Lang He
Impact in
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- Emotion and Mood Recognition
Papers in
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- Emotion and Mood Recognition 33
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- Visual Attention and Saliency Detection 2
- Image Enhancement Techniques 2
- Co-authors
- Dongmei Jiang (11 shared papers)Hichem Sahli B (4 shared papers)Zhongmin Wang (8 shared papers)Ercheng Pei (11 shared papers)Jonathan Cheung-Wai Chan (1 shared paper)Le Yang (2 shared papers)Prayag Tiwari (9 shared papers)Mingyue Niu (2 shared papers)
In The Last Decade
Lang He
51 papers receiving 1.3k citations
Lang He's Hit Papers
Peers
Comparison fields: 5 of 79
- Experimental and Cognitive Psychology 900
- Health Informatics 13
- Computer Vision and Pattern Recognition 122
- Social Psychology 113
- Health Information Management 43
Countries citing papers authored by Lang He
This map shows the geographic impact of Lang He'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 Lang He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lang He more than expected).
Fields of papers citing papers by Lang He
This network shows the impact of papers produced by Lang He. 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 Lang He. The network helps show where Lang He may publish in the future.
Co-authors
The 25 scholars most cited alongside Lang He, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 193 | |
| 2 | Deep learning for depression recognition with audiovisual cues: A review Hit paper breakdown → | 2021 | 184 |
| 3 | 2020 | 133 | |
| 4 | 2016 | 122 | |
| 5 | 2015 | 121 | |
| 6 | 2018 | 85 | |
| 7 | 2021 | 53 | |
| 8 | 2015 | 43 | |
| 9 | 2018 | 42 | |
| 10 | 2022 | 37 | |
| 11 | 2021 | 31 | |
| 12 | 2022 | 31 | |
| 13 | 2019 | 22 | |
| 14 | 2022 | 22 | |
| 15 | 2024 | 22 | |
| 16 | 2024 | 19 | |
| 17 | 2025 | 17 | |
| 18 | 2024 | 16 | |
| 19 | 2018 | 15 | |
| 20 | 2018 | 14 |
About Lang He
Lang He is a scholar working on Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Artificial Intelligence and Aerospace Engineering, having authored 59 papers that have together received 1.4k indexed citations. Recurring topics across this work include Emotion and Mood Recognition (33 papers), EEG and Brain-Computer Interfaces (4 papers), Inertial Sensor and Navigation (3 papers), Aerospace Engineering and Control Systems (3 papers), Visual Attention and Saliency Detection (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Image Enhancement Techniques (2 papers) and Advanced Clustering Algorithms Research (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (900 citations), Health Informatics (13 citations), Computer Vision and Pattern Recognition (122 citations), Social Psychology (113 citations) and Health Information Management (43 citations). Lang He has collaborated with scholars based in China, Belgium and Sweden. Frequent co-authors include Dongmei Jiang, Hichem Sahli B, Zhongmin Wang, Ercheng Pei, Jonathan Cheung-Wai Chan, Le Yang, Prayag Tiwari, Mingyue Niu, Rui Su and Wei Dang. Their work appears in journals such as Information Fusion, Expert Systems with Applications, Biomedical Signal Processing and Control, IEEE Internet of Things Journal and Applied Intelligence.
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.