Yang Zhang
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- Advanced Neural Network Applications 24
- Advanced Image and Video Retrieval Techniques 15
- Video Surveillance and Tracking Methods 10
- Face recognition and analysis 9
- Geology top 5%
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- Infrastructure Maintenance and Monitoring 14
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- Industrial Vision Systems and Defect Detection 9
- Artificial Intelligence top 2%
- Domain Adaptation and Few-Shot Learning 9
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- Welding Techniques and Residual Stresses 10
- Co-authors
- Ka‐Veng YuenSamuel MaddenCarlo CurinoEvan P. C. JonesXuefeng ZhaoKurt KeutzerAlberto Sangiovanni‐VincentelliSicheng Zhao
- Journals
- IEEE Transactions on Industrial Electronics (1 paper)Expert Systems with Applications (1 paper)IEEE Access (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yang Zhang
110 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Computer Vision and Pattern Recognition 695
- Geology 116
- Civil and Structural Engineering 451
- Industrial and Manufacturing Engineering 175
- Artificial Intelligence 534
Countries citing papers authored by Yang Zhang
This map shows the geographic impact of Yang 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 Yang Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Zhang more than expected).
Fields of papers citing papers by Yang Zhang
This network shows the impact of papers produced by Yang 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 Yang Zhang. The network helps show where Yang Zhang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yang 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 6 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 2 | |
| 11 | 2024 | 0 | |
| 12 | 2024 | 1 | |
| 13 | 2023 | 7 | |
| 14 | 2023 | 8 | |
| 15 | 2023 | 3 | |
| 16 | 2023 | 23 | |
| 17 | 2022 | 19 | |
| 18 | 2021 | 15 | |
| 19 | AntMan: Dynamic Scaling on GPU Clusters for Deep Learning. | 2020 | 22 |
| 20 | A method for image segmentation and recognition of spider mites based on K-means clustering algorithm. | 2015 | 2 |
About Yang Zhang
Yang Zhang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 126 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (24 papers), Advanced Image and Video Retrieval Techniques (15 papers), Infrastructure Maintenance and Monitoring (14 papers), Video Surveillance and Tracking Methods (10 papers), Welding Techniques and Residual Stresses (10 papers), Face recognition and analysis (9 papers), Domain Adaptation and Few-Shot Learning (9 papers) and Industrial Vision Systems and Defect Detection (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (695 citations), Geology (116 citations) and Civil and Structural Engineering (451 citations). Yang Zhang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ka‐Veng Yuen, Samuel Madden, Carlo Curino, Evan P. C. Jones, Xuefeng Zhao, Kurt Keutzer, Alberto Sangiovanni‐Vincentelli, Sicheng Zhao, Xiangyu Yue and Boqing Gong. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Expert Systems with Applications and IEEE Access.
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.