Lei‐Hong Zhang
- Computational Theory and Mathematics top 2%
- Numerical Analysis top 5%
- Computational Mechanics top 10%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Topics
- Advanced Optimization Algorithms Research (27 papers)Matrix Theory and Algorithms (26 papers)Sparse and Compressive Sensing Techniques (12 papers)
- Journals
- BioinformaticsIEEE Transactions on Pattern Analysis and Machine IntelligenceEuropean Journal of Operational Research
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Lei‐Hong Zhang
58 papers receiving 443 citations
Peers
Comparison fields: 5 of 86
- Computational Theory and Mathematics 198
- Numerical Analysis 153
- Computational Mechanics 105
- Computer Vision and Pattern Recognition 93
- Artificial Intelligence 67
Countries citing papers authored by Lei‐Hong Zhang
This map shows the geographic impact of Lei‐Hong Zhang'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 Lei‐Hong Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei‐Hong Zhang more than expected).
Fields of papers citing papers by Lei‐Hong Zhang
This network shows the impact of papers produced by Lei‐Hong Zhang. 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 Lei‐Hong Zhang. The network helps show where Lei‐Hong Zhang may publish in the future.
Co-authorship network of co-authors of Lei‐Hong Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Lei‐Hong Zhang. A scholar is included among the top collaborators of Lei‐Hong Zhang 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 Lei‐Hong Zhang. Lei‐Hong Zhang 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 | 0 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 16 | |
| 9 | 16 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 7 | |
| 13 | 3 | |
| 14 | 11 | |
| 15 | 6 | |
| 16 | 2 | |
| 17 | 11 | |
| 18 | A new steroidal glycoside from Lygodium japonicum | 8 |
| 19 | Chemical Constituents from Euphorbia latifolia | 2 |
| 20 | Secondary Metabolites of Morus alba Leaves | 3 |
About Lei‐Hong Zhang
Lei‐Hong Zhang is a scholar working on Numerical Analysis, Computational Mathematics and Computational Theory and Mathematics, having authored 63 papers that have together received 503 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (27 papers), Matrix Theory and Algorithms (26 papers) and Sparse and Compressive Sensing Techniques (12 papers). The work is most often cited by research in Computational Mathematics (24 citations), Numerical Analysis (153 citations) and Computational Theory and Mathematics (198 citations). Lei‐Hong Zhang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ren‐Cang Li, Li‐Zhi Liao, Wei Hong Yang, Zhaojun Bai, Michael K. Ng, Yunfeng Cai, Wen‐Cai Ye, Li Wang, Zhi‐Qi Yin and Shuqin Zhang. Their work appears in journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and European Journal of Operational Research.
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.