Kun Qian

3.4k total citations
149 papers, 2.0k citations indexed

About

Kun Qian is a scholar working on Signal Processing, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Kun Qian has authored 149 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Signal Processing, 32 papers in Pulmonary and Respiratory Medicine and 29 papers in Artificial Intelligence. Recurrent topics in Kun Qian's work include Phonocardiography and Auscultation Techniques (31 papers), Music and Audio Processing (30 papers) and Speech and Audio Processing (25 papers). Kun Qian is often cited by papers focused on Phonocardiography and Auscultation Techniques (31 papers), Music and Audio Processing (30 papers) and Speech and Audio Processing (25 papers). Kun Qian collaborates with scholars based in China, United Kingdom and Japan. Kun Qian's co-authors include Björn W. Schuller, Yoshiharu Yamamoto, Zixing Zhang, Bin Hu, Zhao Ren, Vedhas Pandit, Christoph Janott, Alice Baird, Liang Zhang and Yasushi Shibuta and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and The Journal of the Acoustical Society of America.

In The Last Decade

Kun Qian

136 papers receiving 2.0k citations

Peers

Kun Qian

PRM

ECP

G. Castellanos-Domínguez Colombia

Luay Fraiwan Jordan

Miad Faezipour United States

Shaikh Anowarul Fattah Bangladesh

Ying-Hui Lai Taiwan

Goutam Saha India

Zhao Ren Germany

M. Hariharan Malaysia

Rajesh Kumar Tripathy India

Manuel Blanco–Velasco Spain

G. Castellanos-Domínguez Colombia

Kun Qian

490 ×0.9

232 ×0.5

PRM

471 ×1.2

481 ×2.1

118 ×0.5

ECP

Citations per year, relative to Kun Qian Kun Qian (= 1×) peers G. Castellanos-Domínguez

Countries citing papers authored by Kun Qian

Since Specialization

Citations

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

Fields of papers citing papers by Kun Qian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Qian

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Shen, Jian, Yanan Zhang, Wenbo Hu, et al.. (2025). MF$^{2}$-Net: Exploring a Meta-Fuzzy Multimodal Fusion Network for Depression Recognition. IEEE Transactions on Fuzzy Systems. 33(9). 2924–2936. 2 indexed citations

Tian, Fuze, Jingyu Liu, Mingqi Zhao, et al.. (2025). An Onboard Executable Multitask Network Model for Bioradar-Based ECG Signal Reconstruction Using High-Fidelity DHD Signals. IEEE Transactions on Instrumentation and Measurement. 74. 1–20. 1 indexed citations

Qian, Kun, et al.. (2025). Enhancing Emotion Regulation in Mental Disorder Treatment: An AIGC-Based Closed-Loop Music Intervention System. IEEE Transactions on Affective Computing. 16(3). 2245–2260. 9 indexed citations

Zhang, Chengquan, et al.. (2024). Environmental Awareness and Social Sustainability: Insights from an Agent-Based Model with Social Learning and Individual Heterogeneity. Sustainability. 16(17). 7853–7853. 2 indexed citations

Qian, Kun, et al.. (2024). Multi-colour sketch-based image retrieval with an explicable feature embedding. Engineering Applications of Artificial Intelligence. 135. 108757–108757. 1 indexed citations

Luo, Gang, Shuting Sun, Xuesong Liu, et al.. (2024). IMGWOFS: A Feature Selector With Trade-Off Between Conflict Objectives for EEG-Based Emotion Recognition. IEEE Transactions on Affective Computing. 16(2). 598–610. 3 indexed citations

Ren, Zhao, et al.. (2024). A Comprehensive Survey on Heart Sound Analysis in the Deep Learning Era. IEEE Computational Intelligence Magazine. 19(3). 42–57. 20 indexed citations

Qian, Kun, Yuanyuan Wang, Peter Jung, Yilei Shi, & Xiao Xiang Zhu. (2024). HyperLISTA-ABT: An Ultralight Unfolded Network for Accurate Multicomponent Differential Tomographic SAR Inversion. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–15. 2 indexed citations

Xu, Xiangmin, et al.. (2024). A Review of AIoT-Based Human Activity Recognition: From Application to Technique. IEEE Journal of Biomedical and Health Informatics. 29(4). 2425–2438. 17 indexed citations

10.

Zhang, Junguo, et al.. (2024). Automatic Bird Sound Source Separation Based on Passive Acoustic Devices in Wild Environment. IEEE Internet of Things Journal. 11(9). 16604–16617. 7 indexed citations

11.

Qian, Kun, et al.. (2024). A First Look at Generative Artificial Intelligence-Based Music Therapy for Mental Disorders. IEEE Transactions on Consumer Electronics. 71(3). 7439–7453. 12 indexed citations

12.

Qian, Kun, et al.. (2023). Exploring interpretable representations for heart sound abnormality detection. Biomedical Signal Processing and Control. 82. 104569–104569. 20 indexed citations

13.

Shen, Jian, Huajian Liang, Kexin Zhu, et al.. (2023). Depression Recognition From EEG Signals Using an Adaptive Channel Fusion Method via Improved Focal Loss. IEEE Journal of Biomedical and Health Informatics. 27(7). 3234–3245. 50 indexed citations

14.

Xu, Kele, et al.. (2023). Automatic Audio Augmentation for Requests Sub-Challenge. 9482–9486. 2 indexed citations

15.

Qian, Kun, et al.. (2023). Analysis of appearance and active substances of Cordyceps militaris stromata on Antheraea pernyi pupae after optimization. Food Science and Technology. 43. 3 indexed citations

16.

Ren, Zhao, Kun Qian, Fengquan Dong, et al.. (2022). Deep attention-based neural networks for explainable heart sound classification. SHILAP Revista de lepidopterología. 9. 100322–100322. 39 indexed citations

17.

Qian, Kun, et al.. (2022). Application of Transient Slope of Zero and Pole in Bode Diagram in Automatic Identification of Filter Parameters. Journal of Control Automation and Electrical Systems. 33(6). 1840–1850. 1 indexed citations

18.

Shen, Jian, Yanan Zhang, Huajian Liang, et al.. (2022). Exploring the Intrinsic Features of EEG Signals via Empirical Mode Decomposition for Depression Recognition. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 356–365. 50 indexed citations

19.

Zhang, Zixing, Ding Liu, Jing Han, Kun Qian, & Björn W. Schuller. (2021). Learning audio sequence representations for acoustic event classification. Expert Systems with Applications. 178. 115007–115007. 6 indexed citations

20.

Zhang, Zixing, Jing Han, Kun Qian, & Björn W. Schuller. (2018). Evolving Learning for Analysing Mood-Related Infant Vocalisation. OPUS (Augsburg University). 142–146. 4 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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