Mingyue Niu

1.4k total citations · 1 hit paper
40 papers, 972 citations indexed

About

Mingyue Niu is a scholar working on Experimental and Cognitive Psychology, Social Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mingyue Niu has authored 40 papers receiving a total of 972 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Experimental and Cognitive Psychology, 10 papers in Social Psychology and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mingyue Niu's work include Emotion and Mood Recognition (28 papers), Mental Health via Writing (9 papers) and Music and Audio Processing (6 papers). Mingyue Niu is often cited by papers focused on Emotion and Mood Recognition (28 papers), Mental Health via Writing (9 papers) and Music and Audio Processing (6 papers). Mingyue Niu collaborates with scholars based in China, United Kingdom and Germany. Mingyue Niu's co-authors include Jianhua Tao, Zheng Lian, Bin Liu, Ya Li, Jian Huang, Jian Huang, Ziping Zhao, Lang He, Rui Su and Xiaoying Pan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Frontiers in Plant Science.

In The Last Decade

Mingyue Niu

40 papers receiving 947 citations

Hit Papers

Deep learning for depression recognition with audiovisual... 2021 2026 2022 2024 2021 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingyue Niu China 19 605 291 239 166 161 40 972
Yuanyuan Shang China 19 411 0.7× 156 0.5× 174 0.7× 133 0.8× 677 4.2× 37 1.1k
Ming-Hsiang Su Taiwan 12 238 0.4× 283 1.0× 73 0.3× 63 0.4× 81 0.5× 48 567
Mohan Karnati India 11 308 0.5× 107 0.4× 49 0.2× 125 0.8× 324 2.0× 27 609
Kun-Yi Huang Taiwan 10 210 0.3× 185 0.6× 65 0.3× 56 0.3× 69 0.4× 25 420
Peixiang Zhong Singapore 9 492 0.8× 427 1.5× 61 0.3× 465 2.8× 100 0.6× 12 934
Thurid Vogt Germany 15 464 0.8× 367 1.3× 184 0.8× 109 0.7× 161 1.0× 29 766
Cheng Lu China 14 359 0.6× 263 0.9× 33 0.1× 90 0.5× 324 2.0× 62 764
Linlin Chao China 9 236 0.4× 198 0.7× 56 0.2× 39 0.2× 92 0.6× 15 394
Athanasia Zlatintsi Greece 13 139 0.2× 145 0.5× 37 0.2× 79 0.5× 388 2.4× 37 635
Dino Seppi Germany 13 834 1.4× 666 2.3× 139 0.6× 103 0.6× 181 1.1× 26 1.2k

Countries citing papers authored by Mingyue Niu

Since Specialization
Citations

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

Fields of papers citing papers by Mingyue Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingyue Niu

