Zhihong Chen
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Information Systems top 10%
- Cancer Research
- Co-authors
- Xinyu JinChao ChenBoyuan JiangZhaowei ChengZhihang FuXian‐Sheng HuaSheng JinFeiyue Huang
- Topics
- Domain Adaptation and Few-Shot Learning (6 papers)Multimodal Machine Learning Applications (4 papers)Recommender Systems and Techniques (3 papers)
- Journals
- Separation and Purification TechnologyIEEE Transactions on Instrumentation and MeasurementNeural Computing and Applications
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Zhihong Chen
28 papers receiving 597 citations
Peers
Comparison fields: 5 of 98
- Artificial Intelligence 369
- Computer Vision and Pattern Recognition 297
- Signal Processing 106
- Information Systems 92
- Cancer Research 56
Countries citing papers authored by Zhihong Chen
This map shows the geographic impact of Zhihong Chen'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 Zhihong Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhihong Chen more than expected).
Fields of papers citing papers by Zhihong Chen
This network shows the impact of papers produced by Zhihong Chen. 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 Zhihong Chen. The network helps show where Zhihong Chen may publish in the future.
Co-authorship network of co-authors of Zhihong Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Zhihong Chen. A scholar is included among the top collaborators of Zhihong Chen 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 Zhihong Chen. Zhihong Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 9 | |
| 4 | 9 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 23 | |
| 12 | 32 | |
| 13 | 5 | |
| 14 | 8 | |
| 15 | 4 | |
| 16 | 85 | |
| 17 | 22 | |
| 18 | 16 | |
| 19 | 5 | |
| 20 | 3 |
About Zhihong Chen
Zhihong Chen is a scholar working on Computer Vision and Pattern Recognition, Computer Science Applications and Media Technology, having authored 30 papers that have together received 613 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (6 papers), Multimodal Machine Learning Applications (4 papers) and Recommender Systems and Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (297 citations), Artificial Intelligence (369 citations) and Signal Processing (106 citations). Zhihong Chen has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Xinyu Jin, Chao Chen, Boyuan Jiang, Zhaowei Cheng, Zhihang Fu, Xian‐Sheng Hua, Sheng Jin, Feiyue Huang, Taiping Yao and Shouhong Ding. Their work appears in journals such as Separation and Purification Technology, IEEE Transactions on Instrumentation and Measurement and Neural Computing and Applications.
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.