Kangning Yang
Impact in
-
- Emotion and Mood Recognition
-
- Digital Mental Health Interventions
Papers in
-
- Emotion and Mood Recognition 6
-
- Image Enhancement Techniques 2
- Co-authors
- Yue Gu (6 shared papers)Jorge Gonçalves (8 shared papers)Zhanna Sarsenbayeva (7 shared papers)Shuhong Chen (3 shared papers)Xinyu Li (3 shared papers)Ivan Marsic (3 shared papers)Chaofan Wang (7 shared papers)Tilman Dingler (6 shared papers)
- Journals
- IEEE Transactions on Affective Computing (2 papers)Journal of Medical Internet Research (1 paper)Physical review. A (1 paper)The Visual Computer (1 paper)Protein & Cell (1 paper)
- Partner nations
- United StatesAustraliaChina
In The Last Decade
Kangning Yang
19 papers receiving 421 citations
Peers
Comparison fields: 5 of 94
- Experimental and Cognitive Psychology 196
- Applied Psychology 29
- Human-Computer Interaction 28
- General Dentistry 6
- Artificial Intelligence 143
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 | 115 | |
| 2 | 2021 | 62 | |
| 3 | 2020 | 48 | |
| 4 | 2020 | 41 | |
| 5 | 2021 | 37 | |
| 6 | 2018 | 30 | |
| 7 | 2022 | 23 | |
| 8 | 2022 | 17 | |
| 9 | 2023 | 15 | |
| 10 | Hybrid Attention based Multimodal Network for Spoken Language Classification. | 2018 | 10 |
| 11 | 2025 | 8 | |
| 12 | 2023 | 8 | |
| 13 | 2022 | 5 | |
| 14 | 2025 | 4 | |
| 15 | 2013 | 3 | |
| 16 | 2025 | 2 | |
| 17 | 2025 | 2 | |
| 18 | 2025 | 2 | |
| 19 | 2025 | 1 | |
| 20 | 2022 | 1 |
About Kangning Yang
Kangning Yang is a scholar working on Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition, Infectious Diseases, Cognitive Neuroscience and Artificial Intelligence, having authored 20 papers that have together received 434 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (6 papers), Infection Control in Healthcare (3 papers), EEG and Brain-Computer Interfaces (3 papers), Infection Control and Ventilation (2 papers), Image Enhancement Techniques (2 papers), Sentiment Analysis and Opinion Mining (2 papers), Speech Recognition and Synthesis (2 papers) and Gaze Tracking and Assistive Technology (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (196 citations), Applied Psychology (29 citations), Human-Computer Interaction (28 citations), General Dentistry (6 citations) and Artificial Intelligence (143 citations). Kangning Yang has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Yue Gu, Jorge Gonçalves, Zhanna Sarsenbayeva, Shuhong Chen, Xinyu Li, Ivan Marsic, Chaofan Wang, Tilman Dingler, Greg Wadley and Benjamin Tag. Their work appears in journals such as IEEE Transactions on Affective Computing, Journal of Medical Internet Research, Physical review. A, The Visual Computer and Protein & Cell.
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.