Minfeng Zhu
- Computer Vision and Pattern Recognition top 2%
- Molecular Biology
- Computational Theory and Mathematics top 1%
- Artificial Intelligence top 10%
- Transportation top 5%
- Co-authors
- Dongsheng CaoYi YangPingbo PanWei ChenZhi‐Jiang YaoJie DongAiping LüNingning Wang
- Topics
- Computational Drug Discovery Methods (10 papers)Data Visualization and Analytics (9 papers)Human Mobility and Location-Based Analysis (9 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputational Theory and MathematicsComputer Graphics and Computer-Aided Design
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Minfeng Zhu
40 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Computer Vision and Pattern Recognition 650
- Molecular Biology 621
- Computational Theory and Mathematics 477
- Artificial Intelligence 201
- Transportation 110
Countries citing papers authored by Minfeng Zhu
This map shows the geographic impact of Minfeng Zhu'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 Minfeng Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minfeng Zhu more than expected).
Fields of papers citing papers by Minfeng Zhu
This network shows the impact of papers produced by Minfeng Zhu. 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 Minfeng Zhu. The network helps show where Minfeng Zhu may publish in the future.
Co-authorship network of co-authors of Minfeng Zhu
This figure shows the co-authorship network connecting the top 25 collaborators of Minfeng Zhu. A scholar is included among the top collaborators of Minfeng Zhu 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 Minfeng Zhu. Minfeng Zhu 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 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 16 | |
| 10 | 11 | |
| 11 | 26 | |
| 12 | 9 | |
| 13 | 6 | |
| 14 | 40 | |
| 15 | 33 | |
| 16 | 9 | |
| 17 | 27 | |
| 18 | 44 | |
| 19 | TargetNet: a web service for predicting potential drug–target interaction profiling via multi-target SAR modelsbreakdown → | 316 |
| 20 | 30 |
About Minfeng Zhu
Minfeng Zhu is a scholar working on Transportation, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 48 papers that have together received 2.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Data Visualization and Analytics (9 papers) and Human Mobility and Location-Based Analysis (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (650 citations), Computational Theory and Mathematics (477 citations) and Computer Graphics and Computer-Aided Design (63 citations). Minfeng Zhu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Dongsheng Cao, Yi Yang, Pingbo Pan, Wei Chen, Zhi‐Jiang Yao, Jie Dong, Aiping Lü, Ningning Wang, Nan Xiao and Ming Wen. Their work appears in journals such as Bioinformatics, Scientific Reports and RSC Advances.
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.