Jiangfan Feng

712 total citations
63 papers, 446 citations indexed

About

Jiangfan Feng is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Jiangfan Feng has authored 63 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Vision and Pattern Recognition, 19 papers in Media Technology and 16 papers in Artificial Intelligence. Recurrent topics in Jiangfan Feng's work include Remote-Sensing Image Classification (18 papers), Advanced Image and Video Retrieval Techniques (16 papers) and Video Surveillance and Tracking Methods (11 papers). Jiangfan Feng is often cited by papers focused on Remote-Sensing Image Classification (18 papers), Advanced Image and Video Retrieval Techniques (16 papers) and Video Surveillance and Tracking Methods (11 papers). Jiangfan Feng collaborates with scholars based in China, India and Japan. Jiangfan Feng's co-authors include Ying Xia, Jin Tao, Xu Zhang, Zhujun Gu, Yanhong Liu, Xinxin Xiao, Yidong Peng, Li‐Xin Hu, Xiaobo Luo and Dini Wang and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Jiangfan Feng

52 papers receiving 432 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiangfan Feng China 11 179 134 89 54 39 63 446
Guilu Wu China 8 104 0.6× 120 0.9× 46 0.5× 85 1.6× 19 0.5× 34 500
Abdallah Zeggada Italy 6 246 1.4× 94 0.7× 100 1.1× 29 0.5× 150 3.8× 12 473
Zonglin Meng United States 10 220 1.2× 103 0.8× 39 0.4× 42 0.8× 90 2.3× 13 651
Jiangjiang Wu China 12 96 0.5× 76 0.6× 97 1.1× 66 1.2× 74 1.9× 36 423
Konstantinos Ioannidis Greece 13 161 0.9× 57 0.4× 54 0.6× 44 0.8× 70 1.8× 31 556
S. S. Bedi India 11 224 1.3× 142 1.1× 85 1.0× 36 0.7× 16 0.4× 41 578
Haitao Xu China 11 140 0.8× 70 0.5× 43 0.5× 49 0.9× 36 0.9× 29 547
Libin Jiao China 13 146 0.8× 94 0.7× 82 0.9× 86 1.6× 16 0.4× 47 439
Honglin Wu China 10 185 1.0× 63 0.5× 151 1.7× 15 0.3× 34 0.9× 28 406

Countries citing papers authored by Jiangfan Feng

Since Specialization
Citations

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

Fields of papers citing papers by Jiangfan Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiangfan Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Jiangfan Feng. A scholar is included among the top collaborators of Jiangfan Feng 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 Jiangfan Feng. Jiangfan Feng 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.
Feng, Jiangfan, et al.. (2025). A Review of Artificial Intelligence and Remote Sensing for Marine Oil Spill Detection, Classification, and Thickness Estimation. Remote Sensing. 17(22). 3681–3681. 1 indexed citations
2.
Feng, Jiangfan, et al.. (2025). A novel deep learning approach for high-precision rainfall intensity inversion using urban surveillance audio. Advances in Space Research. 77(2). 1648–1663.
3.
4.
Han, Linbo, et al.. (2024). Classify breast cancer pathological tissue images using multi-scale bar convolution pooling structure with patch attention. Biomedical Signal Processing and Control. 96. 106607–106607. 2 indexed citations
5.
Xia, Ying, et al.. (2024). Transformer With Feature Interaction and Fusion for Remote Sensing Image Change Detection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 15407–15419. 3 indexed citations
6.
Feng, Jiangfan, et al.. (2024). SAGPNet: A shape-aware and adaptive strip self-attention guided progressive network for SAR marine oil spill detection. Marine Environmental Research. 204. 106904–106904. 3 indexed citations
7.
Feng, Jiangfan, et al.. (2024). SGDBNet: A scene-class guided dual branch network for port UAV images oil spill detection. Marine Pollution Bulletin. 208. 117019–117019. 6 indexed citations
8.
Feng, Jiangfan, et al.. (2024). Improving semi-supervised remote sensing scene classification via Multilevel Feature Fusion and pseudo-labeling. International Journal of Applied Earth Observation and Geoinformation. 136. 104335–104335.
9.
Feng, Jiangfan, et al.. (2024). A Novel Multiscale Contrastive Learning Network for Fine-Grained Ocean Ship Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 9989–10005. 6 indexed citations
10.
Feng, Jiangfan, et al.. (2024). Dual-resolution guided multiscale network for land cover semantic change detection. Journal of Applied Remote Sensing. 18(4).
11.
Feng, Jiangfan, et al.. (2023). A progressive deep learning framework for fine-grained primate behavior recognition. Applied Animal Behaviour Science. 269. 106099–106099. 4 indexed citations
12.
Feng, Jiangfan, et al.. (2023). MDSNet: a multiscale decoupled supervision network for semantic segmentation of remote sensing images. International Journal of Digital Earth. 16(1). 2844–2861. 3 indexed citations
13.
Xia, Ying, et al.. (2023). A Novel Building Extraction Network via Multi-Scale Foreground Modeling and Gated Boundary Refinement. Remote Sensing. 15(24). 5638–5638. 2 indexed citations
14.
Feng, Jiangfan, et al.. (2023). Multi-scale semantic enhancement network for object detection. Scientific Reports. 13(1). 7178–7178. 4 indexed citations
15.
Feng, Jiangfan, et al.. (2022). Cross-language lipreading by reconstructing Spatio-Temporal relations in 3D convolution. Displays. 76. 102357–102357. 2 indexed citations
16.
Feng, Jiangfan, Dini Wang, & Li Zhang. (2022). Crowd Anomaly Detection via Spatial Constraints and Meaningful Perturbation. ISPRS International Journal of Geo-Information. 11(3). 205–205. 8 indexed citations
17.
Feng, Jiangfan, et al.. (2014). Multimedia Fusion for Public Security in Heterogeneous Sensor Networks. Journal of Sensors. 2014. 1–12.
18.
Feng, Jiangfan, et al.. (2014). Multiple Spatial Model Fusion in Heterogeneous Sensor Networks. International Journal of Multimedia and Ubiquitous Engineering. 9(2). 1–14. 2 indexed citations
19.
Feng, Jiangfan & Yanhong Liu. (2013). Research and Application on Data Stream Management System of Expressway Real-Time Monitoring System. International Review on Computers and Software (IRECOS). 8(1). 282–286. 1 indexed citations
20.
Feng, Jiangfan, et al.. (2013). Intelligent Analysis for Georeferenced Video Using Context-Based Random Graphs. International Journal of Distributed Sensor Networks. 9(5). 158569–158569. 1 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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