Lang He
Impact in
-
- Emotion and Mood Recognition
- Mental Health Research Topics
- Applied Psychology top 2%
- Digital Mental Health Interventions
Papers in
-
- Emotion and Mood Recognition 26
- Mental Health Research Topics 4
- Co-authors
- Dongmei Jiang (9 shared papers)Hichem Sahli (4 shared papers)Zhongmin Wang (5 shared papers)Ercheng Pei (9 shared papers)Jonathan Cheung-Wai Chan (1 shared paper)Le Yang (2 shared papers)Prayag Tiwari (8 shared papers)Mingyue Niu (3 shared papers)
- Journals
- Biomedical Signal Processing and Control (4 papers)Information Fusion (4 papers)IEEE Internet of Things Journal (3 papers)Applied Intelligence (2 papers)Neurocomputing (2 papers)
- Partner nations
- ChinaBelgiumUnited States
In The Last Decade
Lang He
49 papers receiving 1.1k citations
Lang He's Hit Papers
Peers
Comparison fields: 5 of 96
- Experimental and Cognitive Psychology 663
- Applied Psychology 172
- Social Psychology 327
- Cognitive Neuroscience 223
- Computer Vision and Pattern Recognition 215
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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 167 | |
| 2 | Deep learning for depression recognition with audiovisual cues: A review Hit paper breakdown → | 2021 | 151 |
| 3 | 2020 | 116 | |
| 4 | 2016 | 106 | |
| 5 | 2015 | 99 | |
| 6 | 2018 | 75 | |
| 7 | 2021 | 49 | |
| 8 | 2018 | 42 | |
| 9 | 2015 | 40 | |
| 10 | 2022 | 29 | |
| 11 | 2021 | 27 | |
| 12 | 2022 | 26 | |
| 13 | 2018 | 24 | |
| 14 | 2022 | 18 | |
| 15 | 2019 | 18 | |
| 16 | 2018 | 15 | |
| 17 | 2022 | 12 | |
| 18 | 2021 | 12 | |
| 19 | 2024 | 12 | |
| 20 | 2024 | 11 |
About Lang He
Lang He is a scholar working on Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition, Social Psychology, Artificial Intelligence and Cognitive Neuroscience, having authored 53 papers that have together received 1.2k indexed citations. Recurring topics across this work include Emotion and Mood Recognition (26 papers), Mental Health via Writing (11 papers), EEG and Brain-Computer Interfaces (8 papers), Functional Brain Connectivity Studies (6 papers), Digital Mental Health Interventions (6 papers), Anomaly Detection Techniques and Applications (4 papers), Mental Health Research Topics (4 papers) and Robotics and Sensor-Based Localization (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (663 citations), Applied Psychology (172 citations), Social Psychology (327 citations), Cognitive Neuroscience (223 citations) and Computer Vision and Pattern Recognition (215 citations). Lang He has collaborated with scholars based in China, Belgium and United States. Frequent co-authors include Dongmei Jiang, Hichem Sahli, Zhongmin Wang, Ercheng Pei, Jonathan Cheung-Wai Chan, Le Yang, Prayag Tiwari, Mingyue Niu, Rui Su and Chenguang Guo. Their work appears in journals such as Biomedical Signal Processing and Control, Information Fusion, IEEE Internet of Things Journal, Applied Intelligence and Neurocomputing.
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.