Chang Wen

661 total citations
43 papers, 421 citations indexed

About

Chang Wen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Chang Wen has authored 43 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 6 papers in Biomedical Engineering. Recurrent topics in Chang Wen's work include Face recognition and analysis (9 papers), Image and Signal Denoising Methods (7 papers) and Advanced Image Processing Techniques (6 papers). Chang Wen is often cited by papers focused on Face recognition and analysis (9 papers), Image and Signal Denoising Methods (7 papers) and Advanced Image Processing Techniques (6 papers). Chang Wen collaborates with scholars based in China, South Korea and Sweden. Chang Wen's co-authors include Kai Xie, Jianbiao He, Fangqing Wen, Jing Li, Hongming Chen, Dahong Qian, Yize Jiang, Chengtao Li, Atanas Patronov and Yuedong Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Chang Wen

38 papers receiving 401 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chang Wen China 11 218 68 65 47 47 43 421
Maria Valueva Russia 7 116 0.5× 143 2.1× 34 0.5× 34 0.7× 37 0.8× 26 462
Miao Sun China 7 271 1.2× 118 1.7× 45 0.7× 16 0.3× 31 0.7× 12 524
Georgii Valuev Russia 7 94 0.4× 129 1.9× 32 0.5× 26 0.6× 30 0.6× 14 412
Jianwen Wang China 6 181 0.8× 192 2.8× 43 0.7× 13 0.3× 90 1.9× 18 478
Reecha Sharma India 13 188 0.9× 98 1.4× 52 0.8× 8 0.2× 56 1.2× 41 631
Neena Aloysius India 4 152 0.7× 105 1.5× 32 0.5× 9 0.2× 34 0.7× 7 503
Aiman Al-Sabaawi Australia 5 140 0.6× 166 2.4× 40 0.6× 8 0.2× 31 0.7× 10 527
Feng Yu China 13 205 0.9× 58 0.9× 55 0.8× 7 0.1× 37 0.8× 55 444
Hong-Mo Je South Korea 6 191 0.9× 201 3.0× 38 0.6× 22 0.5× 29 0.6× 10 484

Countries citing papers authored by Chang Wen

Since Specialization
Citations

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

Fields of papers citing papers by Chang Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Chang Wen. A scholar is included among the top collaborators of Chang Wen 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 Chang Wen. Chang Wen 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.
Sun, Yali, et al.. (2025). Enhanced Deblurring for Smart Cabinets in Dynamic and Low-Light Scenarios. Electronics. 14(3). 488–488.
3.
Wen, Chang, et al.. (2025). Hybrid CNN-BiGRU-AM Model with Anomaly Detection for Nonlinear Stock Price Prediction. Electronics. 14(7). 1275–1275. 1 indexed citations
4.
Xie, Kai, et al.. (2024). Improved Transformer-Based Deblurring of Commodity Videos in Dynamic Visual Cabinets. Electronics. 13(8). 1440–1440.
5.
Wen, Chang, et al.. (2024). Deep learning based approach: automated gingival inflammation grading model using gingival removal strategy. Scientific Reports. 14(1). 19780–19780. 5 indexed citations
6.
Zhao, Shuyu, et al.. (2024). Attention mechanism-enhanced graph convolutional neural network for unbalanced lithology identification. Scientific Reports. 14(1). 17319–17319. 3 indexed citations
7.
Liu, Yu, et al.. (2024). Study on Landslide Displacement Prediction Considering Inducement under Composite Model Optimization. Electronics. 13(7). 1271–1271. 6 indexed citations
8.
Wen, Chang, et al.. (2024). Research on Evaluation Index System of Low-carbon Existing Communities. 2(1). 248–257. 1 indexed citations
9.
Tang, Miru, et al.. (2023). Discovery of novel A2AR antagonists through deep learning-based virtual screening. SHILAP Revista de lepidopterología. 3. 100058–100058. 7 indexed citations
10.
Xie, Kai, et al.. (2023). Detection of Occluded Small Commodities Based on Feature Enhancement under Super-Resolution. Sensors. 23(5). 2439–2439. 5 indexed citations
11.
Xie, Kai, et al.. (2023). Adaptive occlusion hybrid second-order attention network for head pose estimation. International Journal of Machine Learning and Cybernetics. 15(2). 667–683. 2 indexed citations
12.
Li, Bohao, et al.. (2023). Anomalous Behavior Detection with Spatiotemporal Interaction and Autoencoder Enhancement. Electronics. 12(11). 2438–2438. 1 indexed citations
13.
14.
Zheng, Shuangjia, Yize Jiang, Chengtao Li, et al.. (2022). Structure-Aware Multimodal Deep Learning for Drug–Protein Interaction Prediction. Journal of Chemical Information and Modeling. 62(5). 1308–1317. 47 indexed citations
15.
Tao, Kai, et al.. (2022). Multi-feature fusion prediction of fatigue driving based on improved optical flow algorithm. Signal Image and Video Processing. 17(2). 371–379. 5 indexed citations
16.
Xie, Kai, et al.. (2021). Fast Visualization of 3D Massive Data Based on Improved Hilbert R-Tree and Stacked LSTM Models. IEEE Access. 9. 16266–16278. 3 indexed citations
17.
Xie, Kai, et al.. (2020). Intelligent Assessment of Percutaneous Coronary Intervention Based on GAN and LSTM Models. IEEE Access. 8. 90640–90651. 5 indexed citations
18.
Xie, Kai, et al.. (2020). Weak Signal Enhance Based on the Neural Network Assisted Empirical Mode Decomposition. Sensors. 20(12). 3373–3373. 7 indexed citations
19.
Wen, Chang, et al.. (2018). Face Recognition Using the SR-CNN Model. Sensors. 18(12). 4237–4237. 29 indexed citations
20.
Wen, Chang, et al.. (2015). Long‐distance imaging with frequency modulation continuous wave and inverse synthetic aperture radar. IET Radar Sonar & Navigation. 9(6). 653–659. 5 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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