Hai Yang
Impact in
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- Emotion and Mood Recognition
- Nuclear Energy and Engineering top 10%
Papers in
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- Domain Adaptation and Few-Shot Learning 11
- Machine Learning and ELM 6
- AI in cancer detection 5
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- Multimodal Machine Learning Applications 6
- Co-authors
- Zhe Wang (36 shared papers)Dongdong Li (25 shared papers)Wenli Du (12 shared papers)Rui Chen (3 shared papers)Wim J. van Ooij (2 shared papers)Li Xie (1 shared paper)Xinlei Xu (6 shared papers)Zhiyong Zhao (6 shared papers)
- Journals
- IEEE Transactions on Neural Networks and Learning Systems (4 papers)IEEE Transactions on Geoscience and Remote Sensing (4 papers)Journal of Visual Communication and Image Representation (3 papers)Knowledge-Based Systems (3 papers)Expert Systems with Applications (3 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Hai Yang
112 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 149
- Experimental and Cognitive Psychology 168
- Nuclear Energy and Engineering 6
- Cognitive Neuroscience 187
- Computer Vision and Pattern Recognition 185
- Human-Computer Interaction 45
Countries citing papers authored by Hai Yang
This map shows the geographic impact of Hai Yang'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 Hai Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai Yang more than expected).
Fields of papers citing papers by Hai Yang
This network shows the impact of papers produced by Hai Yang. 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 Hai Yang. The network helps show where Hai Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hai Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 97 | |
| 2 | 2018 | 82 | |
| 3 | 2022 | 78 | |
| 4 | 2021 | 45 | |
| 5 | 2015 | 43 | |
| 6 | 2023 | 43 | |
| 7 | 2021 | 40 | |
| 8 | 2021 | 36 | |
| 9 | 2018 | 35 | |
| 10 | 2012 | 33 | |
| 11 | 2004 | 33 | |
| 12 | 2021 | 31 | |
| 13 | 2011 | 30 | |
| 14 | 2023 | 30 | |
| 15 | 2022 | 24 | |
| 16 | 2022 | 24 | |
| 17 | 2021 | 24 | |
| 18 | 2022 | 23 | |
| 19 | 2000 | 21 | |
| 20 | 2023 | 19 |
About Hai Yang
Hai Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering, having authored 120 papers that have together received 1.4k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (11 papers), EEG and Brain-Computer Interfaces (9 papers), Emotion and Mood Recognition (7 papers), Underwater Vehicles and Communication Systems (6 papers), Machine Learning and ELM (6 papers), Multimodal Machine Learning Applications (6 papers), Infrared Target Detection Methodologies (5 papers) and AI in cancer detection (5 papers). The work is most often cited by research in Experimental and Cognitive Psychology (168 citations), Nuclear Energy and Engineering (6 citations), Cognitive Neuroscience (187 citations), Computer Vision and Pattern Recognition (185 citations) and Human-Computer Interaction (45 citations). Hai Yang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Zhe Wang, Dongdong Li, Wenli Du, Rui Chen, Wim J. van Ooij, Li Xie, Xinlei Xu, Zhiyong Zhao, Xinli Mao and Kassoum Nacro. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Geoscience and Remote Sensing, Journal of Visual Communication and Image Representation, Knowledge-Based Systems and Expert Systems with Applications.
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.