Zhenyue Zhang
- Computational Mathematics top 2%
- Geochemistry and Petrology top 1%
- Geochemistry and Elemental Analysis 29
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- Face and Expression Recognition 15
- Water Science and Technology top 2%
- Minerals Flotation and Separation Techniques 19
- Media Technology top 1%
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- Extraction and Separation Processes 41
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- Matrix Theory and Algorithms 21
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- Sparse and Compressive Sensing Techniques 18
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- Radioactive element chemistry and processing 16
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- Metal Extraction and Bioleaching 12
Zhenyue Zhang
126 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Computational Mathematics 51
- Geochemistry and Petrology 475
- Computer Vision and Pattern Recognition 1.3k
- Water Science and Technology 620
- Media Technology 280
Countries citing papers authored by Zhenyue Zhang
This map shows the geographic impact of Zhenyue 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 Zhenyue Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhenyue Zhang more than expected).
Fields of papers citing papers by Zhenyue Zhang
This network shows the impact of papers produced by Zhenyue 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 Zhenyue Zhang. The network helps show where Zhenyue Zhang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhenyue Zhang, 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 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 0 | |
| 7 | 2025 | 1 | |
| 8 | 2025 | 0 | |
| 9 | 2024 | 5 | |
| 10 | 2024 | 0 | |
| 11 | 2024 | 17 | |
| 12 | 2024 | 4 | |
| 13 | 2023 | 4 | |
| 14 | 2023 | 6 | |
| 15 | 2023 | 1 | |
| 16 | 2020 | 13 | |
| 17 | 2019 | 21 | |
| 18 | A Domain Decomposition Method for Fast Manifold Learning | 2005 | 4 |
| 19 | Adaptive Manifold Learning | 2004 | 50 |
| 20 | Isometric embedding and continuum ISOMAP | 2003 | 41 |
About Zhenyue Zhang
Zhenyue Zhang is a scholar working on Geochemistry and Petrology, Computational Mathematics and Numerical Analysis, having authored 141 papers that have together received 3.7k indexed citations. Recurring topics across this work include Extraction and Separation Processes (41 papers), Geochemistry and Elemental Analysis (29 papers), Matrix Theory and Algorithms (21 papers), Minerals Flotation and Separation Techniques (19 papers), Sparse and Compressive Sensing Techniques (18 papers), Radioactive element chemistry and processing (16 papers), Face and Expression Recognition (15 papers) and Metal Extraction and Bioleaching (12 papers). The work is most often cited by research in Computational Mathematics (51 citations), Geochemistry and Petrology (475 citations) and Computer Vision and Pattern Recognition (1.3k citations). Zhenyue Zhang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hongyuan Zha, Ruan Chi, Zhengyan He, Junxia Yu, Jing Wang, Zhigao Xu, Longhua Xu, Shuai Fang, Houqin Wu and Limin Li. Their work appears in journals such as Journal of the American Statistical Association, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Power Sources.
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.