Weikang Yu

552 total citations · 1 hit paper
27 papers, 357 citations indexed

About

Weikang Yu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Weikang Yu has authored 27 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 10 papers in Media Technology and 7 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Weikang Yu's work include Remote-Sensing Image Classification (8 papers), Electromagnetic Scattering and Analysis (7 papers) and Advanced Antenna and Metasurface Technologies (6 papers). Weikang Yu is often cited by papers focused on Remote-Sensing Image Classification (8 papers), Electromagnetic Scattering and Analysis (7 papers) and Advanced Antenna and Metasurface Technologies (6 papers). Weikang Yu collaborates with scholars based in China, Germany and United Kingdom. Weikang Yu's co-authors include Xiaokang Zhang, Man-On Pun, Wenzhong Shi, Pedram Ghamisi, Yonghao Xu, Xudong Kang, Peter M. Atkinson, Tao Bai, Shizhen Chang and Hu Yang and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and IEEE Transactions on Antennas and Propagation.

In The Last Decade

Weikang Yu

23 papers receiving 345 citations

Hit Papers

Cross-domain landslide mapping from large-scale remote se... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weikang Yu China 9 136 112 83 63 49 27 357
Caihong Ma China 12 117 0.9× 81 0.7× 41 0.5× 57 0.9× 27 0.6× 41 382
Alessandro Sebastianelli Italy 7 58 0.4× 42 0.4× 138 1.7× 36 0.6× 86 1.8× 24 347
Xiangning Chen China 9 168 1.2× 63 0.6× 37 0.4× 104 1.7× 11 0.2× 46 434
Nargess Memarsadeghi United States 8 62 0.5× 65 0.6× 46 0.6× 33 0.5× 10 0.2× 30 285
Jianxin Jia China 12 221 1.6× 78 0.7× 59 0.7× 84 1.3× 6 0.1× 35 458
Jiangbo Xi China 10 52 0.4× 46 0.4× 37 0.4× 47 0.7× 66 1.3× 37 292
Qin Dai China 11 123 0.9× 98 0.9× 47 0.6× 60 1.0× 12 0.2× 62 344
Pengyuan Lv China 9 290 2.1× 138 1.2× 61 0.7× 175 2.8× 42 0.9× 21 410
Pai‐Hui Hsu Taiwan 9 146 1.1× 52 0.5× 42 0.5× 95 1.5× 14 0.3× 26 327
William S. Hungate United States 3 235 1.7× 130 1.2× 49 0.6× 95 1.5× 5 0.1× 3 366

Countries citing papers authored by Weikang Yu

Since Specialization
Citations

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

Fields of papers citing papers by Weikang Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weikang Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Weikang Yu. A scholar is included among the top collaborators of Weikang Yu 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 Weikang Yu. Weikang Yu 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.
Ghamisi, Pedram, Weikang Yu, Andrea Marinoni, et al.. (2025). Responsible Artificial Intelligence for Earth Observation: Achievable and realistic paths to serve the collective good. IEEE Geoscience and Remote Sensing Magazine. 13(3). 72–96. 3 indexed citations
2.
Zhang, Xiaokang, et al.. (2025). OSClip: Domain-Adaptive Prompt Tuning of Vision-Language Models for Open-Set Remote Sensing Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 25863–25875.
3.
Wang, Jingbo, Xiaokang Zhang, Xianping Ma, Weikang Yu, & Pedram Ghamisi. (2025). Auto-Prompting SAM for Weakly Supervised Landslide Extraction. IEEE Geoscience and Remote Sensing Letters. 22. 1–5. 3 indexed citations
4.
Yu, Weikang, Yonghao Xu, & Pedram Ghamisi. (2024). Universal adversarial defense in remote sensing based on pre-trained denoising diffusion models. International Journal of Applied Earth Observation and Geoinformation. 133. 104131–104131. 5 indexed citations
5.
Zhang, Xiaokang, et al.. (2024). Prototypical Unknown-Aware Multiview Consistency Learning for Open-Set Cross-Domain Remote Sensing Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–16. 6 indexed citations
6.
Yu, Weikang, et al.. (2024). MineNetCD: A Benchmark for Global Mining Change Detection on Remote Sensing Imagery. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–16. 9 indexed citations
7.
Yu, Weikang, et al.. (2024). MineNet-CD: Global Mining Change Detection Dataset. 905–908.
8.
Zhang, Xiaokang, Weikang Yu, Man-On Pun, & Wenzhong Shi. (2023). Cross-domain landslide mapping from large-scale remote sensing images using prototype-guided domain-aware progressive representation learning. ISPRS Journal of Photogrammetry and Remote Sensing. 197. 1–17. 96 indexed citations breakdown →
9.
Xu, Yonghao, Tao Bai, Weikang Yu, et al.. (2023). AI Security for Geoscience and Remote Sensing: Challenges and future trends. IEEE Geoscience and Remote Sensing Magazine. 11(2). 60–85. 47 indexed citations
10.
Xu, Yonghao, Weikang Yu, Pedram Ghamisi, Michael Kopp, & Sepp Hochreiter. (2023). Txt2Img-MHN: Remote Sensing Image Generation From Text Using Modern Hopfield Networks. IEEE Transactions on Image Processing. 32. 5737–5750. 32 indexed citations
11.
Zhang, Xiaokang, et al.. (2023). Federated Deep Learning With Prototype Matching for Object Extraction From Very-High-Resolution Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–16. 29 indexed citations
12.
Zhang, Xiaokang, Weikang Yu, & Man-On Pun. (2022). Multilevel Deformable Attention-Aggregated Networks for Change Detection in Bitemporal Remote Sensing Imagery. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–18. 24 indexed citations
13.
Yu, Weikang, Xiaokang Zhang, & Man-On Pun. (2022). Cloud Removal in Optical Remote Sensing Imagery Using Multiscale Distortion-Aware Networks. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 28 indexed citations
14.
Yu, Weikang, Xiaokang Zhang, Man-On Pun, & Ming Liu. (2021). A Hybrid Model-Based and Data-Driven Approach for Cloud Removal in Satellite Imagery Using Multi-Scale Distortion-Aware Networks. 7160–7163. 4 indexed citations
15.
Zhou, Yuezhi, Linmi Tao, Weikang Yu, et al.. (2021). A Chan-Vese model based on the Markov chain for unsupervised medical image segmentation. Tsinghua Science & Technology. 26(6). 833–844. 27 indexed citations
16.
Xu, Yanlin, Hu Yang, Weikang Yu, & Jiang Zhu. (2018). An Automatic Scheme for Synthetic Basis Functions Method. IEEE Transactions on Antennas and Propagation. 66(3). 1601–1606. 4 indexed citations
17.
Xu, Yanlin, Hu Yang, & Weikang Yu. (2017). A selection scheme of synthetic functions for synthetic basis functions method. 1120–1123.
18.
Xu, Yanlin, Hu Yang, & Weikang Yu. (2015). Scattering Analysis of Periodic Composite Metallic and Dielectric Structures with Synthetic Basis Functions. 1059–1067. 8 indexed citations
19.
Yu, Weikang. (2006). Establishment of Individualized & Autonomous Learning Center. 1 indexed citations
20.
Yu, Weikang, Satadru Dey, & R. Mittra. (2003). Modeling of periodic structures using the finite difference time domain (FDTD). 1. 594–597. 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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