Nan Su

661 total citations
60 papers, 449 citations indexed

About

Nan Su is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering. According to data from OpenAlex, Nan Su has authored 60 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 26 papers in Media Technology and 17 papers in Aerospace Engineering. Recurrent topics in Nan Su's work include Remote-Sensing Image Classification (20 papers), Remote Sensing and LiDAR Applications (15 papers) and Video Surveillance and Tracking Methods (11 papers). Nan Su is often cited by papers focused on Remote-Sensing Image Classification (20 papers), Remote Sensing and LiDAR Applications (15 papers) and Video Surveillance and Tracking Methods (11 papers). Nan Su collaborates with scholars based in China, Australia and United Kingdom. Nan Su's co-authors include Yiming Yan, Shou Feng, Chunhui Zhao, Chunhui Zhao, Kai Zhao, Zhichao Tan, Hongjiao Liu, Ye Zhang, Shu Tian and Wei Li and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access and Sensors.

In The Last Decade

Nan Su

52 papers receiving 437 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nan Su China 13 222 221 140 70 63 60 449
Yiming Yan China 13 219 1.0× 176 0.8× 139 1.0× 76 1.1× 51 0.8× 82 485
Zhipeng Dong China 13 183 0.8× 193 0.9× 95 0.7× 101 1.4× 38 0.6× 35 450
Minh‐Tan Pham France 11 237 1.1× 184 0.8× 84 0.6× 52 0.7× 37 0.6× 36 416
Hao Cui China 11 177 0.8× 229 1.0× 99 0.7× 80 1.1× 92 1.5× 26 451
Jihao Li China 10 378 1.7× 241 1.1× 124 0.9× 77 1.1× 41 0.7× 33 618
Bai Zhu China 9 350 1.6× 177 0.8× 230 1.6× 40 0.6× 63 1.0× 19 526
Reza Bahmanyar Germany 10 138 0.6× 122 0.6× 47 0.3× 65 0.9× 45 0.7× 29 288
Ken Sakurada Japan 10 242 1.1× 231 1.0× 62 0.4× 45 0.6× 104 1.7× 25 467
Weiwei Sun China 4 237 1.1× 162 0.7× 75 0.5× 64 0.9× 36 0.6× 8 420
Haiqing He China 12 124 0.6× 77 0.3× 127 0.9× 91 1.3× 51 0.8× 40 359

Countries citing papers authored by Nan Su

Since Specialization
Citations

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

Fields of papers citing papers by Nan Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan Su

This figure shows the co-authorship network connecting the top 25 collaborators of Nan Su. A scholar is included among the top collaborators of Nan Su 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 Nan Su. Nan Su 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.
Xu, Congan, et al.. (2025). CMShipReID: A Cross-Modality Ship Dataset for the Reidentification Task. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 10503–10513.
2.
Wang, Xueqing, Shou Feng, Nan Su, et al.. (2025). FCMMA: Fourier Conditional Mask-Based Mixed Attention Method for Hyperspectral Anomaly Detection. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–12. 5 indexed citations
3.
Yan, Yiming, et al.. (2024). SSTNet: A Network Based on Modeling of Semantic-Spatiotemporal Information for Semantic Change Detection of Remote Sensing Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 18365–18378. 1 indexed citations
4.
Su, Nan, Jiayue He, Guangjun He, et al.. (2024). DST-Net: an algorithm based on multi-scale feature for ship target detection in SAR images. IET conference proceedings.. 2023(47). 2101–2108.
5.
Wang, Jinpeng, et al.. (2024). Multi-Modal Object Detection Method Based on Dual-Branch Asymmetric Attention Backbone and Feature Fusion Pyramid Network. Remote Sensing. 16(20). 3904–3904. 5 indexed citations
6.
Xu, Congan, Chunhui Zhao, Long Gao, et al.. (2024). Multimodal Object Detection of UAV Remote Sensing Based on Joint Representation Optimization and Specific Information Enhancement. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 12364–12373. 10 indexed citations
7.
Zhao, Chunhui, et al.. (2024). Assembly Action Recognition based on Dual Stream Fusion of Skeleton and Video Data. 159–165. 1 indexed citations
8.
Chen, Yongqi, Shou Feng, Chunhui Zhao, et al.. (2024). High-Resolution Remote Sensing Image Change Detection Based on Fourier Feature Interaction and Multiscale Perception. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–15. 9 indexed citations
9.
Yan, Yiming, et al.. (2024). IML-Net: A Framework for Cross-View Geo-Localization with Multi-Domain Remote Sensing Data. Remote Sensing. 16(7). 1249–1249. 3 indexed citations
10.
Su, Nan, Zilong Zhao, Yiming Yan, et al.. (2024). MMPW-Net: Detection of Tiny Objects in Aerial Imagery Using Mixed Minimum Point-Wasserstein Distance. Remote Sensing. 16(23). 4485–4485. 4 indexed citations
11.
Yan, Yiming, et al.. (2024). PNBT-CR: A Cloud Removal Method for Ship Detection. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 4 indexed citations
12.
Zhang, Chi, et al.. (2024). FVMD-ISRe: 3-D Reconstruction From Few-View Multidate Satellite Images Based on the Implicit Surface Representation of Neural Radiance Fields. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 3 indexed citations
13.
Zhao, Kai, Hongjiao Liu, Nan Su, et al.. (2023). TMTNet: A Transformer-Based Multimodality Information Transfer Network for Hyperspectral Object Tracking. Remote Sensing. 15(4). 1107–1107. 25 indexed citations
14.
Yan, Yiming, et al.. (2023). Building Extraction at Amodal-Instance- Segmentation Level: Datasets and Framework. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–18. 3 indexed citations
15.
He, Jiayue, Nan Su, Congan Xu, et al.. (2023). A Cross-Modality Feature Transfer Method for Target Detection in SAR Images. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–15. 14 indexed citations
16.
Zhao, Kai, Hongjiao Liu, Nan Su, Lu Wang, & Yiming Yan. (2022). RANet: A Reliability-Guided Aggregation Network for Hyperspectral and RGB Fusion Tracking. Remote Sensing. 14(12). 2765–2765. 11 indexed citations
17.
Yan, Yiming, Wenxuan Wang, Nan Su, & Zilu Wang. (2022). Cross-Dimensional Object-Level Matching Method for Buildings in Airborne Optical Image and LiDAR Point Cloud. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 1 indexed citations
18.
Zhao, Chunhui, Jinpeng Wang, Nan Su, Yiming Yan, & Xiangwei Xing. (2022). Low Contrast Infrared Target Detection Method Based on Residual Thermal Backbone Network and Weighting Loss Function. Remote Sensing. 14(1). 177–177. 16 indexed citations
19.
Yan, Yiming, et al.. (2019). A Novel Data Augmentation Method for Sea Ice Scene Classification of Arctic Aerial Images. IEEE Access. 7. 104241–104249. 1 indexed citations
20.
Tian, Shu, Ye Zhang, Junping Zhang, & Nan Su. (2017). A Novel Deep Embedding Network for Building Shape Recognition. IEEE Geoscience and Remote Sensing Letters. 14(11). 2127–2131. 5 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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