Fenlong Jiang

735 total citations
30 papers, 541 citations indexed

About

Fenlong Jiang is a scholar working on Media Technology, Atmospheric Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Fenlong Jiang has authored 30 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Media Technology, 12 papers in Atmospheric Science and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Fenlong Jiang's work include Remote-Sensing Image Classification (21 papers), Remote Sensing and Land Use (12 papers) and Automated Road and Building Extraction (4 papers). Fenlong Jiang is often cited by papers focused on Remote-Sensing Image Classification (21 papers), Remote Sensing and Land Use (12 papers) and Automated Road and Building Extraction (4 papers). Fenlong Jiang collaborates with scholars based in China, Australia and Hong Kong. Fenlong Jiang's co-authors include Maoguo Gong, Tongfei Liu, Mingyang Zhang, Hanhong Zheng, Di Lu, Tao Zhan, Qingfu Zhang, Hao Li, Xiaolong Fan and A. K. Qin and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

Fenlong Jiang

26 papers receiving 533 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fenlong Jiang China 12 399 262 117 115 98 30 541
Mi Zhang China 10 369 0.9× 230 0.9× 143 1.2× 144 1.3× 65 0.7× 32 527
Shuli Cheng China 10 432 1.1× 251 1.0× 171 1.5× 123 1.1× 76 0.8× 25 612
Hang Fu China 11 416 1.0× 230 0.9× 150 1.3× 75 0.7× 58 0.6× 28 553
Chao Pang China 9 407 1.0× 291 1.1× 87 0.7× 193 1.7× 73 0.7× 16 594
Peifang Deng China 7 395 1.0× 198 0.8× 247 2.1× 85 0.7× 64 0.7× 11 481
Kejie Xu China 9 541 1.4× 283 1.1× 358 3.1× 107 0.9× 84 0.9× 16 662
Krishna Mohan Buddhiraju India 14 362 0.9× 183 0.7× 229 2.0× 92 0.8× 86 0.9× 78 608
L. Carlin Italy 5 349 0.9× 198 0.8× 133 1.1× 116 1.0× 56 0.6× 7 436
Pan Chen China 10 333 0.8× 223 0.9× 66 0.6× 125 1.1× 60 0.6× 25 437

Countries citing papers authored by Fenlong Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Fenlong Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fenlong Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Fenlong Jiang. A scholar is included among the top collaborators of Fenlong 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 Fenlong Jiang. Fenlong 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.
Liu, Tongfei, Mingyang Zhang, Maoguo Gong, et al.. (2025). Commonality Feature Representation Learning for Unsupervised Multimodal Change Detection. IEEE Transactions on Image Processing. 34. 1219–1233. 11 indexed citations
2.
Zhang, Mingyang, et al.. (2025). Meta-Collaborative Learning for Arbitrarily Scaled Hyperspectral Image Super-Resolution. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–18.
3.
Jiang, Fenlong, Mingyang Zhang, Maoguo Gong, et al.. (2025). Adaptive Center-Focused Hybrid Attention Network for Change Detection in Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–16. 3 indexed citations
4.
Gong, Maoguo, et al.. (2025). SPCNet: Deep Self-Paced Curriculum Network Incorporated With Inductive Bias. IEEE Transactions on Neural Networks and Learning Systems. 36(8). 15029–15042. 1 indexed citations
5.
Jiang, Fenlong, et al.. (2025). D3PM: Dual-Stream Denoising Diffusion Probabilistic Model for Change Detection in Multimodal Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–15. 1 indexed citations
6.
Gong, Maoguo, et al.. (2025). A nonlocal superpatch-based reweighted low-rank representation method for hyperspectral unmixing. Knowledge-Based Systems. 330. 114586–114586.
7.
Jiang, Xiangming, et al.. (2024). Multiobjective sparse unmixing based hyperspectral change detection. Applied Soft Computing. 166. 112160–112160. 2 indexed citations
8.
Zheng, Hanhong, Mingyang Zhang, Maoguo Gong, et al.. (2024). Multi-scale hierarchical feature fusion network for change detection. Pattern Recognition. 161. 111266–111266. 7 indexed citations
9.
Jiang, Fenlong, Bo Huang, Husheng Wu, et al.. (2024). Change Masked Modality Alignment Network for Multimodal Change Detection. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–16. 5 indexed citations
10.
Gong, Maoguo, et al.. (2024). Adversarial Feature Equilibrium Network for Multimodal Change Detection in Heterogeneous Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–17. 8 indexed citations
11.
Zhang, Mingyang, et al.. (2024). Spatial-Spectral Aggregation Transformer With Diffusion Prior for Hyperspectral Image Super-Resolution. IEEE Transactions on Circuits and Systems for Video Technology. 35(4). 3557–3572. 3 indexed citations
12.
Jiang, Fenlong, et al.. (2024). MSTrans: Multi-Scale Transformer for Building Extraction from HR Remote Sensing Images. Electronics. 13(23). 4610–4610.
13.
14.
Jiang, Fenlong, Maoguo Gong, Hanhong Zheng, et al.. (2023). Self-Supervised Global–Local Contrastive Learning for Fine-Grained Change Detection in VHR Images. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–13. 28 indexed citations
15.
Zheng, Hanhong, Dongyang Li, Mingyang Zhang, et al.. (2023). Spectral Knowledge Transfer for Remote Sensing Change Detection. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–16. 3 indexed citations
16.
Jiang, Fenlong, et al.. (2022). MSGATN: A Superpixel-Based Multi-Scale Siamese Graph Attention Network for Change Detection in Remote Sensing Images. Applied Sciences. 12(10). 5158–5158. 15 indexed citations
17.
Gao, Yuan, et al.. (2022). Breaking Hardware Boundaries of IoT Devices via Inverse Feature Completion. IEEE Internet of Things Journal. 10(6). 5519–5529. 1 indexed citations
18.
Zheng, Hanhong, Maoguo Gong, Tongfei Liu, et al.. (2022). HFA-Net: High frequency attention siamese network for building change detection in VHR remote sensing images. Pattern Recognition. 129. 108717–108717. 114 indexed citations
19.
Gong, Maoguo, Fenlong Jiang, A. K. Qin, et al.. (2021). A Spectral and Spatial Attention Network for Change Detection in Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–14. 63 indexed citations
20.
Liu, Tongfei, Maoguo Gong, Di Lu, et al.. (2021). Building Change Detection for VHR Remote Sensing Images via Local–Global Pyramid Network and Cross-Task Transfer Learning Strategy. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–17. 102 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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