Mingyang Zhang

3.8k total citations · 1 hit paper
118 papers, 2.0k citations indexed

About

Mingyang Zhang is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Mingyang Zhang has authored 118 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Media Technology, 43 papers in Computer Vision and Pattern Recognition and 43 papers in Artificial Intelligence. Recurrent topics in Mingyang Zhang's work include Remote-Sensing Image Classification (48 papers), Remote Sensing and Land Use (26 papers) and Advanced Image and Video Retrieval Techniques (13 papers). Mingyang Zhang is often cited by papers focused on Remote-Sensing Image Classification (48 papers), Remote Sensing and Land Use (26 papers) and Advanced Image and Video Retrieval Techniques (13 papers). Mingyang Zhang collaborates with scholars based in China, Singapore and Australia. Mingyang Zhang's co-authors include Maoguo Gong, Yue Wu, Hanhong Zheng, Fenlong Jiang, Tongfei Liu, Yuan Yuan, Tao Zhan, Di Lu, Hao Li and Xiangming Jiang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of Cleaner Production.

In The Last Decade

Mingyang Zhang

105 papers receiving 1.9k citations

Hit Papers

Machine learning-assisted wearable sensing systems for sp... 2025 2026 2025 5 10 15 20
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Machine learning-assisted wearable sensing systems for speech recognition and interaction
    2025 24 citations Mingyang Zhang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingyang Zhang China 27 1.1k 682 515 512 224 118 2.0k
Hongmin Gao China 27 1.2k 1.1× 598 0.9× 576 1.1× 265 0.5× 161 0.7× 173 2.0k
Heesung Kwon United States 19 1.4k 1.2× 723 1.1× 647 1.3× 381 0.7× 137 0.6× 106 2.0k
Xiaorui Ma China 27 962 0.9× 526 0.8× 662 1.3× 329 0.6× 151 0.7× 63 2.2k
Guo Cao China 20 878 0.8× 542 0.8× 516 1.0× 310 0.6× 260 1.2× 76 1.5k
Ping Zhong China 24 1.9k 1.7× 907 1.3× 1.0k 2.0× 478 0.9× 205 0.9× 82 2.7k
Liejun Wang China 22 542 0.5× 269 0.4× 843 1.6× 443 0.9× 134 0.6× 172 2.0k
Yuhui Zheng China 27 931 0.8× 331 0.5× 1.6k 3.0× 435 0.8× 71 0.3× 96 2.6k
Jie Feng China 30 1.7k 1.5× 929 1.4× 974 1.9× 414 0.8× 124 0.6× 124 2.7k
Weiying Xie China 32 2.2k 2.0× 775 1.1× 1.1k 2.1× 538 1.1× 170 0.8× 113 2.9k

Countries citing papers authored by Mingyang Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Mingyang Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingyang Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Mingyang Zhang. A scholar is included among the top collaborators of Mingyang Zhang 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 Mingyang Zhang. Mingyang Zhang 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.
Zhang, Mingyang, et al.. (2025). Diffusion Model-Based Visual Compensation Guidance and Visual Difference Analysis for No-Reference Image Quality Assessment. IEEE Transactions on Image Processing. 34. 263–278. 1 indexed citations
2.
Liu, Tongfei, Mingyang Zhang, Maoguo Gong, et al.. (2025). Commonality Feature Representation Learning for Unsupervised Multimodal Change Detection. IEEE Transactions on Image Processing. 34. 1219–1233. 11 indexed citations
3.
Jiang, Xiangming, et al.. (2024). Multiobjective sparse unmixing based hyperspectral change detection. Applied Soft Computing. 166. 112160–112160. 2 indexed citations
4.
Zhang, Bin, Gaoyang Mi, Mingyang Zhang, et al.. (2024). Research on the laser welding process and performance analysis of SiCp/Al composite and 2A14 aluminum alloy dissimilar metals. Journal of Manufacturing Processes. 125. 239–252. 4 indexed citations
5.
Gong, Maoguo, et al.. (2024). Few-Shot Learning With Enhancements to Data Augmentation and Feature Extraction. IEEE Transactions on Neural Networks and Learning Systems. 36(4). 6655–6668. 10 indexed citations
6.
Zheng, Hanhong, Mingyang Zhang, Maoguo Gong, et al.. (2024). Multi-scale hierarchical feature fusion network for change detection. Pattern Recognition. 161. 111266–111266. 7 indexed citations
7.
Fan, Xiaolong, Maoguo Gong, Yue Wu, et al.. (2024). CCGIB: A Cross-Channel Graph Information Bottleneck Principle. IEEE Transactions on Neural Networks and Learning Systems. 36(5). 9488–9499. 5 indexed citations
8.
Wang, Ruihan, et al.. (2024). Improving port state control through a transfer learning-enhanced XGBoost model. Reliability Engineering & System Safety. 253. 110558–110558. 11 indexed citations
9.
Zhang, Mingyang, et al.. (2023). Lossless Watermarking Algorithm for Geographic Point Cloud Data Based on Vertical Stability. ISPRS International Journal of Geo-Information. 12(7). 294–294. 1 indexed citations
10.
Gong, Maoguo, et al.. (2023). An M-Nary SAR Image Change Detection Based on GAN Architecture Search. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–18. 10 indexed citations
11.
Gong, Maoguo, et al.. (2023). Self-Supervised Monocular Depth Estimation With Self-Perceptual Anomaly Handling. IEEE Transactions on Neural Networks and Learning Systems. 35(12). 17292–17306. 9 indexed citations
12.
Jiang, Fenlong, Maoguo Gong, Hanhong Zheng, et al.. (2023). Self-Supervised Global–Local Contrastive Learning for Fine-Grained Change Detection in VHR Images. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–13. 28 indexed citations
13.
Zhang, Mingyang, et al.. (2023). Semisupervised Change Detection Based on Bihierarchical Feature Aggregation and Extraction Network. IEEE Transactions on Neural Networks and Learning Systems. 35(8). 10488–10502. 6 indexed citations
14.
Gong, Maoguo, et al.. (2023). Energy-Based CNN Pruning for Remote Sensing Scene Classification. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–14. 16 indexed citations
15.
Zhang, Mingyang, Hao Liu, Maoguo Gong, et al.. (2023). Cross-Domain Self-Taught Network for Few-Shot Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–19. 34 indexed citations
16.
Liu, Tongfei, et al.. (2022). Self-Attention and Convolution Fusion Network for Land Cover Change Detection over a New Data Set in Wenzhou, China. Remote Sensing. 14(23). 5969–5969. 4 indexed citations
17.
Gong, Maoguo, et al.. (2022). Two-Path Aggregation Attention Network With Quad-Patch Data Augmentation for Few-Shot Scene Classification. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–16. 37 indexed citations
18.
Li, Hao, Maoguo Gong, Mingyang Zhang, & Yue Wu. (2021). Spatially Self-Paced Convolutional Networks for Change Detection in Heterogeneous Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 4966–4979. 28 indexed citations
19.
Li, Na, et al.. (2021). Deep Fully Convolutional Embedding Networks for Hyperspectral Images Dimensionality Reduction. Remote Sensing. 13(4). 706–706. 1 indexed citations
20.
Gong, Maoguo, Fenlong Jiang, A. K. Qin, et al.. (2021). A Spectral and Spatial Attention Network for Change Detection in Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–14. 63 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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