Shengwei Zhong

447 total citations
24 papers, 355 citations indexed

About

Shengwei Zhong is a scholar working on Media Technology, Atmospheric Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shengwei Zhong has authored 24 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Media Technology, 10 papers in Atmospheric Science and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shengwei Zhong's work include Remote-Sensing Image Classification (18 papers), Remote Sensing and Land Use (10 papers) and Advanced Image Fusion Techniques (6 papers). Shengwei Zhong is often cited by papers focused on Remote-Sensing Image Classification (18 papers), Remote Sensing and Land Use (10 papers) and Advanced Image Fusion Techniques (6 papers). Shengwei Zhong collaborates with scholars based in China, United States and Taiwan. Shengwei Zhong's co-authors include Ye Zhang, Chein‐I Chang, Shuhan Chen, Yushi Chen, Di Wu, Bai Xue, Liaoying Zhao, Xiaorun Li, Sheng Wan and Chen Gong and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Pattern Recognition and Remote Sensing.

In The Last Decade

Shengwei Zhong

22 papers receiving 349 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shengwei Zhong China 11 282 155 131 53 41 24 355
Chiru Ge China 9 330 1.2× 158 1.0× 119 0.9× 47 0.9× 32 0.8× 15 388
Xianchang Yang China 10 259 0.9× 105 0.7× 115 0.9× 79 1.5× 37 0.9× 12 357
Lei Tong China 12 328 1.2× 123 0.8× 196 1.5× 45 0.8× 23 0.6× 29 414
Chenhong Sui China 11 270 1.0× 121 0.8× 129 1.0× 40 0.8× 50 1.2× 22 363
Qianming Li China 10 273 1.0× 91 0.6× 129 1.0× 50 0.9× 25 0.6× 14 345
Yunpeng Bai China 11 325 1.2× 227 1.5× 130 1.0× 82 1.5× 50 1.2× 25 455
Shizhen Chang China 9 214 0.8× 89 0.6× 99 0.8× 90 1.7× 27 0.7× 11 310
Qiang Ling China 10 280 1.0× 86 0.6× 112 0.9× 75 1.4× 74 1.8× 26 338
Yanzi Shi China 10 301 1.1× 135 0.9× 118 0.9× 48 0.9× 74 1.8× 17 341

Countries citing papers authored by Shengwei Zhong

Since Specialization
Citations

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

Fields of papers citing papers by Shengwei Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengwei Zhong

This figure shows the co-authorship network connecting the top 25 collaborators of Shengwei Zhong. A scholar is included among the top collaborators of Shengwei Zhong 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 Shengwei Zhong. Shengwei Zhong 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.
Zhong, Shengwei, et al.. (2025). Prototype-Guided Class-Balanced Active Domain Adaptation for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–16.
2.
Shen, Xu, Shengwei Zhong, Hui Li, & Chen Gong. (2025). Spectral–Spatial Attention-Guided Multi-Resolution Network for Pansharpening. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 7559–7571.
3.
Zhong, Shengwei, et al.. (2024). Easy-to-Hard Domain Adaptation With Human Interaction for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–13. 4 indexed citations
4.
Xu, Yongming, et al.. (2024). Domain-Collaborative Contrastive Learning for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 2 indexed citations
5.
Chang, Chein‐I, et al.. (2023). Exploration of Data Scene Characterization and 3D ROC Evaluation for Hyperspectral Anomaly Detection. Remote Sensing. 16(1). 135–135. 20 indexed citations
6.
Niu, Li, Shengwei Zhong, Zhiyu Yang, et al.. (2023). Mask refinement network for tooth segmentation on panoramic radiographs. Dentomaxillofacial Radiology. 53(2). 127–136. 3 indexed citations
7.
Zhang, Cheng, Shengwei Zhong, & Gong Chen. (2022). Feature Integration-Based Training for Cross-Domain Hyperspectral Image Classification. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 10. 3572–3575. 3 indexed citations
8.
Zhong, Shengwei, Tao Zhou, Sheng Wan, Jian Yang, & Chen Gong. (2021). Dynamic Spectral–Spatial Poisson Learning for Hyperspectral Image Classification With Extremely Scarce Labels. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–15. 7 indexed citations
9.
Cui, Jinrong, et al.. (2021). Colorization method of high resolution anime sketch with Pix2PixHD. 1 indexed citations
10.
Zhong, Shengwei, Shuhan Chen, Chein‐I Chang, & Ye Zhang. (2020). Fusion of Spectral–Spatial Classifiers for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 59(6). 5008–5027. 15 indexed citations
11.
Chang, Chein‐I, et al.. (2020). Iterative Random Training Sampling Spectral Spatial Classification for Hyperspectral Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 3986–4007. 17 indexed citations
12.
Zhong, Shengwei & Ye Zhang. (2020). An Iterative Training Sample Updating Approach for Domain Adaptation in Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. 18(10). 1821–1825. 10 indexed citations
13.
Chen, Shuhan, Shengwei Zhong, Bai Xue, et al.. (2020). Iterative Scale-Invariant Feature Transform for Remote Sensing Image Registration. IEEE Transactions on Geoscience and Remote Sensing. 59(4). 3244–3265. 56 indexed citations
14.
Zhong, Shengwei, Chein‐I Chang, Jiaojiao Li, et al.. (2019). Class Feature Weighted Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12(12). 4728–4745. 30 indexed citations
15.
Zhong, Shengwei, Ye Zhang, & Chein‐I Chang. (2019). A Spectral–Spatial Feedback Close Network System for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 57(12). 10056–10069. 14 indexed citations
16.
Xue, Bai, Xiaodi Shang, Shengwei Zhong, Peter Hu, & Chein‐I Chang. (2019). Iterative constrained energy minimization convolutional neural network for hyperspectral image classification. Maryland Shared Open Access Repository (USMAI Consortium). 54–54. 1 indexed citations
17.
Wu, Di, Ye Zhang, Yushi Chen, & Shengwei Zhong. (2018). Vehicle Detection in High-Resolution Images Using Superpixel Segmentation and CNN Iteration Strategy. IEEE Geoscience and Remote Sensing Letters. 16(1). 105–109. 7 indexed citations
18.
Zhong, Shengwei, Chein‐I Chang, & Ye Zhang. (2018). Iterative Support Vector Machine for Hyperspectral Image Classification. 3309–3312. 34 indexed citations
19.
Zhong, Shengwei & Ye Zhang. (2016). Anomaly detection based on quadratic modeling of hyperspectral imagery. 14. 5864–5867. 3 indexed citations
20.
Zhong, Shengwei & Ye Zhang. (2015). A novel anomaly detection approach based on clustering and decision-level fusion. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9611. 961115–961115. 2 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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