Yide Ma

4.7k total citations
182 papers, 3.4k citations indexed

About

Yide Ma is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Yide Ma has authored 182 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Computer Vision and Pattern Recognition, 62 papers in Media Technology and 55 papers in Artificial Intelligence. Recurrent topics in Yide Ma's work include Advanced Image Fusion Techniques (39 papers), Image and Signal Denoising Methods (39 papers) and AI in cancer detection (34 papers). Yide Ma is often cited by papers focused on Advanced Image Fusion Techniques (39 papers), Image and Signal Denoising Methods (39 papers) and AI in cancer detection (34 papers). Yide Ma collaborates with scholars based in China, Canada and Japan. Yide Ma's co-authors include Zhaobin Wang, Jing Lian, Kun Zhan, Qing Liu, Yunliang Qi, Jason Gu, Shouliang Li, Yurun Ma, Meng Lou and Weiying Xie and has published in prestigious journals such as Angewandte Chemie International Edition, IEEE Access and Pattern Recognition.

In The Last Decade

Yide Ma

173 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yide Ma China 31 1.9k 1.2k 984 579 285 182 3.4k
Quansen Sun China 37 3.8k 2.0× 1.2k 1.0× 1.3k 1.3× 224 0.4× 257 0.9× 266 5.0k
Zuoyong Li China 28 2.0k 1.0× 801 0.6× 817 0.8× 280 0.5× 144 0.5× 186 3.3k
Hugo Touvron France 5 2.4k 1.2× 407 0.3× 1.7k 1.8× 445 0.8× 189 0.7× 7 4.1k
Jianmin Bao China 20 4.2k 2.1× 875 0.7× 1.2k 1.2× 279 0.5× 313 1.1× 37 5.4k
Qingmin Liao China 30 2.9k 1.5× 1.1k 0.9× 553 0.6× 209 0.4× 258 0.9× 282 4.1k
Caiming Zhang China 28 2.4k 1.2× 1.1k 0.9× 409 0.4× 283 0.5× 317 1.1× 256 3.6k
Matthew D. Zeiler United States 9 2.4k 1.3× 500 0.4× 1.8k 1.8× 284 0.5× 181 0.6× 9 4.0k
Jianfeng Lu China 27 1.9k 1.0× 623 0.5× 915 0.9× 304 0.5× 289 1.0× 166 3.0k
Rui Huang China 23 2.0k 1.0× 509 0.4× 390 0.4× 322 0.6× 275 1.0× 111 2.8k
Ming-Yu Liu United States 26 6.4k 3.3× 1.2k 0.9× 1.2k 1.2× 333 0.6× 279 1.0× 73 8.2k

Countries citing papers authored by Yide Ma

Since Specialization
Citations

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

Fields of papers citing papers by Yide Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yide Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Yide Ma. A scholar is included among the top collaborators of Yide Ma 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 Yide Ma. Yide Ma 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.
Hu, Qi, et al.. (2026). Efficient Electrochemical Urea Synthesis From CO 2 and N 2 in Moderate Pressure. Angewandte Chemie International Edition. 65(14). e8253479–e8253479.
2.
Wang, Qibin, et al.. (2026). A zero-shot across tasks fault diagnosis method of bearings combined simulation model with experimental data. Chinese Journal of Mechanical Engineering. 39. 100160–100160.
3.
Lian, Jing, et al.. (2025). FET-UNet: Merging CNN and transformer architectures for superior breast ultrasound image segmentation. Physica Medica. 133. 104969–104969. 8 indexed citations
4.
Ma, Pei, et al.. (2025). Prototype-augmented mean teacher for robust semi-supervised medical image segmentation. Pattern Recognition. 166. 111722–111722. 1 indexed citations
5.
Lian, Jing, et al.. (2023). HAU-Net: Hybrid CNN-transformer for breast ultrasound image segmentation. Biomedical Signal Processing and Control. 87. 105427–105427. 35 indexed citations
6.
Ma, Zhou, Yunliang Qi, Wei Zhao, et al.. (2023). ATFE-Net: Axial Transformer and Feature Enhancement-based CNN for ultrasound breast mass segmentation. Computers in Biology and Medicine. 153. 106533–106533. 41 indexed citations
7.
Ma, Yide, et al.. (2017). Robust unsupervised feature selection via matrix factorization. Neurocomputing. 241. 115–127. 43 indexed citations
8.
Lian, Jing, et al.. (2017). An automatic segmentation method of a parameter-adaptive PCNN for medical images. International Journal of Computer Assisted Radiology and Surgery. 12(9). 1511–1519. 14 indexed citations
9.
Dong, Min, et al.. (2015). An Efficient Approach for Automated Mass Segmentation and Classification in Mammograms. Journal of Digital Imaging. 28(5). 613–625. 77 indexed citations
10.
Yang, Bingxin, Min Yuan, Yide Ma, Jiuwen Zhang, & Kun Zhan. (2015). Local sparsity enhanced compressed sensing magnetic resonance imaging in uniform discrete curvelet domain. BMC Medical Imaging. 15(1). 28–28. 7 indexed citations
11.
Chen, Yu-Li, Yide Ma, Dong Hwan Kim, & Sung-Kee Park. (2014). Region-Based Object Recognition by Color Segmentation Using a Simplified PCNN. IEEE Transactions on Neural Networks and Learning Systems. 26(8). 1682–1697. 54 indexed citations
12.
Zhan, Kun, et al.. (2013). Spiking Cortical Model for Rotation and Scale Invariant Texture Retrieval. Lanzhou University Institutional Repository. 7 indexed citations
13.
Ma, Yide, et al.. (2013). Self-adaptive autowave pulse-coupled neural network for shortest-path problem. Neurocomputing. 115. 63–71. 19 indexed citations
14.
Ma, Yide. (2012). On the Characteristics of Curriculum of Modern Computer Organization Principle and its New Model of Experimental Teaching. 1 indexed citations
15.
Ma, Yide, et al.. (2010). Application of Pulsed Coupled Neural Network in Vehicle License Plate Location. Jisuanji gongcheng. 36(16). 174–175. 3 indexed citations
16.
Zhang, Zaifeng, et al.. (2008). An efficient method for iris feature extraction based on pulse coupled neural network. Lanzhou University Institutional Repository.
17.
Ma, Yide. (2007). Region of interest image coding algorithm. Computer Engineering and Applications Journal. 1 indexed citations
18.
Ma, Yide, et al.. (2006). Study on Feedback Pulse-coupled Neural Network Model and Its Application. 1 indexed citations
19.
Ma, Yide, et al.. (2006). Region labeling method based on doublePCNN and morphology. Lanzhou University Institutional Repository. 1. 321–324. 2 indexed citations
20.
Ma, Yide, et al.. (2005). Automated image segmentation using improved PCNN model based on cross-entropy. Lanzhou University Institutional Repository. 743–746. 187 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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