Weiming Wang

2.5k total citations
118 papers, 1.5k citations indexed

About

Weiming Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Weiming Wang has authored 118 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Vision and Pattern Recognition, 17 papers in Artificial Intelligence and 12 papers in Biomedical Engineering. Recurrent topics in Weiming Wang's work include Image and Signal Denoising Methods (13 papers), 3D Shape Modeling and Analysis (9 papers) and Image Enhancement Techniques (9 papers). Weiming Wang is often cited by papers focused on Image and Signal Denoising Methods (13 papers), 3D Shape Modeling and Analysis (9 papers) and Image Enhancement Techniques (9 papers). Weiming Wang collaborates with scholars based in China, Hong Kong and United States. Weiming Wang's co-authors include Huadong Guo, Jinsong Chen, Yun Shao, Jing Qin, Pheng‐Ann Heng, Jianyong Yu, Zaisheng Cai, Lei Zhu, Mingqiang Wei and Haoran Xie and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Virology and IEEE Transactions on Information Theory.

In The Last Decade

Weiming Wang

105 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weiming Wang China 20 335 189 185 149 141 118 1.5k
Huanhuan Zhang China 23 329 1.0× 163 0.9× 117 0.6× 192 1.3× 31 0.2× 128 1.7k
Lun Zhang China 27 494 1.5× 68 0.4× 174 0.9× 103 0.7× 136 1.0× 154 2.5k
Liqian Wang China 17 215 0.6× 172 0.9× 441 2.4× 101 0.7× 158 1.1× 137 1.6k
Yanjie Chen China 21 488 1.5× 215 1.1× 253 1.4× 25 0.2× 64 0.5× 140 1.6k
Ling Ma China 25 273 0.8× 179 0.9× 79 0.4× 62 0.4× 386 2.7× 125 2.1k
Hui Xue China 17 474 1.4× 126 0.7× 62 0.3× 87 0.6× 54 0.4× 78 1.1k
Chenglong Zhang China 18 186 0.6× 109 0.6× 94 0.5× 57 0.4× 45 0.3× 88 1.2k
Hao Liu China 18 116 0.3× 135 0.7× 230 1.2× 27 0.2× 63 0.4× 162 1.4k
Xiaowei Fu China 24 381 1.1× 448 2.4× 54 0.3× 82 0.6× 143 1.0× 142 2.1k
Wojciech Czaja United States 20 330 1.0× 224 1.2× 221 1.2× 268 1.8× 28 0.2× 78 3.3k

Countries citing papers authored by Weiming Wang

Since Specialization
Citations

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

Fields of papers citing papers by Weiming Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiming Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Weiming Wang. A scholar is included among the top collaborators of Weiming Wang 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 Weiming Wang. Weiming Wang 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.
2.
Luo, Weiguang, Xiuwei Li, Chenxi Zhang, et al.. (2025). Physicochemical characterization and protective effects of raw and nine-steamed Polygonatum cyrtonema polysaccharides on cyclophosphamide-induced immunosuppression in mice. International Journal of Biological Macromolecules. 307(Pt 2). 141911–141911. 3 indexed citations
3.
Zhao, Baoliang, et al.. (2025). Liver lesion segmentation in ultrasound: A benchmark and a baseline network. Computerized Medical Imaging and Graphics. 123. 102523–102523.
4.
Yan, Yunlu, Chun-Mei Feng, Yuexiang Li, et al.. (2025). Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI Reconstruction. IEEE Journal of Biomedical and Health Informatics. 29(8). 5849–5861. 1 indexed citations
5.
Wang, Weiming, et al.. (2025). CrossTracker: Robust Multi-Modal 3D Multi-Object Tracking via Cross Correction. IEEE Transactions on Circuits and Systems for Video Technology. 36(2). 2191–2206. 1 indexed citations
6.
Su, Yuting, et al.. (2025). Adversarial neighbor perception network with feature distillation for anomaly detection. Expert Systems with Applications. 274. 126911–126911. 1 indexed citations
7.
Su, Yuting, et al.. (2025). AMDANet: Augmented Multiscale Difference Aggregation Network for Image Change Detection. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–12. 1 indexed citations
8.
9.
Wang, Weiming, et al.. (2024). Real‐World Image Deraining Using Model‐Free Unsupervised Learning. International Journal of Intelligent Systems. 2024(1). 1 indexed citations
10.
Chen, Baian, et al.. (2024). Point Transformer-Based Salient Object Detection Network for 3-D Measurement Point Clouds. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–11. 4 indexed citations
11.
Fang, Hongjie, Hao-Shu Fang, Yiming Wang, et al.. (2024). AirExo: Low-Cost Exoskeletons for Learning Whole-Arm Manipulation in the Wild. 15031–15038. 16 indexed citations
12.
Wang, Weiming, et al.. (2024). Lost in UNet: Improving Infrared Small Target Detection by Underappreciated Local Features. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–15. 5 indexed citations
13.
Xu, Lingling, Haoran Xie, Zongxi Li, et al.. (2023). Contrastive Learning Models for Sentence Representations. ACM Transactions on Intelligent Systems and Technology. 14(4). 1–34. 17 indexed citations
14.
Chen, Honghua, Weiming Wang, Haoran Xie, et al.. (2022). Nonlocal Low-Rank Point Cloud Denoising for 3-D Measurement Surfaces. IEEE Transactions on Instrumentation and Measurement. 71. 1–14. 12 indexed citations
15.
Xie, Guobo, Jianming Li, Guosheng Gu, et al.. (2022). DRPADC: A novel drug repositioning algorithm predicting adaptive drugs for COVID-19. Computers & Chemical Engineering. 166. 107947–107947. 7 indexed citations
16.
Xie, Guobo, Jianming Li, Guosheng Gu, et al.. (2021). BGMSDDA: a bipartite graph diffusion algorithm with multiple similarity integration for drug–disease association prediction. Molecular Omics. 17(6). 997–1011. 17 indexed citations
17.
Xie, Guobo, Zhiyi Lin, Yuping Sun, et al.. (2021). HOPMCLDA: predicting lncRNA–disease associations based on high-order proximity and matrix completion. Molecular Omics. 17(5). 760–768. 4 indexed citations
18.
Zhang, Yingkui, Weiming Wang, Haoran Xie, et al.. (2021). Cascaded Normal Filtering Neural Network for Geometry-Aware Mesh Denoising of Measurement Surfaces. IEEE Transactions on Instrumentation and Measurement. 70. 1–13. 6 indexed citations
19.
Xie, Guobo, Hui Chen, Yuping Sun, et al.. (2021). Predicting circRNA-Disease Associations Based on Deep Matrix Factorization with Multi-source Fusion. Interdisciplinary Sciences Computational Life Sciences. 13(4). 582–594. 11 indexed citations
20.
Wang, Weiming, Zaisheng Cai, & Jianyong Yu. (2008). Study on the Chemical Modification Process of Jute Fiber. SHILAP Revista de lepidopterología. 6 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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