Minfeng Zhu
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- Data Visualization and Analytics 9
- Multimodal Machine Learning Applications 3
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- Computational Drug Discovery Methods 10
- Transportation top 5%
- Human Mobility and Location-Based Analysis 9
- Pharmacology top 5%
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- Data Management and Algorithms 5
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- Analytical Chemistry and Chromatography 4
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- Machine Learning in Bioinformatics 3
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- Data-Driven Disease Surveillance 3
- Co-authors
- Dongsheng CaoYi YangPingbo PanWei ChenZhi‐Jiang YaoJie DongAiping LüNingning Wang
- Cited by
- Computer Vision and Pattern RecognitionComputational Theory and MathematicsComputer Graphics and Computer-Aided Design
- Journals
- IEEE Transactions on Visualization and Computer Graphics (9 papers)Computers & Graphics (3 papers)Journal of Chemometrics (2 papers)
- 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
- Computational Theory and Mathematics 477
- Computer Graphics and Computer-Aided Design 63
- Transportation 110
- Pharmacology 107
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
The 25 scholars most cited alongside Minfeng Zhu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 7 | |
| 9 | 2021 | 16 | |
| 10 | 2021 | 11 | |
| 11 | 2020 | 26 | |
| 12 | 2019 | 9 | |
| 13 | 2019 | 6 | |
| 14 | 2019 | 40 | |
| 15 | 2018 | 33 | |
| 16 | 2017 | 9 | |
| 17 | 2017 | 27 | |
| 18 | 2016 | 44 | |
| 19 | TargetNet: a web service for predicting potential drug–target interaction profiling via multi-target SAR modelsbreakdown → | 2016 | 316 |
| 20 | 2015 | 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), Human Mobility and Location-Based Analysis (9 papers), Data Management and Algorithms (5 papers), Analytical Chemistry and Chromatography (4 papers), Machine Learning in Bioinformatics (3 papers), Multimodal Machine Learning Applications (3 papers) and Data-Driven Disease Surveillance (3 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 IEEE Transactions on Visualization and Computer Graphics, Computers & Graphics, Journal of Chemometrics, Chemometrics and Intelligent Laboratory Systems and IEEE Transactions on Computational Social Systems.
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.