Jingwen Yan

2.6k total citations
112 papers, 1.9k citations indexed

About

Jingwen Yan is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Control and Systems Engineering. According to data from OpenAlex, Jingwen Yan has authored 112 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Vision and Pattern Recognition, 34 papers in Media Technology and 22 papers in Control and Systems Engineering. Recurrent topics in Jingwen Yan's work include Advanced Image Fusion Techniques (30 papers), Image and Signal Denoising Methods (23 papers) and Traffic Prediction and Management Techniques (12 papers). Jingwen Yan is often cited by papers focused on Advanced Image Fusion Techniques (30 papers), Image and Signal Denoising Methods (23 papers) and Traffic Prediction and Management Techniques (12 papers). Jingwen Yan collaborates with scholars based in China, Hong Kong and United States. Jingwen Yan's co-authors include Xiaobo Qu, Zhongsheng Hou, Jian‐Xin Xu, Teng Zhou, Maofang Gao, Di Guo, Youyi Song, Ying Yu, Dazhi Jiang and Yaozhi Luo and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Jingwen Yan

101 papers receiving 1.8k citations

Peers

Jingwen Yan
Kai Xu China
Qiang Wang China
Xiaobo Lu China
Ángel D. Sappa Spain
Zheng-Ning Liu China
Meng-Hao Guo China
Qi Zhao China
Tai‐Jiang Mu China
Jakub Nalepa Poland
Kai Xu China
Jingwen Yan
Citations per year, relative to Jingwen Yan Jingwen Yan (= 1×) peers Kai Xu

Countries citing papers authored by Jingwen Yan

Since Specialization
Citations

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

Fields of papers citing papers by Jingwen Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingwen Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Jingwen Yan. A scholar is included among the top collaborators of Jingwen Yan 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 Jingwen Yan. Jingwen Yan 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.
Gao, Chen, et al.. (2025). A State Space Model-Driven Multiscale Attention Method for Geological Hazard Segmentation. IEEE Transactions on Instrumentation and Measurement. 74. 1–12.
2.
Yan, Jingwen, et al.. (2025). Bioengineering Human Milk Microstructure in Infant Formula: A Mini‐Review on Technological Strategies. Journal of the American Oil Chemists Society. 102(12). 1737–1748.
3.
Li, Shunrong, Xiaolan Zhang, Jingwen Yan, et al.. (2024). The learning curve of the MS-TRAM/DIEP breast reconstruction by dual-trained breast surgeons. BMC Surgery. 24(1). 53–53. 2 indexed citations
4.
Lin, Zhizhe, et al.. (2024). Spatiotemporal Dynamic Multi-Hop Network for Traffic Flow Forecasting. Sustainability. 16(14). 5860–5860. 2 indexed citations
5.
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7.
Li, Qi, et al.. (2024). Attentional adversarial training for few-shot medical image segmentation without annotations. PLoS ONE. 19(5). e0298227–e0298227. 4 indexed citations
8.
Tian, Lin, et al.. (2024). Multiscale Global Attention for Abnormal Geological Hazard Segmentation. IEEE Sensors Journal. 24(10). 16961–16971. 4 indexed citations
9.
Liu, Huifen, et al.. (2023). Slope Stability Analysis for a Large Hydropower Station in China. Sustainability. 15(4). 3561–3561.
10.
Yan, Jingwen, et al.. (2023). Error-distribution-free kernel extreme learning machine for traffic flow forecasting. Engineering Applications of Artificial Intelligence. 123. 106411–106411. 18 indexed citations
11.
Liu, Shuaiqi, et al.. (2023). An ASD Classification Based on a Pseudo 4D ResNet: Utilizing Spatial and Temporal Convolution. IEEE Systems Man and Cybernetics Magazine. 9(3). 9–18. 3 indexed citations
12.
Gao, Maofang, et al.. (2022). Image Classification of Wheat Rust Based on Ensemble Learning. Sensors. 22(16). 6047–6047. 33 indexed citations
13.
Yan, Jingwen, et al.. (2021). Deep Learning Anti-Fraud Model for Internet Loan: Where We Are Going. IEEE Access. 9. 9777–9784. 22 indexed citations
14.
15.
Yan, Jingwen, Hong Peng, Ying Yu, & Yaozhi Luo. (2019). Compressive sensing of wind speed based on non-convex ℓp-norm sparse regularization optimization for structural health monitoring. Engineering Structures. 194. 346–356. 9 indexed citations
16.
Liu, Lei, Jingwen Yan, Di Guo, Yunsong Liu, & Xiaobo Qu. (2015). Undersampled Hyperspectral Image Reconstruction Based on Surfacelet Transform. Journal of Sensors. 2015. 1–11. 14 indexed citations
17.
Chen, Liang, Jingwen Yan, Shiping Jiang, & Yang Yu. (2013). Development of a soft X-ray microprobe for single cell radiobiology. 《核技术》(英文版). 20(2). 1 indexed citations
18.
Yan, Jingwen. (2011). Face recognition:From 2D to 3D. Computer Engineering and Applications Journal.
19.
Yan, Jingwen. (2011). A Blind Sparsity Reconstruction Algorithm for Compressed Sensing Signal. Dianzi xuebao. 4 indexed citations
20.
Yan, Jingwen. (2010). Theory and Applicaton of Compressive Sensing. Microcomputer applications. 1 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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