Zhengkai Jiang
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Safety, Risk, Reliability and Quality top 10%
- Aerospace Engineering
- Plant Science
- Co-authors
- Chengjie WangYabiao WangPeng GaoSteven C. H. HoiPan LuHongsheng LiHaoxuan YouXiaogang Wang
- Topics
- Advanced Neural Network Applications (6 papers)Video Surveillance and Tracking Methods (5 papers)Advanced Image and Video Retrieval Techniques (4 papers)
In The Last Decade
Zhengkai Jiang
17 papers receiving 736 citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Computer Vision and Pattern Recognition 563
- Artificial Intelligence 358
- Safety, Risk, Reliability and Quality 47
- Aerospace Engineering 44
- Plant Science 38
Countries citing papers authored by Zhengkai Jiang
This map shows the geographic impact of Zhengkai Jiang'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 Zhengkai Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhengkai Jiang more than expected).
Fields of papers citing papers by Zhengkai Jiang
This network shows the impact of papers produced by Zhengkai Jiang. 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 Zhengkai Jiang. The network helps show where Zhengkai Jiang may publish in the future.
Co-authorship network of co-authors of Zhengkai Jiang
This figure shows the co-authorship network connecting the top 25 collaborators of Zhengkai Jiang. A scholar is included among the top collaborators of Zhengkai Jiang 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 Zhengkai Jiang. Zhengkai Jiang 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 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 36 | |
| 7 | 5 | |
| 8 | 5 | |
| 9 | Rethinking Mobile Block for Efficient Attention-based Modelsbreakdown → | 129 |
| 10 | 39 | |
| 11 | Rethinking Counting and Localization in Crowds: A Purely Point-Based Frameworkbreakdown → | 198 |
| 12 | 33 | |
| 13 | 1 | |
| 14 | 4 | |
| 15 | 242 | |
| 16 | 34 | |
| 17 | 3 | |
| 18 | 5 | |
| 19 | Construction of self-learning Bayesian network based on Netica | 7 |
| 20 | 3 |
About Zhengkai Jiang
Zhengkai Jiang is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Artificial Intelligence, having authored 20 papers that have together received 747 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (6 papers), Video Surveillance and Tracking Methods (5 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (563 citations), Artificial Intelligence (358 citations) and Safety, Risk, Reliability and Quality (47 citations). Zhengkai Jiang has collaborated with scholars based in China, Hong Kong and Taiwan. Frequent co-authors include Chengjie Wang, Yabiao Wang, Peng Gao, Steven C. H. Hoi, Pan Lu, Hongsheng Li, Haoxuan You, Xiaogang Wang, Ying Tai and Yang Wu. Their work appears in journals such as Sensors, Frontiers in Physiology and Advances in Clinical and Experimental Medicine.
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.