Ming Yin

6.3k total citations · 3 hit papers
196 papers, 4.4k citations indexed

About

Ming Yin is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ming Yin has authored 196 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Electrical and Electronic Engineering, 42 papers in Computer Vision and Pattern Recognition and 27 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ming Yin's work include Neuroscience and Neural Engineering (27 papers), EEG and Brain-Computer Interfaces (20 papers) and Sparse and Compressive Sensing Techniques (17 papers). Ming Yin is often cited by papers focused on Neuroscience and Neural Engineering (27 papers), EEG and Brain-Computer Interfaces (20 papers) and Sparse and Compressive Sensing Techniques (17 papers). Ming Yin collaborates with scholars based in China, United States and Australia. Ming Yin's co-authors include Junbin Gao, Zhouchen Lin, Xiaoning Liu, Yü Liu, Xun Chen, Maysam Ghovanloo, Gengyin Li, David A. Borton, Juan Aceros and Ming Zhou and has published in prestigious journals such as Neuron, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

Ming Yin

180 papers receiving 4.3k citations

Hit Papers

Medical Image Fusion With Parameter-Adaptive Pulse Couple... 2015 2026 2018 2022 2018 2015 2022 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Yin China 32 1.4k 1.4k 897 649 604 196 4.4k
Jiantao Zhou Macao 43 4.2k 2.9× 1.3k 0.9× 1.4k 1.6× 410 0.6× 346 0.6× 223 6.7k
Linlin Shen China 43 3.4k 2.4× 482 0.3× 1.1k 1.2× 623 1.0× 185 0.3× 311 6.8k
Yuanqing Li China 45 1.0k 0.7× 985 0.7× 310 0.3× 574 0.9× 1.6k 2.7× 230 6.8k
Masatoshi Ishikawa Japan 43 2.2k 1.6× 1.8k 1.3× 1.1k 1.3× 2.6k 4.0× 274 0.5× 702 8.0k
Kenneth E. Barner United States 34 1.7k 1.2× 470 0.3× 460 0.5× 928 1.4× 87 0.1× 215 4.6k
Weidong Chen China 39 1.6k 1.1× 492 0.4× 281 0.3× 1.5k 2.3× 186 0.3× 399 5.3k
Ning Xi United States 45 1.2k 0.9× 971 0.7× 218 0.2× 3.4k 5.2× 213 0.4× 708 8.3k
Amitava Chatterjee India 38 1.1k 0.8× 2.1k 1.5× 208 0.2× 476 0.7× 59 0.1× 270 5.7k
Liming Zhang China 28 2.2k 1.5× 483 0.3× 619 0.7× 1.5k 2.4× 57 0.1× 221 5.3k
Clément Farabet United States 12 2.7k 1.9× 888 0.6× 427 0.5× 245 0.4× 81 0.1× 16 4.8k

Countries citing papers authored by Ming Yin

Since Specialization
Citations

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

Fields of papers citing papers by Ming Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Yin. A scholar is included among the top collaborators of Ming Yin 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 Ming Yin. Ming Yin 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.
Yin, Ming, Juan Wang, Xiuqin Zhao, et al.. (2025). Epitranscriptome profiles reveal participation of the RNA methyltransferase gene OsMTA1 in rice seed germination and salt stress response. BMC Plant Biology. 25(1). 115–115. 6 indexed citations
2.
Wang, Yonghua, et al.. (2024). A symmetric low-rank subspace clustering method for cooperative spectrum sensing in complex environments. Physical Communication. 63. 102313–102313.
3.
Li, Yitong, Ming Yin, Caichen Yang, et al.. (2024). In situ exsolution nanophase decorated perovskite cathode for solid oxide electrolysis cells with efficient CO2 electrolysis performance. Journal of Rare Earths. 43(5). 1018–1025. 4 indexed citations
4.
5.
Yin, Ming, et al.. (2024). MVAIBNet: Multiview Disentangled Representation Learning With Information Bottleneck. IEEE Transactions on Industrial Informatics. 20(10). 11511–11520. 2 indexed citations
6.
Yin, Ming, et al.. (2024). Toward General Function Approximation in Nonstationary Reinforcement Learning. IEEE Journal on Selected Areas in Information Theory. 5. 190–206. 1 indexed citations
7.
Yin, Ming, Maoshen Chen, Bor‐Sen Chiou, & Fei Liu. (2023). Construction of cyclodextrin-based organic frameworks with adjustable size: Enhanced the physicochemical stability and controlled release characteristics of apigenin. Food Bioscience. 53. 102683–102683. 12 indexed citations
8.
Yin, Ming, Xiaohua Liu, Liuyang Wang, & Guoliang He. (2023). Learning latent embedding via weighted projection matrix alignment for incomplete multi-view clustering. Information Sciences. 634. 244–258. 19 indexed citations
9.
Yin, Ming, et al.. (2023). On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation. Proceedings of the AAAI Conference on Artificial Intelligence. 37(8). 9310–9318. 1 indexed citations
10.
Yin, Ming, et al.. (2023). Identifying Transshipment Hubs in a Global Container Shipping Network: An Approach Based on Reinforced Structural Holes. Journal of Marine Science and Engineering. 11(8). 1585–1585. 3 indexed citations
11.
Yin, Ming, et al.. (2023). Topology Optimization of Magnetic Actuator based on Reluctance Network Modeling and Adjoint Variable Method. SPIRE - Sciences Po Institutional REpository.
12.
Yin, Ming, et al.. (2023). Multi-channel LFP recording data compression scheme using Cooperative PCA and Kalman Filter. Biomedical Signal Processing and Control. 87. 105468–105468. 1 indexed citations
13.
Yin, Ming, Toufique Ahmed Soomro, Muhammad Irfan, et al.. (2023). Dual-Branch U-Net Architecture for Retinal Lesions Segmentation on Fundus Image. IEEE Access. 11. 130451–130465. 8 indexed citations
14.
Yin, Ming, et al.. (2023). Efficient skeleton-based action recognition via multi-stream depthwise separable convolutional neural network. Expert Systems with Applications. 226. 120080–120080. 21 indexed citations
15.
Gao, Shengxiang, Zhengtao Yu, Taisong Jin, & Ming Yin. (2019). Multi-view low-rank matrix factorization using multiple manifold regularization. Neurocomputing. 335. 143–152. 24 indexed citations
16.
Yin, Ming, et al.. (2015). Image Super-resolution Reconstruction Based on Interpolation and Shearlet Fusion. Jisuanji gongcheng. 1 indexed citations
17.
Yin, Ming, et al.. (2013). Sensor Selection and Location Scheme for Prognostic and Health Management. SHILAP Revista de lepidopterología. 3 indexed citations
18.
Yin, Ming, et al.. (2009). Investigation on the Recrystallization Behaviour of Cold Deformed MP159 Alloy. Journal of Material Science and Technology. 12(4). 277–280. 1 indexed citations
19.
Zhou, Peng, et al.. (2008). Polarity-Free Resistive Switching Characteristics of Cu x O Films for Non-volatile Memory Applications. Chinese Physics Letters. 25(3). 1087–1090. 20 indexed citations
20.
Yin, Ming. (2002). Study on the Heat-mass Transfer in Falling Film outside the Vertical Tube for Water Vapor Absorption into Aqueous Lithium Bromide. Journal of Chemical Engineering of Chinese Universities. 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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