Kangning Yang
Impact in
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- Emotion and Mood Recognition
- General Dentistry top 10%
Papers in
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- Emotion and Mood Recognition 6
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- Image Enhancement Techniques 2
- Co-authors
- Yue Gu (6 shared papers)Jorge Gonçalves (7 shared papers)Ivan Marsic (3 shared papers)Xinyu Li (3 shared papers)Shuhong Chen (3 shared papers)Zhanna Sarsenbayeva (6 shared papers)Tilman Dingler (6 shared papers)Chaofan Wang (6 shared papers)
- Journals
- IEEE Transactions on Affective Computing (2 papers)Protein & Cell (1 paper)The Visual Computer (1 paper)New Biotechnology (1 paper)Journal of Medical Systems (1 paper)
- Partner nations
- United StatesAustraliaChina
In The Last Decade
Kangning Yang
17 papers receiving 375 citations
Peers
Comparison fields: 5 of 97
- Experimental and Cognitive Psychology 181
- General Dentistry 11
- Applied Psychology 28
- Human-Computer Interaction 25
- Artificial Intelligence 135
Countries citing papers authored by Kangning Yang
This map shows the geographic impact of Kangning 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 Kangning Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kangning Yang more than expected).
Fields of papers citing papers by Kangning Yang
This network shows the impact of papers produced by Kangning 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 Kangning Yang. The network helps show where Kangning Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kangning 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
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 108 | |
| 2 | 2021 | 55 | |
| 3 | 2020 | 44 | |
| 4 | 2020 | 39 | |
| 5 | 2021 | 33 | |
| 6 | 2018 | 29 | |
| 7 | 2022 | 19 | |
| 8 | 2022 | 14 | |
| 9 | 2023 | 13 | |
| 10 | Hybrid Attention based Multimodal Network for Spoken Language Classification. | 2018 | 8 |
| 11 | 2023 | 7 | |
| 12 | 2025 | 4 | |
| 13 | 2025 | 3 | |
| 14 | 2013 | 3 | |
| 15 | 2022 | 3 | |
| 16 | 2025 | 2 | |
| 17 | 2025 | 2 | |
| 18 | 2025 | 2 | |
| 19 | 2025 | 0 |
About Kangning Yang
Kangning Yang is a scholar working on Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Artificial Intelligence and Infectious Diseases, having authored 19 papers that have together received 388 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (6 papers), EEG and Brain-Computer Interfaces (3 papers), Infection Control and Ventilation (2 papers), Gaze Tracking and Assistive Technology (2 papers), Infection Control in Healthcare (2 papers), Sentiment Analysis and Opinion Mining (2 papers), Speech Recognition and Synthesis (2 papers) and Image Enhancement Techniques (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (181 citations), General Dentistry (11 citations), Applied Psychology (28 citations), Human-Computer Interaction (25 citations) and Artificial Intelligence (135 citations). Kangning Yang has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Yue Gu, Jorge Gonçalves, Ivan Marsic, Xinyu Li, Shuhong Chen, Zhanna Sarsenbayeva, Tilman Dingler, Chaofan Wang, Greg Wadley and Benjamin Tag. Their work appears in journals such as IEEE Transactions on Affective Computing, Protein & Cell, The Visual Computer, New Biotechnology and Journal of Medical Systems.
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.