing Niu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 14 | |
| 9 | 5 | |
| 10 | 21 | |
| 11 | 81 | |
| 12 | 29 | |
| 13 | 4 | |
| 14 | 20 | |
| 15 | 110 | |
| 16 | 22 | |
| 17 | 2 | |
| 18 | 25 | |
| 19 | 26 | |
| 20 | 2 |
About Zhenxing Niu
Zhenxing Niu is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Artificial Intelligence, having authored 44 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (15 papers), Multimodal Machine Learning Applications (13 papers) and Human Pose and Action Recognition (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (946 citations), Automotive Engineering (175 citations) and Artificial Intelligence (464 citations). Zhenxing Niu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Gang Hua, Xinbo Gao, Mo Zhou, Le Wang, Nanning Zheng, Qi Tian, Le Wang, Sanping Zhou, Qilin Zhang and Liushuai Shi. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Cleaner Production and IEEE Transactions on Image Processing.
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.