Quansen Sun

6.8k total citations · 1 hit paper
266 papers, 5.0k citations indexed

About

Quansen Sun is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Quansen Sun has authored 266 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 226 papers in Computer Vision and Pattern Recognition, 88 papers in Media Technology and 46 papers in Artificial Intelligence. Recurrent topics in Quansen Sun's work include Face and Expression Recognition (84 papers), Advanced Image and Video Retrieval Techniques (64 papers) and Remote-Sensing Image Classification (58 papers). Quansen Sun is often cited by papers focused on Face and Expression Recognition (84 papers), Advanced Image and Video Retrieval Techniques (64 papers) and Remote-Sensing Image Classification (58 papers). Quansen Sun collaborates with scholars based in China, Australia and United States. Quansen Sun's co-authors include Xia De-shen, Zexuan Ji, Zhenwen Ren, Xiaobo Shen, Yunhao Yuan, Pheng‐Ann Heng, Li Wang, Yan Liu, Qiang Chen and Chunming Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Quansen Sun

252 papers receiving 4.9k citations

Hit Papers

Active contours driven by local and global intensity fitt... 2009 2026 2014 2020 2009 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Quansen Sun China 37 3.8k 1.3k 1.2k 355 298 266 5.0k
Baochang Zhang China 41 5.5k 1.5× 2.4k 1.8× 908 0.8× 632 1.8× 190 0.6× 228 7.3k
Chao Xu China 32 3.9k 1.0× 2.2k 1.7× 969 0.8× 248 0.7× 287 1.0× 131 5.4k
Chi‐Man Pun Macao 36 4.4k 1.2× 1.2k 0.9× 1.2k 1.0× 304 0.9× 107 0.4× 302 5.7k
Jiangshe Zhang China 34 2.1k 0.5× 1.0k 0.8× 1.7k 1.4× 166 0.5× 196 0.7× 169 4.0k
Xiao Bai China 40 2.9k 0.8× 1.5k 1.1× 973 0.8× 168 0.5× 363 1.2× 161 4.9k
Chang Tang China 39 3.9k 1.0× 2.3k 1.8× 1.3k 1.1× 192 0.5× 277 0.9× 168 5.6k
Changqing Zhang China 46 5.3k 1.4× 3.4k 2.6× 1.3k 1.1× 323 0.9× 701 2.4× 101 7.5k
Hao Tang China 34 2.8k 0.7× 721 0.6× 734 0.6× 222 0.6× 178 0.6× 192 4.1k
Dapeng Tao China 45 3.8k 1.0× 1.2k 1.0× 884 0.7× 300 0.8× 221 0.7× 198 5.0k
Ruiping Wang China 34 3.9k 1.0× 1.3k 1.0× 714 0.6× 518 1.5× 235 0.8× 120 5.6k

Countries citing papers authored by Quansen Sun

Since Specialization
Citations

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

Fields of papers citing papers by Quansen Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quansen Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Quansen Sun. A scholar is included among the top collaborators of Quansen Sun 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 Quansen Sun. Quansen Sun 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.
Li, Guannan, Zexuan Ji, & Quansen Sun. (2024). Deep Multi-Instance Conv-Transformer Frameworks for Landmark-Based Brain MRI Classification. Electronics. 13(5). 980–980. 6 indexed citations
2.
Shen, Xiaobo, et al.. (2024). Graph Convolutional Multi-Label Hashing for Cross-Modal Retrieval. IEEE Transactions on Neural Networks and Learning Systems. 36(5). 7997–8009. 3 indexed citations
3.
Sun, Quansen, et al.. (2023). Cross-scale collaborative network for single image super resolution. Expert Systems with Applications. 229. 120392–120392. 9 indexed citations
4.
Wang, Hongyuan, et al.. (2023). CSANet: Cross-self attention guided by semantic click embedding for interactive segmentation. Engineering Applications of Artificial Intelligence. 130. 107723–107723. 2 indexed citations
5.
Sun, Quansen, et al.. (2023). Only Once Attack: Fooling the Tracker With Adversarial Template. IEEE Transactions on Circuits and Systems for Video Technology. 33(7). 3173–3184. 16 indexed citations
6.
Sun, Quansen, et al.. (2023). Attacking the tracker with a universal and attractive patch as fake target. Information Sciences. 650. 119677–119677. 1 indexed citations
7.
Sun, Quansen, et al.. (2023). Unit Correlation With Interactive Feature for Robust and Effective Tracking. IEEE Transactions on Multimedia. 26. 4242–4254. 3 indexed citations
8.
Wang, Tao, Haochen Li, Yuhui Zheng, & Quansen Sun. (2023). One-Click-Based Perception for Interactive Image Segmentation. IEEE Transactions on Neural Networks and Learning Systems. 35(10). 13975–13989. 5 indexed citations
9.
Sun, Quansen, et al.. (2022). Regression-Selective Feature-Adaptive Tracker for Visual Object Tracking. IEEE Transactions on Multimedia. 25. 5444–5457. 9 indexed citations
10.
Ji, Zexuan, et al.. (2020). Complex-Valued Spatial-Scattering Separated Attention Network for Polsar Image Classification. 1723–1726. 11 indexed citations
11.
Sun, Quansen, et al.. (2020). Low-Rank Hypergraph Hashing for Large-Scale Remote Sensing Image Retrieval. Remote Sensing. 12(7). 1164–1164. 9 indexed citations
12.
Wang, Tao, et al.. (2020). Interactive Image Segmentation Based on Label Pair Diffusion. IEEE Transactions on Industrial Informatics. 17(1). 135–146. 5 indexed citations
13.
Yuan, Yunhao, Xiaobo Shen, Yun Li, et al.. (2019). Composite nonlinear multiset canonical correlation analysis for multiview feature learning and recognition. Concurrency and Computation Practice and Experience. 33(15). 3 indexed citations
14.
Shen, Xiaobo, Weiwei Liu, Ivor W. Tsang, Quansen Sun, & Yew-Soon Ong. (2017). Multilabel Prediction via Cross-View Search. IEEE Transactions on Neural Networks and Learning Systems. 29(9). 4324–4338. 64 indexed citations
15.
Fu, Peng, Quansen Sun, & Zexuan Ji. (2015). Noise Estimation from Remote Sensing Images by Fractal Theory and Adaptive Image Block Division. SHILAP Revista de lepidopterología. 2 indexed citations
16.
Xu, Mengxi, et al.. (2015). Nearest-Neighbors Based Weighted Method for the BOVW Applied to Image Classification. Journal of Electrical Engineering and Technology. 10(4). 1877–1885. 1 indexed citations
17.
Shen, Xiaobo, Quansen Sun, & Yunhao Yuan. (2013). Orthogonal canonical correlation analysis and its application in feature fusion. International Conference on Information Fusion. 151–157. 14 indexed citations
18.
Yu, Pan, Quansen Sun, & Xia De-shen. (2011). Image Fusion Framework Based on PCA Decomposition. Jisuanji gongcheng. 1 indexed citations
19.
Sun, Quansen. (2005). An Effective Combined Feature Extraction on Handwriting Chinese Character and Recognition Algorithm. Zhongwen xinxi xuebao. 1 indexed citations
20.
Liu, Zhengdong, et al.. (2003). A Feature-Constrained and Area-Related Stereo Matching Algorithm. Computer Engineering and Applications Journal. 39(34). 38–40. 3 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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