Ercheng Pei
Impact in
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- Emotion and Mood Recognition
- Mental Health Research Topics
- Applied Psychology top 5%
- Digital Mental Health Interventions
Papers in
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- Emotion and Mood Recognition 15
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- Face recognition and analysis 4
- Face and Expression Recognition 3
- Human Pose and Action Recognition 2
- Co-authors
- Hichem Sahli (14 shared papers)Dongmei Jiang (15 shared papers)Le Yang (6 shared papers)Meshia Cédric Oveneke (8 shared papers)Lang He (9 shared papers)Yong Zhao (4 shared papers)Hailong Ning (3 shared papers)Zhanxuan Hu (3 shared papers)
In The Last Decade
Ercheng Pei
20 papers receiving 485 citations
Peers
Comparison fields: 5 of 66
- Experimental and Cognitive Psychology 350
- Applied Psychology 69
- Social Psychology 191
- Signal Processing 84
- Artificial Intelligence 175
Countries citing papers authored by Ercheng Pei
This map shows the geographic impact of Ercheng Pei'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 Ercheng Pei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ercheng Pei more than expected).
Fields of papers citing papers by Ercheng Pei
This network shows the impact of papers produced by Ercheng Pei. 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 Ercheng Pei. The network helps show where Ercheng Pei may publish in the future.
Co-authors
The 20 scholars most cited alongside Ercheng Pei, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 119 | |
| 2 | 2016 | 106 | |
| 3 | 2015 | 99 | |
| 4 | 2017 | 70 | |
| 5 | 2015 | 20 | |
| 6 | 2014 | 13 | |
| 7 | 2022 | 12 | |
| 8 | 2019 | 12 | |
| 9 | 2020 | 11 | |
| 10 | 2019 | 10 | |
| 11 | 2023 | 6 | |
| 12 | 2019 | 5 | |
| 13 | 2021 | 5 | |
| 14 | 2016 | 5 | |
| 15 | 2022 | 4 | |
| 16 | 2023 | 4 | |
| 17 | 2025 | 3 | |
| 18 | 2020 | 3 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 1 |
About Ercheng Pei
Ercheng Pei is a scholar working on Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition, Social Psychology, Signal Processing and Artificial Intelligence, having authored 22 papers that have together received 509 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (15 papers), Speech and Audio Processing (5 papers), Color perception and design (4 papers), Mental Health via Writing (4 papers), Sentiment Analysis and Opinion Mining (4 papers), Face recognition and analysis (4 papers), Face and Expression Recognition (3 papers) and Human Pose and Action Recognition (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (350 citations), Applied Psychology (69 citations), Social Psychology (191 citations), Signal Processing (84 citations) and Artificial Intelligence (175 citations). Ercheng Pei has collaborated with scholars based in China, Belgium and Sweden. Frequent co-authors include Hichem Sahli, Dongmei Jiang, Le Yang, Meshia Cédric Oveneke, Lang He, Yong Zhao, Hailong Ning, Zhanxuan Hu, Lei Xie and Yujun Wang. Their work appears in journals such as Information Fusion, Knowledge-Based Systems, IEEE Transactions on Multimedia, IET Intelligent Transport Systems and Multimedia Tools and 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.