Yu Zhang
Impact in
- Artificial Intelligence top 0.1%
- Domain Adaptation and Few-Shot Learning
- Topic Modeling
- Machine Learning and ELM
- Sentiment Analysis and Opinion Mining
- Text and Document Classification Technologies
- Natural Language Processing Techniques
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- Face and Expression Recognition
- Face recognition and analysis
Papers in
-
- Domain Adaptation and Few-Shot Learning 38
- Topic Modeling 35
- Natural Language Processing Techniques 23
- Machine Learning and ELM 22
- Speech Recognition and Synthesis 22
- Quantum Information and Cryptography 20
Yu Zhang
267 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 201
- Artificial Intelligence 4.1k
- Computer Vision and Pattern Recognition 1.9k
- Computational Mathematics 43
- Signal Processing 516
- Health Informatics 61
Countries citing papers authored by Yu Zhang
This map shows the geographic impact of Yu 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 Yu Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Zhang more than expected).
Fields of papers citing papers by Yu Zhang
This network shows the impact of papers produced by Yu 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 Yu Zhang. The network helps show where Yu Zhang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu 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 | 4 | |
| 2 | 2024 | 11 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 27 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 5 | |
| 12 | 2023 | 7 | |
| 13 | 2022 | 13 | |
| 14 | 2022 | 4 | |
| 15 | 2022 | 27 | |
| 16 | 2021 | 31 | |
| 17 | 2018 | 52 | |
| 18 | 2016 | 29 | |
| 19 | 2010 | 32 | |
| 20 | A Preliminary Research of Chinese Emotion Classification Model | 2006 | 9 |
About Yu Zhang
Yu Zhang is a scholar working on Artificial Intelligence, Computational Mathematics, Computer Vision and Pattern Recognition, Signal Processing and Industrial and Manufacturing Engineering, having authored 287 papers that have together received 7.6k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (38 papers), Topic Modeling (35 papers), Face and Expression Recognition (26 papers), Natural Language Processing Techniques (23 papers), Sparse and Compressive Sensing Techniques (23 papers), Machine Learning and ELM (22 papers), Speech Recognition and Synthesis (22 papers) and Quantum Information and Cryptography (20 papers). The work is most often cited by research in Artificial Intelligence (4.1k citations), Computer Vision and Pattern Recognition (1.9k citations), Computational Mathematics (43 citations), Signal Processing (516 citations) and Health Informatics (61 citations). Yu Zhang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Qiang Yang, Dit‐Yan Yeung, Ying Wei, Wenfeng Li, MengChu Zhou, Sinno Jialin Pan, Yulian Cao, Lei Han, Zhang Han and W. Art Chaovalitwongse. Their work appears in journals such as Physical review. A, IEEE Transactions on Knowledge and Data Engineering, Frontiers of Physics, Neurocomputing 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.