Zhongshi He
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Molecular Biology
- Neurology top 5%
- Topics
- Advanced Image Processing Techniques (16 papers)Image and Signal Denoising Methods (11 papers)Advanced Text Analysis Techniques (7 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Zhongshi He
84 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 135
- Computer Vision and Pattern Recognition 466
- Artificial Intelligence 432
- Radiology, Nuclear Medicine and Imaging 148
- Molecular Biology 142
- Neurology 133
Countries citing papers authored by Zhongshi He
This map shows the geographic impact of Zhongshi He'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 Zhongshi He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhongshi He more than expected).
Fields of papers citing papers by Zhongshi He
This network shows the impact of papers produced by Zhongshi He. 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 Zhongshi He. The network helps show where Zhongshi He may publish in the future.
Co-authorship network of co-authors of Zhongshi He
This figure shows the co-authorship network connecting the top 25 collaborators of Zhongshi He. A scholar is included among the top collaborators of Zhongshi He 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 Zhongshi He. Zhongshi He 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 | 1 | |
| 3 | 2 | |
| 4 | 12 | |
| 5 | 9 | |
| 6 | 10 | |
| 7 | 38 | |
| 8 | 70 | |
| 9 | 5 | |
| 10 | Research on evaluation scheme for computer simulation system | 0 |
| 11 | Self-adaptive Artificial Fish Swarm Algorithm for RNA Secondary Structure Prediction | 1 |
| 12 | Research on attribute reduction based on rough set and its application in medical diagnosis | 1 |
| 13 | 105 | |
| 14 | 8 | |
| 15 | A New Methal Unsupervised Feature Selection for Text Mining | 2 |
| 16 | Term selection and weighting approach based on key words in text categorization | 1 |
| 17 | Hierarchical categorization methods of Chinese text based on vector space model | 0 |
| 18 | Algorithm Based on SVM and Rules for the Disambiguation of Combinatorial Ambiguous Phrases | 0 |
| 19 | A Smoothing Technique for Statistical Language Model Based on Mutual Information | 1 |
| 20 | 1 |
About Zhongshi He
Zhongshi He is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 96 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (16 papers), Image and Signal Denoising Methods (11 papers) and Advanced Text Analysis Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (466 citations), Neurology (133 citations) and Artificial Intelligence (432 citations). Zhongshi He has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yuanyuan Jia, Zexun Zhou, Hao Zhu, Henry Leung, Jinglong Du, Jun Qin, Lulu Wang, Ali Gholipour, Weiwei Zhang and Dingding Chen. Their work appears in journals such as IEEE Access, IEEE Transactions on Medical Imaging and Journal of Computational Chemistry.
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.