Zheru Chi
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 2%
- Plant Science top 5%
- Media Technology top 1%
- Experimental and Cognitive Psychology top 5%
- Topics
- Image Retrieval and Classification Techniques (54 papers)Advanced Image and Video Retrieval Techniques (43 papers)Neural Networks and Applications (26 papers)
In The Last Decade
Zheru Chi
160 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 150
- Computer Vision and Pattern Recognition 1.6k
- Artificial Intelligence 811
- Plant Science 413
- Media Technology 366
- Experimental and Cognitive Psychology 314
Countries citing papers authored by Zheru Chi
This map shows the geographic impact of Zheru Chi'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 Zheru Chi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zheru Chi more than expected).
Fields of papers citing papers by Zheru Chi
This network shows the impact of papers produced by Zheru Chi. 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 Zheru Chi. The network helps show where Zheru Chi may publish in the future.
Co-authorship network of co-authors of Zheru Chi
This figure shows the co-authorship network connecting the top 25 collaborators of Zheru Chi. A scholar is included among the top collaborators of Zheru Chi 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 Zheru Chi. Zheru Chi 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 | 8 | |
| 3 | 20 | |
| 4 | 126 | |
| 5 | A robust background subtraction approach with a moving camera | 3 |
| 6 | 2 | |
| 7 | 22 | |
| 8 | 23 | |
| 9 | An algorithm for semantic chunk identification of Chinese sentence | 1 |
| 10 | 1 | |
| 11 | 44 | |
| 12 | A Similarity Measure Method of Chinese Sentence Structures | 6 |
| 13 | Precisely locating human eyes from front-view face images | 0 |
| 14 | 24 | |
| 15 | 26 | |
| 16 | 13 | |
| 17 | 6 | |
| 18 | 1 | |
| 19 | Image Classification Using Kolmogorov COmplexity Measure with Randomly Extracted Blocks | 4 |
| 20 | 1 |
About Zheru Chi
Zheru Chi is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Artificial Intelligence, having authored 170 papers that have together received 3.2k indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (54 papers), Advanced Image and Video Retrieval Techniques (43 papers) and Neural Networks and Applications (26 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Human-Computer Interaction (251 citations) and Media Technology (366 citations). Zheru Chi has collaborated with scholars based in Hong Kong, China and Australia. Frequent co-authors include Dagan Feng, Hong Yan, Hong Fu, Tuan D. Pham, Zenghai Chen, Junkai Chen, Zhiyong Wang, Zhaoyuan Wang, Horace H. S. Ip and De-Shuang Huang. Their work appears in journals such as Journal of Applied Physics, IEEE Transactions on Pattern Analysis and Machine Intelligence 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.