Zhaohong Deng
- Artificial Intelligence top 0.5%
- Computer Vision and Pattern Recognition top 0.5%
- Cognitive Neuroscience top 5%
- Signal Processing top 2%
- Control and Systems Engineering top 5%
- Co-authors
- Shitong WangKup‐Sze ChoiFu-Lai ChungJun WangYizhang JiangPengjiang QianGuanjin WangHisao Ishibuchi
- Topics
- Face and Expression Recognition (43 papers)Neural Networks and Applications (30 papers)Fuzzy Logic and Control Systems (25 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Zhaohong Deng
132 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 151
- Artificial Intelligence 2.1k
- Computer Vision and Pattern Recognition 1.2k
- Cognitive Neuroscience 649
- Signal Processing 412
- Control and Systems Engineering 242
Countries citing papers authored by Zhaohong Deng
This map shows the geographic impact of Zhaohong Deng'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 Zhaohong Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhaohong Deng more than expected).
Fields of papers citing papers by Zhaohong Deng
This network shows the impact of papers produced by Zhaohong Deng. 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 Zhaohong Deng. The network helps show where Zhaohong Deng may publish in the future.
Co-authorship network of co-authors of Zhaohong Deng
This figure shows the co-authorship network connecting the top 25 collaborators of Zhaohong Deng. A scholar is included among the top collaborators of Zhaohong Deng 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 Zhaohong Deng. Zhaohong Deng 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 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 15 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 6 | |
| 15 | Survey on challenges in clustering analysis research | 14 |
| 16 | 5 | |
| 17 | Research on Subspace Possibilistic Clustering Mechanism | 3 |
| 18 | Global and Local Preserving Based Semi-supervised Support Vector Machine | 6 |
| 19 | 13 | |
| 20 | Fuzzy Kernel Hyper-Ball Perceptron | 1 |
About Zhaohong Deng
Zhaohong Deng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Urban Studies, having authored 146 papers that have together received 3.6k indexed citations. Recurring topics across this work include Face and Expression Recognition (43 papers), Neural Networks and Applications (30 papers) and Fuzzy Logic and Control Systems (25 papers). The work is most often cited by research in Artificial Intelligence (2.1k citations), Computer Vision and Pattern Recognition (1.2k citations) and Signal Processing (412 citations). Zhaohong Deng has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Shitong Wang, Kup‐Sze Choi, Fu-Lai Chung, Jun Wang, Yizhang Jiang, Yizhang Jiang, Pengjiang Qian, Guanjin Wang, Hisao Ishibuchi and Zhiyong Xiao. Their work appears in journals such as NeuroImage, Bioresource Technology 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.