Xinwei Jiang

3.7k total citations · 1 hit paper
53 papers, 2.8k citations indexed

About

Xinwei Jiang is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Atmospheric Science. According to data from OpenAlex, Xinwei Jiang has authored 53 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Media Technology, 22 papers in Computer Vision and Pattern Recognition and 13 papers in Atmospheric Science. Recurrent topics in Xinwei Jiang's work include Remote-Sensing Image Classification (29 papers), Advanced Image Fusion Techniques (15 papers) and Remote Sensing and Land Use (13 papers). Xinwei Jiang is often cited by papers focused on Remote-Sensing Image Classification (29 papers), Advanced Image Fusion Techniques (15 papers) and Remote Sensing and Land Use (13 papers). Xinwei Jiang collaborates with scholars based in China, Macao and Australia. Xinwei Jiang's co-authors include Yaguo Lei, Naipeng Li, Asoke K. Nandi, Bin Yang, Feng Jia, Yongshan Zhang, Junjun Jiang, Zhihua Cai, Chen Chen and Jiayi Ma and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Sensors and ACM Transactions on Graphics.

In The Last Decade

Xinwei Jiang

49 papers receiving 2.7k citations

Hit Papers

Applications of machine learning to machine fault diagnos... 2020 2026 2022 2024 2020 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinwei Jiang China 18 1.6k 936 549 526 446 53 2.8k
Teng Li China 24 870 0.5× 583 0.6× 349 0.6× 112 0.2× 435 1.0× 119 2.4k
Viktor Slavkovikj Belgium 8 830 0.5× 596 0.6× 380 0.7× 108 0.2× 216 0.5× 10 1.4k
Minghang Zhao China 24 1.8k 1.1× 1.1k 1.2× 569 1.0× 59 0.1× 509 1.1× 59 3.0k
Peng Ding China 24 1.2k 0.7× 696 0.7× 304 0.6× 103 0.2× 407 0.9× 103 2.1k
Zhaohui Jiang China 22 430 0.3× 545 0.6× 164 0.3× 116 0.2× 147 0.3× 181 1.6k
Pengfei Liang China 23 1.3k 0.8× 722 0.8× 468 0.9× 37 0.1× 391 0.9× 64 2.1k
Huayue Chen China 17 600 0.4× 317 0.3× 179 0.3× 69 0.1× 433 1.0× 35 1.5k
Kun Yu China 25 1.6k 1.0× 1.1k 1.2× 546 1.0× 69 0.1× 290 0.7× 83 2.4k
Changan Zhu China 28 847 0.5× 805 0.9× 366 0.7× 215 0.4× 292 0.7× 122 2.8k
Jinhai Liu China 32 569 0.4× 1.4k 1.5× 785 1.4× 61 0.1× 590 1.3× 225 3.4k

Countries citing papers authored by Xinwei Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Xinwei Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinwei Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Xinwei Jiang. A scholar is included among the top collaborators of Xinwei Jiang 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 Xinwei Jiang. Xinwei Jiang 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.
Zhang, Yongshan, et al.. (2025). Elastic Graph Fusion Subspace Clustering for Large Hyperspectral Image. IEEE Transactions on Circuits and Systems for Video Technology. 35(7). 6300–6312. 4 indexed citations
2.
Zhang, Yongshan, et al.. (2025). Lossless Compression Framework Using Lossy Prior for High-Resolution Remote Sensing Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 8590–8601. 1 indexed citations
3.
Jiang, Xinwei, Xinyi Liu, Bin Chen, et al.. (2025). Jasmonic acid-mediated cell wall biosynthesis pathway involved in pepper (Capsicum annuum) defense response to Ralstonia solanacearum. BMC Plant Biology. 25(1). 804–804. 1 indexed citations
4.
Ma, Ziyang, et al.. (2025). Multiscale Memory Autoencoder and Spatial Filtering for Hyperspectral Anomaly Detection. IEEE Geoscience and Remote Sensing Letters. 22. 1–5.
5.
Zhang, Yongshan, et al.. (2024). Stacked Graph Fusion Denoising Autoencoder for Hyperspectral Anomaly Detection. IEEE Geoscience and Remote Sensing Letters. 21. 1–5.
6.
Zhang, Yongshan, et al.. (2024). Dual Graph Learning Affinity Propagation for Multimodal Remote Sensing Image Clustering. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–13. 15 indexed citations
7.
Zhang, Yongshan, et al.. (2024). Structured Anchor Learning for Large-Scale Hyperspectral Image Projected Clustering. IEEE Transactions on Circuits and Systems for Video Technology. 35(3). 2328–2340. 4 indexed citations
8.
Lu, Pengyu, Xinwei Jiang, Yongshan Zhang, et al.. (2023). Spectral–Spatial and Superpixelwise Unsupervised Linear Discriminant Analysis for Feature Extraction and Classification of Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–15. 22 indexed citations
9.
Li, Jiang, et al.. (2023). Metric learning and local enhancement based collaborative representation for hyperspectral image classification. Multimedia Tools and Applications. 83(14). 42459–42484. 2 indexed citations
10.
Cai, Yaoming, Zijia Zhang, Zhihua Cai, Xiaobo Liu, & Xinwei Jiang. (2021). Hypergraph-Structured Autoencoder for Unsupervised and Semisupervised Classification of Hyperspectral Image. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 40 indexed citations
11.
Jiang, Xinwei, et al.. (2021). Spectral–Spatial and Superpixelwise PCA for Unsupervised Feature Extraction of Hyperspectral Imagery. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–10. 72 indexed citations
12.
Cai, Yaoming, et al.. (2020). Sparse Feature Learning of Hyperspectral Imagery via Multiobjective-Based Extreme Learning Machine. Sensors. 20(5). 1262–1262. 11 indexed citations
13.
Jiang, Junjun, et al.. (2018). Trilateral Smooth Filtering for Hyperspectral Image Feature Extraction. IEEE Geoscience and Remote Sensing Letters. 16(5). 781–785. 10 indexed citations
14.
Zhang, Tiankui, et al.. (2018). Cache Space Efficient Caching Scheme for Content-Centric Mobile Ad Hoc Networks. IEEE Systems Journal. 13(1). 530–541. 25 indexed citations
15.
Jiang, Xinwei, et al.. (2018). Laplacian Regularized Spatial-Aware Collaborative Graph for Discriminant Analysis of Hyperspectral Imagery. Remote Sensing. 11(1). 29–29. 20 indexed citations
16.
Li, Dong, Shan Liu, Xinwei Jiang, & Chen Gui. (2018). Stacking Objects Picking System Based on Structured Light. 8. 174–179. 3 indexed citations
17.
Jiang, Xinwei, et al.. (2017). Supervised Gaussian Process Latent Variable Model for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. 14(10). 1760–1764. 15 indexed citations
18.
Jiang, Junjun, Chen Chen, Yi Yu, Xinwei Jiang, & Jiayi Ma. (2017). Spatial-Aware Collaborative Representation for Hyperspectral Remote Sensing Image Classification. IEEE Geoscience and Remote Sensing Letters. 14(3). 404–408. 72 indexed citations
19.
Hong, Xia, Junbin Gao, Xinwei Jiang, & C.J. Harris. (2014). Fast identification algorithms for Gaussian process model. Neurocomputing. 133. 25–31. 2 indexed citations
20.
Jiang, Xinwei, Junbin Gao, Tianjiang Wang, & Lihong Zheng. (2012). Supervised Latent Linear Gaussian Process Latent Variable Model for Dimensionality Reduction. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 42(6). 1620–1632. 22 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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