Kangning Yang

635 total citations
19 papers, 388 citations indexed

About

Kangning Yang is a scholar working on Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Kangning Yang has authored 19 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Experimental and Cognitive Psychology, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Cognitive Neuroscience. Recurrent topics in Kangning Yang's work include Emotion and Mood Recognition (6 papers), EEG and Brain-Computer Interfaces (3 papers) and Gaze Tracking and Assistive Technology (2 papers). Kangning Yang is often cited by papers focused on Emotion and Mood Recognition (6 papers), EEG and Brain-Computer Interfaces (3 papers) and Gaze Tracking and Assistive Technology (2 papers). Kangning Yang collaborates with scholars based in United States, Australia and China. Kangning Yang's co-authors include Yue Gu, Jorge Gonçalves, Shuhong Chen, Ivan Marsic, Zhanna Sarsenbayeva, Xinyu Li, Tilman Dingler, Chaofan Wang, Greg Wadley and Benjamin Tag and has published in prestigious journals such as Journal of Medical Internet Research, Journal of Medical Systems and Protein & Cell.

In The Last Decade

Kangning Yang

17 papers receiving 375 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kangning Yang United States 9 181 135 70 51 41 19 388
Mahmood Alzubaidi Qatar 15 63 0.3× 153 1.1× 40 0.6× 67 1.3× 13 0.3× 49 696
Dagmar Schuller Germany 8 80 0.4× 101 0.7× 47 0.7× 44 0.9× 103 2.5× 13 296
Θεόδωρος Κωστούλας Greece 11 168 0.9× 87 0.6× 46 0.7× 86 1.7× 71 1.7× 41 475
M. Sazzad Hussain Australia 11 140 0.8× 152 1.1× 26 0.4× 72 1.4× 10 0.2× 20 536
Simone Hantke Germany 15 167 0.9× 253 1.9× 70 1.0× 70 1.4× 249 6.1× 32 553
Agata Kołakowska Poland 9 160 0.9× 70 0.5× 41 0.6× 93 1.8× 30 0.7× 23 328
Jérôme Urbain Belgium 13 174 1.0× 118 0.9× 62 0.9× 70 1.4× 111 2.7× 26 456
Lukas Stappen Germany 12 249 1.4× 261 1.9× 73 1.0× 38 0.7× 117 2.9× 25 516
Abu Raihan Mostofa Kamal Bangladesh 9 100 0.6× 216 1.6× 34 0.5× 19 0.4× 17 0.4× 30 482

Countries citing papers authored by Kangning Yang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Kangning Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Kangning Yang. A scholar is included among the top collaborators of Kangning Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kangning Yang. Kangning Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
2.
Yang, Kangning, Jiaming Ding, Lan Fu, et al.. (2025). Degradation-Aware Image Enhancement via Vision-Language Classification. 270–276. 2 indexed citations
3.
Yang, Kangning, et al.. (2025). Survey on Single-Image Reflection Removal Using Deep Learning Techniques. 20–26. 2 indexed citations
4.
Yang, Kangning, et al.. (2025). OpenRR-5k: A Large-Scale Benchmark for Reflection Removal in the Wild. 14–19. 2 indexed citations
5.
6.
Yang, Kangning, et al.. (2025). OpenRR-1k: A Scalable Dataset for Real-World Reflection Removal. 839–844. 4 indexed citations
7.
Zhang, Yicheng, Kangning Yang, K. Lin, et al.. (2023). Rapidity and momentum distributions of one-dimensional dipolar quantum gases. Physical review. A. 107(6). 13 indexed citations
8.
Wang, Haoyu, Kangning Yang, Le Cai, et al.. (2023). RNF20 is required for male fertility through regulation of H2B ubiquitination in the Sertoli cells. Cell & Bioscience. 13(1). 71–71. 7 indexed citations
9.
Wang, Chaofan, Weiwei Jiang, Kangning Yang, et al.. (2022). A System for Computational Assessment of Hand Hygiene Techniques. Journal of Medical Systems. 46(6). 36–36. 3 indexed citations
10.
Yang, Kangning, Benjamin Tag, Chaofan Wang, et al.. (2022). Survey on Emotion Sensing Using Mobile Devices. IEEE Transactions on Affective Computing. 14(4). 2678–2696. 14 indexed citations
11.
Yang, Kangning, Benjamin Tag, Yue Gu, et al.. (2022). Mobile Emotion Recognition via Multiple Physiological Signals using Convolution-augmented Transformer. 562–570. 19 indexed citations
12.
Wang, Chaofan, Weiwei Jiang, Kangning Yang, et al.. (2021). Electronic Monitoring Systems for Hand Hygiene: Systematic Review of Technology. Journal of Medical Internet Research. 23(11). e27880–e27880. 33 indexed citations
13.
Yang, Kangning, Chaofan Wang, Yue Gu, et al.. (2021). Behavioral and Physiological Signals-Based Deep Multimodal Approach for Mobile Emotion Recognition. IEEE Transactions on Affective Computing. 14(2). 1082–1097. 55 indexed citations
14.
Sarsenbayeva, Zhanna, Niels van Berkel, Chu Luo, et al.. (2020). Does Smartphone Use Drive our Emotions or vice versa? A Causal Analysis. Minerva Access (University of Melbourne). 1–15. 44 indexed citations
15.
Yang, Kangning, Chaofan Wang, Zhanna Sarsenbayeva, et al.. (2020). Benchmarking commercial emotion detection systems using realistic distortions of facial image datasets. The Visual Computer. 37(6). 1447–1466. 39 indexed citations
16.
Gu, Yue, et al.. (2018). Multimodal Affective Analysis Using Hierarchical Attention Strategy with Word-Level Alignment. PubMed. 2018. 2225–2235. 108 indexed citations
17.
Gu, Yue, et al.. (2018). Human Conversation Analysis Using Attentive Multimodal Networks with Hierarchical Encoder-Decoder. PubMed. 2018. 537–545. 29 indexed citations
18.
Gu, Yue, et al.. (2018). Hybrid Attention based Multimodal Network for Spoken Language Classification.. PubMed. 2018. 2379–2390. 8 indexed citations
19.
Zhang, Jinchao, et al.. (2013). Application Status and Prospect of Carbon-Based Nanomaterials in Biomedical Field. Huaxue jinzhan. 25(203). 397. 3 indexed citations

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.

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