Xiangming Jiang

484 total citations
25 papers, 393 citations indexed

About

Xiangming Jiang is a scholar working on Media Technology, Atmospheric Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xiangming Jiang has authored 25 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Media Technology, 12 papers in Atmospheric Science and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xiangming Jiang's work include Remote-Sensing Image Classification (17 papers), Remote Sensing and Land Use (12 papers) and Sparse and Compressive Sensing Techniques (4 papers). Xiangming Jiang is often cited by papers focused on Remote-Sensing Image Classification (17 papers), Remote Sensing and Land Use (12 papers) and Sparse and Compressive Sensing Techniques (4 papers). Xiangming Jiang collaborates with scholars based in China and Hong Kong. Xiangming Jiang's co-authors include Maoguo Gong, Tao Zhan, Hao Li, Mingyang Zhang, Shuwei Li, Yue Wu, Jingjing Ma, Kay Chen Tan, Jun Li and Hao Liu and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Pattern Recognition and Information Sciences.

In The Last Decade

Xiangming Jiang

23 papers receiving 388 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiangming Jiang China 11 252 154 95 93 62 25 393
Akrem Sellami France 11 316 1.3× 205 1.3× 136 1.4× 90 1.0× 41 0.7× 18 562
David Valencia Spain 12 315 1.3× 169 1.1× 146 1.5× 114 1.2× 93 1.5× 40 542
Anyong Qin China 9 353 1.4× 145 0.9× 192 2.0× 115 1.2× 19 0.3× 40 515
Aiye Shi China 11 180 0.7× 112 0.7× 179 1.9× 58 0.6× 42 0.7× 55 455
Yufei Yang China 11 214 0.8× 80 0.5× 95 1.0× 159 1.7× 31 0.5× 26 446
Moumita Roy India 11 169 0.7× 112 0.7× 60 0.6× 119 1.3× 76 1.2× 37 329
Claude Cariou France 10 235 0.9× 104 0.7× 169 1.8× 62 0.7× 54 0.9× 37 411
Yuxi Sun China 10 289 1.1× 168 1.1× 234 2.5× 91 1.0× 42 0.7× 25 606
Xianchang Yang China 10 259 1.0× 115 0.7× 105 1.1× 79 0.8× 18 0.3× 12 357
Shailesh Kumar United States 9 219 0.9× 92 0.6× 170 1.8× 129 1.4× 60 1.0× 20 508

Countries citing papers authored by Xiangming Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Xiangming Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangming Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiangming Jiang. A scholar is included among the top collaborators of Xiangming 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 Xiangming Jiang. Xiangming 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.
Gong, Maoguo, et al.. (2025). A nonlocal superpatch-based reweighted low-rank representation method for hyperspectral unmixing. Knowledge-Based Systems. 330. 114586–114586.
2.
Zhang, Shile, Yuxing Zhao, Zhihan Liu, Xiangming Jiang, & Maoguo Gong. (2025). Dual Collaborative Sparse and Total Variation Regularization for Unmixing-Based Change Detection. IEEE Geoscience and Remote Sensing Letters. 22. 1–5. 1 indexed citations
3.
Jiang, Xiangming, et al.. (2024). Multiobjective sparse unmixing based hyperspectral change detection. Applied Soft Computing. 166. 112160–112160. 2 indexed citations
4.
Fan, Xiaolong, Maoguo Gong, Yue Wu, et al.. (2024). CCGIB: A Cross-Channel Graph Information Bottleneck Principle. IEEE Transactions on Neural Networks and Learning Systems. 36(5). 9488–9499. 5 indexed citations
5.
6.
Zhang, Mingyang, Hao Liu, Maoguo Gong, et al.. (2023). Cross-Domain Self-Taught Network for Few-Shot Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–19. 34 indexed citations
7.
Zhang, Mingyang, Hanhong Zheng, Maoguo Gong, et al.. (2023). Self-structured pyramid network with parallel spatial-channel attention for change detection in VHR remote sensed imagery. Pattern Recognition. 138. 109354–109354. 23 indexed citations
8.
Zhan, Tao, Maoguo Gong, Xiangming Jiang, & Erlei Zhang. (2023). S 3 Net: Superpixel-Guided Self-Supervised Learning Network for Multitemporal Image Change Detection. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 15 indexed citations
9.
Jiang, Xiangming, et al.. (2022). A Vertex-Directed Evolutionary Algorithm for Multiobjective Endmember Estimation. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–13. 3 indexed citations
10.
Jiang, Xiangming, et al.. (2021). Efficient Two-Phase Multiobjective Sparse Unmixing Approach for Hyperspectral Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 2418–2431. 15 indexed citations
11.
Zhan, Tao, Maoguo Gong, Xiangming Jiang, & Wei Zhao. (2021). Transfer Learning-Based Bilinear Convolutional Networks for Unsupervised Change Detection. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 10 indexed citations
12.
Jiang, Xiangming, Maoguo Gong, Tao Zhan, & Hao Li. (2021). Geodesic simplex based multiobjective endmember extraction for nonlinear hyperspectral mixtures. Information Sciences. 577. 398–423. 4 indexed citations
13.
Jiang, Xiangming, Maoguo Gong, Tao Zhan, & Mingyang Zhang. (2020). Multiobjective Endmember Extraction Based on Bilinear Mixture Model. IEEE Transactions on Geoscience and Remote Sensing. 58(11). 8192–8210. 10 indexed citations
14.
Zhan, Tao, Maoguo Gong, Xiangming Jiang, & Mingyang Zhang. (2020). Unsupervised Scale-Driven Change Detection With Deep Spatial–Spectral Features for VHR Images. IEEE Transactions on Geoscience and Remote Sensing. 58(8). 5653–5665. 37 indexed citations
15.
Zhan, Tao, Zedong Tang, Maoguo Gong, Xiangming Jiang, & Jiao Shi. (2018). Decomposition-based multiobjective particle swarm optimization for change detection in SAR images. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 1729–1736. 2 indexed citations
16.
Gong, Maoguo, Xiangming Jiang, Hao Li, & Kay Chen Tan. (2018). Multiobjective Sparse Non-Negative Matrix Factorization. IEEE Transactions on Cybernetics. 49(8). 2941–2954. 29 indexed citations
17.
Zhan, Tao, Maoguo Gong, Xiangming Jiang, & Shuwei Li. (2018). Log-Based Transformation Feature Learning for Change Detection in Heterogeneous Images. IEEE Geoscience and Remote Sensing Letters. 15(9). 1352–1356. 85 indexed citations
18.
Jiang, Xiangming, Maoguo Gong, Tao Zhan, & Zedong Tang. (2018). Multiobjective sparse unmixing approach with noise removal. Proceedings of the Genetic and Evolutionary Computation Conference. 681–688. 1 indexed citations
19.
Shi, Jiao, et al.. (2018). A multi-objective memetic algorithm for low rank and sparse matrix decomposition. Information Sciences. 468. 172–192. 10 indexed citations
20.
Gong, Maoguo, Hao Li, & Xiangming Jiang. (2016). A multi-objective optimization framework for ill-posed inverse problems. CAAI Transactions on Intelligence Technology. 1(3). 225–240. 19 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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