Zhenyue Zhang
- Computer Vision and Pattern Recognition top 0.5%
- Mechanical Engineering top 2%
- Artificial Intelligence top 2%
- Water Science and Technology top 2%
- Geochemistry and Petrology top 1%
- Topics
- Extraction and Separation Processes (41 papers)Geochemistry and Elemental Analysis (29 papers)Matrix Theory and Algorithms (21 papers)
- Journals
- Journal of the American Statistical AssociationIEEE Transactions on Pattern Analysis and Machine IntelligenceJournal of Power Sources
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Zhenyue Zhang
126 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Computer Vision and Pattern Recognition 1.3k
- Mechanical Engineering 980
- Artificial Intelligence 692
- Water Science and Technology 620
- Geochemistry and Petrology 475
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 of co-authors of Zhenyue Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Zhenyue Zhang. A scholar is included among the top collaborators of Zhenyue 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 Zhenyue Zhang. Zhenyue 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 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 5 | |
| 10 | 0 | |
| 11 | 17 | |
| 12 | 4 | |
| 13 | 4 | |
| 14 | 6 | |
| 15 | 1 | |
| 16 | 13 | |
| 17 | 21 | |
| 18 | A Domain Decomposition Method for Fast Manifold Learning | 4 |
| 19 | Adaptive Manifold Learning | 50 |
| 20 | Isometric embedding and continuum ISOMAP | 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) and Matrix Theory and Algorithms (21 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.