Kunxia Wang

579 total citations · 1 hit paper
12 papers, 435 citations indexed

About

Kunxia Wang is a scholar working on Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Kunxia Wang has authored 12 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Experimental and Cognitive Psychology, 7 papers in Computer Vision and Pattern Recognition and 4 papers in Signal Processing. Recurrent topics in Kunxia Wang's work include Emotion and Mood Recognition (8 papers), Speech and Audio Processing (4 papers) and EEG and Brain-Computer Interfaces (3 papers). Kunxia Wang is often cited by papers focused on Emotion and Mood Recognition (8 papers), Speech and Audio Processing (4 papers) and EEG and Brain-Computer Interfaces (3 papers). Kunxia Wang collaborates with scholars based in China, United States and Australia. Kunxia Wang's co-authors include Lian Li, Ning An, Bing Nan Li, Yanyong Zhang, Li Liu, Guoxin Su, Shu Wang, Jian Wang, Yaping He and Takashi Yamauchi and has published in prestigious journals such as IEEE Access, Neurocomputing and Frontiers in Neuroscience.

In The Last Decade

Kunxia Wang

10 papers receiving 413 citations

Hit Papers

Speech Emotion Recognition Using Fourier Parameters 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kunxia Wang China 4 303 242 137 127 59 12 435
Dejan Arsić Germany 12 212 0.7× 228 0.9× 224 1.6× 226 1.8× 32 0.5× 42 476
Monorama Swain India 7 222 0.7× 188 0.8× 79 0.6× 135 1.1× 33 0.6× 15 346
S. Lalitha India 10 225 0.7× 154 0.6× 82 0.6× 168 1.3× 50 0.8× 29 397
Fei Yuan China 5 163 0.5× 170 0.7× 64 0.5× 99 0.8× 38 0.6× 14 315
T. Ehrette France 5 101 0.3× 263 1.1× 135 1.0× 150 1.2× 21 0.4× 7 376
Xiangju Lu China 6 245 0.8× 134 0.6× 363 2.6× 92 0.7× 46 0.8× 11 522
Daeyoung Jang South Korea 6 193 0.6× 231 1.0× 77 0.6× 122 1.0× 54 0.9× 26 351
Zhongtian Bao China 7 315 1.0× 193 0.8× 61 0.4× 178 1.4× 99 1.7× 7 481
Prithviraj Kabisatpathy India 7 193 0.6× 165 0.7× 51 0.4× 107 0.8× 26 0.4× 15 367
Xinzhou Xu China 11 287 0.9× 235 1.0× 115 0.8× 250 2.0× 32 0.5× 34 491

Countries citing papers authored by Kunxia Wang

Since Specialization
Citations

This map shows the geographic impact of Kunxia Wang'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 Kunxia Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunxia Wang more than expected).

Fields of papers citing papers by Kunxia Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kunxia Wang. 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 Kunxia Wang. The network helps show where Kunxia Wang may publish in the future.

Co-authorship network of co-authors of Kunxia Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Kunxia Wang. A scholar is included among the top collaborators of Kunxia Wang 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 Kunxia Wang. Kunxia Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Wang, Kunxia, et al.. (2025). A lightweight MobileViT with Linear Differential Attention for Micro-expression recognition. Signal Image and Video Processing. 19(10).
2.
Wang, Kunxia, et al.. (2024). MVT-CEAM: a lightweight MobileViT with channel expansion and attention mechanism for facial expression recognition. Signal Image and Video Processing. 18(10). 6853–6865. 3 indexed citations
3.
Wang, Kunxia, et al.. (2024). Face Expression Recognition With Vision Transformer and Local Mutual Information Maximization. IEEE Access. 12. 169263–169276. 3 indexed citations
4.
Wang, Kunxia, et al.. (2023). Video elicited physiological signal dataset considering indoor temperature factors. Frontiers in Neuroscience. 17. 1180407–1180407. 1 indexed citations
5.
Wang, Kunxia, et al.. (2023). Mutual Information Maximization for Facial Expression Recognition in Images. 378–381. 1 indexed citations
6.
Wang, Kunxia, et al.. (2022). The Efficient-CapsNet model for facial expression recognition. Applied Intelligence. 53(13). 16367–16380. 6 indexed citations
8.
Wang, Kunxia, Guoxin Su, Li Liu, & Shu Wang. (2020). Wavelet packet analysis for speaker-independent emotion recognition. Neurocomputing. 398. 257–264. 68 indexed citations
9.
Wang, Kunxia, et al.. (2018). Speech emotion recognition of Chinese elderly people. 16(3). 149–157. 3 indexed citations
10.
Wang, Jian, et al.. (2017). Video smoke detection using shape, color and dynamic features. Journal of Intelligent & Fuzzy Systems. 33(1). 305–313. 32 indexed citations
11.
Gao, Fei, Xiao Sun, Kunxia Wang, & Fuji Ren. (2016). Chinese micro-blog sentiment analysis based on semantic features and PAD model. 24. 1–5. 3 indexed citations
12.
Wang, Kunxia, Ning An, Bing Nan Li, Yanyong Zhang, & Lian Li. (2015). Speech Emotion Recognition Using Fourier Parameters. IEEE Transactions on Affective Computing. 6(1). 69–75. 315 indexed citations breakdown →

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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