Minqiang Yang

876 total citations · 1 hit paper
36 papers, 325 citations indexed

About

Minqiang Yang is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience and Human-Computer Interaction. According to data from OpenAlex, Minqiang Yang has authored 36 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Experimental and Cognitive Psychology, 12 papers in Cognitive Neuroscience and 8 papers in Human-Computer Interaction. Recurrent topics in Minqiang Yang's work include Emotion and Mood Recognition (10 papers), Gaze Tracking and Assistive Technology (8 papers) and Mental Health Research Topics (7 papers). Minqiang Yang is often cited by papers focused on Emotion and Mood Recognition (10 papers), Gaze Tracking and Assistive Technology (8 papers) and Mental Health Research Topics (7 papers). Minqiang Yang collaborates with scholars based in China, United States and Poland. Minqiang Yang's co-authors include Bin Hu, Yushan Wu, Xiping Hu, Hanshu Cai, Zhenyu Liu, Jian Hou, Yu Ma, Kevin Lee, Chengsheng Mao and Adrienne Kline and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Knowledge and Data Engineering and IEEE Internet of Things Journal.

In The Last Decade

Minqiang Yang

31 papers receiving 320 citations

Hit Papers

DepMSTAT: Multimodal Spatio-Temporal Attentional Transfor... 2024 2026 2025 2024 10 20 30 40

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minqiang Yang China 11 121 93 51 51 43 36 325
Bochao Zou China 9 75 0.6× 94 1.0× 63 1.2× 33 0.6× 41 1.0× 36 251
Yona Falinie A. Gaus United Kingdom 9 81 0.7× 34 0.4× 31 0.6× 53 1.0× 114 2.7× 20 249
Zixiang Fei China 8 103 0.9× 55 0.6× 15 0.3× 47 0.9× 136 3.2× 21 265
Mohammad Faridul Haque Siddiqui United States 5 145 1.2× 49 0.5× 37 0.7× 52 1.0× 101 2.3× 9 248
Michiko Ohkura Japan 8 120 1.0× 95 1.0× 89 1.7× 23 0.5× 57 1.3× 79 309
Yushan Wu China 7 57 0.5× 33 0.4× 16 0.3× 87 1.7× 163 3.8× 19 305
Gabriela Moise Romania 6 129 1.1× 128 1.4× 51 1.0× 35 0.7× 23 0.5× 21 268
Ming Fang China 8 84 0.7× 17 0.2× 47 0.9× 145 2.8× 55 1.3× 28 278
Chenguang Guo China 7 125 1.0× 43 0.5× 67 1.3× 54 1.1× 43 1.0× 24 268

Countries citing papers authored by Minqiang Yang

Since Specialization
Citations

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

Fields of papers citing papers by Minqiang Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minqiang Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Minqiang Yang. A scholar is included among the top collaborators of Minqiang 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 Minqiang Yang. Minqiang Yang 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.
Su, Tao, et al.. (2025). Joint probabilistic modeling analysis of head and eye behaviors in autism spectrum disorder children based on a social interaction paradigm. Biomedical Signal Processing and Control. 106. 107669–107669. 1 indexed citations
2.
Hu, Bin, et al.. (2025). Enhancing UAV Human-Machine Interaction With Multimodal Behavioral Data: A Gaze-Posture Synergistic Approach. IEEE Transactions on Consumer Electronics. 71(3). 8033–8044.
3.
Yang, Minqiang, et al.. (2025). Echoes of Empathy: A Symbiotic IoT-Based Emotion Feedback Framework for Psychological Interventions via Large Language Model. IEEE Internet of Things Journal. 12(20). 41297–41308.
4.
Yang, Minqiang, et al.. (2025). Spike Memory Transformer: An Energy-Efficient Model in Distributed Learning Framework for Autonomous Depression Detection. IEEE Internet of Things Journal. 1–1. 1 indexed citations
5.
Zheng, Weihao, et al.. (2025). Multi-Scale Temporal-Frequency Attention Network Based on Ocular Imaging for Depression Detection. IEEE Journal of Biomedical and Health Informatics. 30(3). 2476–2486.
6.
Chen, Peng, et al.. (2024). Analysis of flow field characteristics and factors influencing the excavation chamber in large-diameter slurry shield. Tunnelling and Underground Space Technology. 152. 105966–105966. 1 indexed citations
7.
Liu, Xiang, et al.. (2024). Multimodal Depression Detection Based on Self-Attention Network With Facial Expression and Pupil. IEEE Transactions on Computational Social Systems. 12(1). 64–76. 4 indexed citations
8.
Fu, Xiang, Ying Wang, Hongmin Cai, et al.. (2024). Decomposing Neuroanatomical Heterogeneity of Autism Spectrum Disorder Across Different Developmental Stages Using Morphological Multiplex Network Model. IEEE Transactions on Computational Social Systems. 11(5). 6557–6567. 1 indexed citations
9.
Yang, Minqiang, et al.. (2024). Heterogeneous Graph Attention Networks for Depression Identification by Campus Cyber-Activity Patterns. IEEE Transactions on Computational Social Systems. 11(3). 3493–3503. 2 indexed citations
10.
Yang, Minqiang, Edith C.‐H. Ngai, Xiping Hu, et al.. (2024). Digital Phenotyping and Feature Extraction on Smartphone Data for Depression Detection. Proceedings of the IEEE. 112(12). 1773–1798. 5 indexed citations
11.
Shen, Hao, Zihan Li, Minqiang Yang, et al.. (2024). Are Large Language Models Possible to Conduct Cognitive Behavioral Therapy?. 3695–3700. 1 indexed citations
12.
Yang, Minqiang, et al.. (2024). Gaze Patterns in Children With Autism Spectrum Disorder to Emotional Faces: Scanpath and Similarity. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32. 865–874. 8 indexed citations
13.
Hu, Bin, et al.. (2023). Detecting depression based on facial cues elicited by emotional stimuli in video. Computers in Biology and Medicine. 165. 107457–107457. 17 indexed citations
14.
Ren, Jing, Minqiang Yang, Yuhong Zhang, et al.. (2023). Predicting Recurrence in Pancreatic Ductal Adenocarcinoma after Radical Surgery Using an AX-Unet Pancreas Segmentation Model and Dynamic Nomogram. Bioengineering. 10(7). 828–828. 6 indexed citations
15.
Yang, Minqiang, et al.. (2023). Trial Selection Tensor Canonical Correlation Analysis (TSTCCA) for Depression Recognition With Facial Expression and Pupil Diameter. IEEE Journal of Biomedical and Health Informatics. 29(6). 3989–4000. 31 indexed citations
16.
Yang, Minqiang, et al.. (2023). Classifying Anxiety and Depression through LLMs Virtual Interactions: A Case Study with ChatGPT. 2259–2264. 14 indexed citations
18.
Yang, Minqiang, et al.. (2023). Retinal Vessel Segmentation in Medical Diagnosis using Multi-scale Attention Generative Adversarial Networks. Mobile Networks and Applications. 28(4). 1391–1401. 2 indexed citations
19.
Yang, Minqiang, et al.. (2022). Clustering Based on Eye Tracking Data for Depression Recognition. IEEE Transactions on Cognitive and Developmental Systems. 15(4). 1754–1764. 14 indexed citations
20.
Yang, Minqiang, et al.. (2022). AX-Unet: A Deep Learning Framework for Image Segmentation to Assist Pancreatic Tumor Diagnosis. Frontiers in Oncology. 12. 15 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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