Xinyu Wang

3.4k total citations · 2 hit papers
96 papers, 2.5k citations indexed

About

Xinyu Wang is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Atmospheric Science. According to data from OpenAlex, Xinyu Wang has authored 96 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Media Technology, 27 papers in Computer Vision and Pattern Recognition and 22 papers in Atmospheric Science. Recurrent topics in Xinyu Wang's work include Remote-Sensing Image Classification (53 papers), Advanced Image Fusion Techniques (25 papers) and Remote Sensing and Land Use (21 papers). Xinyu Wang is often cited by papers focused on Remote-Sensing Image Classification (53 papers), Advanced Image Fusion Techniques (25 papers) and Remote Sensing and Land Use (21 papers). Xinyu Wang collaborates with scholars based in China, South Korea and Finland. Xinyu Wang's co-authors include Yanfei Zhong, Liangpei Zhang, Xin Hu, Shaoyu Wang, Ji Zhao, Chang Luo, Yanyan Xu, Liangpei Zhang, Xing Huang and Quansheng Liu and has published in prestigious journals such as Remote Sensing of Environment, Nature Methods and Scientific Reports.

In The Last Decade

Xinyu Wang

85 papers receiving 2.5k citations

Hit Papers

WHU-Hi: UAV-borne hyperspectral with high spatial resolut... 2020 2026 2022 2024 2020 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinyu Wang China 24 1.6k 774 605 439 297 96 2.5k
Wei Han China 27 806 0.5× 421 0.5× 653 1.1× 477 1.1× 313 1.1× 106 2.2k
Jefersson A. dos Santos Brazil 21 1.4k 0.9× 541 0.7× 1.3k 2.2× 522 1.2× 458 1.5× 109 2.7k
Rubén Fernández-Beltrán Spain 22 1.8k 1.2× 800 1.0× 1.1k 1.9× 287 0.7× 260 0.9× 68 2.5k
Ji Zhao China 24 1.3k 0.8× 748 1.0× 562 0.9× 490 1.1× 188 0.6× 65 2.3k
Jian Kang China 22 946 0.6× 392 0.5× 736 1.2× 200 0.5× 228 0.8× 91 2.1k
Nicolas H. Younan United States 21 1.3k 0.8× 358 0.5× 901 1.5× 402 0.9× 308 1.0× 177 2.5k
Κωνσταντίνος Καράντζαλος Greece 28 1.3k 0.8× 681 0.9× 659 1.1× 554 1.3× 271 0.9× 115 2.6k
Farhad Samadzadegan Iran 27 776 0.5× 349 0.5× 460 0.8× 329 0.7× 242 0.8× 128 1.9k
Michele Volpi Switzerland 22 1.4k 0.9× 712 0.9× 766 1.3× 606 1.4× 520 1.8× 61 2.4k
Liguo Wang China 27 1.8k 1.1× 1.0k 1.3× 780 1.3× 399 0.9× 289 1.0× 226 2.7k

Countries citing papers authored by Xinyu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xinyu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinyu Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xinyu Wang. A scholar is included among the top collaborators of Xinyu 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 Xinyu Wang. Xinyu 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.
Lei, Lei, et al.. (2025). FineCrop: Mapping fine-grained crops using class-aware feature decoupling and parcel-aware class rebalancing with Sentinel-2 time series. ISPRS Journal of Photogrammetry and Remote Sensing. 228. 785–803. 1 indexed citations
2.
Sun, Chen, et al.. (2025). NOT-156: Night Object Tracking Using Low-Light and Thermal Infrared: From Multimodal Common-Aperture Camera to Benchmark Datasets. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–11.
3.
Yang, Xiaomeng, Lei Lei, Dingming Zhang, et al.. (2025). Noninvasive Oral Hyperspectral Imaging–Driven Digital Diagnosis of Heart Failure With Preserved Ejection Fraction: Model Development and Validation Study. Journal of Medical Internet Research. 27. e67256–e67256. 1 indexed citations
4.
Wang, Xinyu, et al.. (2025). WHU-RuR+: A benchmark dataset for global high-resolution rural road extraction. International Journal of Applied Earth Observation and Geoinformation. 139. 104518–104518. 2 indexed citations
5.
Chen, Ting, et al.. (2024). Adapting the segment anything model for multi-modal retinal anomaly detection and localization. Information Fusion. 113. 102631–102631. 3 indexed citations
6.
Tian, Ke, et al.. (2024). Mineral detection based on hyperspectral remote sensing imagery on Mars: From detection methods to fine mapping. ISPRS Journal of Photogrammetry and Remote Sensing. 218. 761–780. 5 indexed citations
8.
Zhong, Yanfei, et al.. (2024). A Deep Temporal-Spectral–Spatial Anchor-Free Siamese Tracking Network for Hyperspectral Video Object Tracking. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–16. 11 indexed citations
9.
Wang, Xinyu, et al.. (2024). Unsupervised Adaptation Learning for Real Multiplatform Hyperspectral Image Denoising. IEEE Transactions on Cybernetics. 54(10). 5781–5794. 3 indexed citations
10.
Wang, Xinyu, et al.. (2024). A Channel Adaptive Dual Siamese Network for Hyperspectral Object Tracking. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–12. 10 indexed citations
11.
Wang, Xinyu, Le Sun, Chuhan Lu, & Baozhu Li. (2024). A Novel Transformer Network with a CNN-Enhanced Cross-Attention Mechanism for Hyperspectral Image Classification. Remote Sensing. 16(7). 1180–1180. 17 indexed citations
12.
Wang, Xinyu, et al.. (2024). PU-KBS: A Robust Positive and Unlabeled Learning Framework With Key Band Selection for One-Class Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–15. 3 indexed citations
13.
Wang, Sheng, Ling-Hui Chen, Xinyu Wang, et al.. (2024). De novo protein design with a denoising diffusion network independent of pretrained structure prediction models. Nature Methods. 21(11). 2107–2116. 17 indexed citations
14.
Wang, Xinyu, et al.. (2024). A Self-Supervised Spaceborne Multispectral and Hyperspectral Image Fusion Unrolling Network. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–12. 4 indexed citations
15.
Sun, Chen, et al.. (2023). SiamOHOT: A Lightweight Dual Siamese Network for Onboard Hyperspectral Object Tracking via Joint Spatial-Spectral Knowledge Distillation. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–12. 32 indexed citations
16.
Wang, Xinyu, et al.. (2023). Attention in Attention for Hyperspectral With High Spatial Resolution (H) Image Classification . IEEE Transactions on Geoscience and Remote Sensing. 62. 1–13. 6 indexed citations
17.
Wang, Xinyu, et al.. (2022). SiamHYPER: Learning a Hyperspectral Object Tracker From an RGB-Based Tracker. IEEE Transactions on Image Processing. 31. 7116–7129. 60 indexed citations
18.
Wang, Xinyu, et al.. (2021). A Self-Supervised Denoising Network for Satellite-Airborne-Ground Hyperspectral Imagery. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–16. 21 indexed citations
19.
Zhong, Yanfei, et al.. (2021). Unsupervised Deep Hyperspectral Video Target Tracking and High Spectral-Spatial-Temporal Resolution (H³) Benchmark Dataset. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–14. 27 indexed citations
20.
Wang, Xinyu, et al.. (2020). Autonomous Endmember Detection via an Abundance Anomaly Guided Saliency Prior for Hyperspectral Imagery. IEEE Transactions on Geoscience and Remote Sensing. 59(3). 2336–2351. 7 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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