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

All Works

20 of 20 papers shown
1.
Niu, Mingyue, Jianhua Tao, Yongjun He, Shiqing Zhang, & Ming Li. (2025). Examining the Fourier Spectrum of Speech Signal From a Time-Frequency Perspective for Automatic Depression Level Prediction. IEEE Transactions on Affective Computing. 16(4). 2735–2747. 2 indexed citations
2.
Niu, Mingyue, Ming Li, & Changzeng Fu. (2024). PointTransform Networks for automatic depression level prediction via facial keypoints. Knowledge-Based Systems. 297. 111951–111951. 11 indexed citations
3.
Fu, Changzeng, Siyang Song, Mingyue Niu, et al.. (2024). Facial action units guided graph representation learning for multimodal depression detection. Neurocomputing. 619. 129106–129106. 5 indexed citations
4.
Niu, Mingyue, et al.. (2023). WavDepressionNet: Automatic Depression Level Prediction via Raw Speech Signals. IEEE Transactions on Affective Computing. 15(1). 285–296. 12 indexed citations
5.
Wang, Xuekun, Min Wang, Mingyue Niu, et al.. (2022). Diphenyl Ether Derivatives as Novel GPR120 Agonists for the Treatment of Type 2 Diabetes Mellitus. Chemistry & Biodiversity. 20(1). e202200814–e202200814. 2 indexed citations
6.
Zhao, Ziping, Zhen Gong, Mingyue Niu, et al.. (2022). Automatic Respiratory Sound Classification Via Multi-Branch Temporal Convolutional Network. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 9102–9106. 21 indexed citations
7.
Niu, Mingyue, Ziping Zhao, Jianhua Tao, Ya Li, & Björn W. Schuller. (2022). Selective Element and Two Orders Vectorization Networks for Automatic Depression Severity Diagnosis via Facial Changes. IEEE Transactions on Circuits and Systems for Video Technology. 32(11). 8065–8077. 24 indexed citations
8.
Li, Ya, Mingyue Niu, Ziping Zhao, & Jianhua Tao. (2022). Automatic Depression Level Assessment from Speech By Long-Term Global Information Embedding. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 8507–8511. 10 indexed citations
9.
An, Ran, et al.. (2022). The complete chloroplast genome of Rhododendron huadingense (Ericaceae). SHILAP Revista de lepidopterología. 7(11). 1910–1912. 6 indexed citations
10.
Niu, Mingyue, Ziping Zhao, Jianhua Tao, Ya Li, & Björn W. Schuller. (2022). Dual Attention and Element Recalibration Networks for Automatic Depression Level Prediction. IEEE Transactions on Affective Computing. 14(3). 1954–1965. 24 indexed citations
11.
Huang, Jian, Jianhua Tao, Bin Liu, Zheng Lian, & Mingyue Niu. (2020). Multimodal Transformer Fusion for Continuous Emotion Recognition. 3507–3511. 101 indexed citations
12.
Niu, Mingyue, Jianhua Tao, Bin Liu, Jian Huang, & Zheng Lian. (2020). Multimodal Spatiotemporal Representation for Automatic Depression Level Detection. IEEE Transactions on Affective Computing. 14(1). 294–307. 104 indexed citations
13.
Lv, Zhao, et al.. (2020). Micro-Expression Recognition Based on Multiple Aggregation Networks. 1043–1047. 3 indexed citations
14.
Niu, Mingyue, Jianhua Tao, Bin Liu, & Cunhang Fan. (2019). Automatic Depression Level Detection via ℓp-Norm Pooling. 4559–4563. 25 indexed citations
15.
Li, Zhenzhen, et al.. (2019). [Discussion on safety evaluation and risk control measures of Epimedii Folium].. PubMed. 44(8). 1715–1723. 8 indexed citations
16.
Niu, Mingyue, Jianhua Tao, & Bin Liu. (2019). Local Second-Order Gradient Cross Pattern for Automatic Depression Detection. 128–132. 9 indexed citations
17.
Yang, Bin, et al.. (2018). Analysis of SSR Information in Transcriptome and Development of SSR Molecular Markers in Rhododendron fortunei. Journal of Nuclear Agricultural Sciences. 32(12). 2335. 3 indexed citations
18.
Li, Xiuyun, E. K. Lin, Huahong Huang, et al.. (2018). Molecular Characterization of SQUAMOSA PROMOTER BINDING PROTEIN-LIKE (SPL) Gene Family in Betula luminifera. Frontiers in Plant Science. 9. 608–608. 40 indexed citations
19.
Lian, Zheng, Ya Li, Jianhua Tao, Jian Huang, & Mingyue Niu. (2018). Region Based Robust Facial Expression Analysis. 12. 1–5. 12 indexed citations
20.
Niu, Mingyue, Ya Li, Jianhua Tao, & Sujing Wang. (2018). Micro-Expression Recognition Based on Local Two-Order Gradient Pattern. Institutional Repository of Institute of Psychology, Chinese Academy of Sciences (Institute of Psychology, Chinese Academy of Sciences). 1–6. 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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