Xing Sun

2.9k total citations · 1 hit paper
52 papers, 1.4k citations indexed

About

Xing Sun is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Xing Sun has authored 52 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 4 papers in Biomedical Engineering. Recurrent topics in Xing Sun's work include Video Surveillance and Tracking Methods (17 papers), Advanced Neural Network Applications (13 papers) and Human Pose and Action Recognition (12 papers). Xing Sun is often cited by papers focused on Video Surveillance and Tracking Methods (17 papers), Advanced Neural Network Applications (13 papers) and Human Pose and Action Recognition (12 papers). Xing Sun collaborates with scholars based in China, Hong Kong and United States. Xing Sun's co-authors include Xinyang Jiang, Xiaowei Guo, Rongrong Ji, Feiyue Huang, Feng Zheng, Ke Li, Edmund Y. Lam, Cheng Deng, Wei‐Shi Zheng and Hayden Kwok‐Hay So and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Xing Sun

49 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training

2019 292 citations Feng Zheng, Cheng Deng et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xing Sun China	19	1.2k	321	264	115	60	52	1.4k
Jingyong Su China	16	525 0.4×	153 0.5×	218 0.8×	43 0.4×	48 0.8×	56	825
Chaoqun Hong China	13	1.0k 0.8×	138 0.4×	417 1.6×	157 1.4×	55 0.9×	51	1.4k
Hongcheng Wang United States	11	1.5k 1.2×	337 1.0×	650 2.5×	70 0.6×	27 0.5×	31	1.7k
Zhilan Hu China	9	1.3k 1.0×	206 0.6×	573 2.2×	42 0.4×	65 1.1×	14	1.4k
Chunxiao Liu China	14	909 0.7×	138 0.4×	441 1.7×	47 0.4×	28 0.5×	53	1.2k
Xiaoshan Yang China	21	969 0.8×	62 0.2×	553 2.1×	95 0.8×	43 0.7×	84	1.4k
Wen Gao China	16	927 0.8×	131 0.4×	237 0.9×	84 0.7×	64 1.1×	77	1.2k
Shikui Wei China	19	1.2k 1.0×	80 0.2×	412 1.6×	140 1.2×	70 1.2×	78	1.5k

Countries citing papers authored by Xing Sun

Since Specialization

Citations

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

Fields of papers citing papers by Xing Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xing Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Xing Sun. A scholar is included among the top collaborators of Xing 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 Xing Sun. Xing Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Wang, Chenglin, et al.. (2024). Litchi picking points localization in natural environment based on the Litchi-YOSO model and branch morphology reconstruction algorithm. Computers and Electronics in Agriculture. 226. 109473–109473. 3 indexed citations

2.

Yu, Wenwen, et al.. (2024). Turning a CLIP Model Into a Scene Text Spotter. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(9). 6040–6054. 9 indexed citations

3.

Qiao, Ruizhi, et al.. (2024). Multi-dataset Detection with Transformers. International Journal of Computer Vision. 132(7). 2443–2449. 1 indexed citations

4.

Zhang, Mengdan, Chaoyou Fu, Yunhang Shen, et al.. (2024). Cantor: Inspiring Multimodal Chain-of-Thought of MLLM. 9096–9105. 5 indexed citations

5.

Zheng, Xiawu, Yunhang Shen, Mingchen Zhuge, et al.. (2024). Multimodal Inplace Prompt Tuning for Open-set Object Detection. 8062–8071.

6.

Li, Ke, et al.. (2024). MMICT: Boosting Multi-Modal Fine-Tuning with In-Context Examples. ACM Transactions on Multimedia Computing Communications and Applications. 21(11). 1–17. 2 indexed citations

7.

Shen, Yunhang, Baochang Zhang, Gaoqi He, et al.. (2024). A General and Efficient Training for Transformer via Token Expansion. 15783–15792. 3 indexed citations

8.

Qin, Yulei, Yuting Gao, Zihan Xu, et al.. (2024). SinKD: Sinkhorn Distance Minimization for Knowledge Distillation. IEEE Transactions on Neural Networks and Learning Systems. 36(7). 11887–11901. 1 indexed citations

9.

Huang, Zhiyong, Kekai Sheng, Ke Li, et al.. (2023). Reciprocal normalization for domain adaptation. Pattern Recognition. 140. 109533–109533. 7 indexed citations

10.

Zhang, Jun, et al.. (2023). Graph-Based Self-Learning for Robust Person Re-identification. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 5 indexed citations

11.

Li, Hanjun, et al.. (2023). D3G: Exploring Gaussian Prior for Temporal Sentence Grounding with Glance Annotation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 13688–13700. 12 indexed citations

12.

Jiang, Xinyang, et al.. (2022). Conditional Feature Embedding by Visual Clue Correspondence Graph for Person Re-Identification. IEEE Transactions on Image Processing. 31. 6188–6199. 2 indexed citations

13.

Sheng, Kekai, Xiawu Zheng, Ke Li, et al.. (2022). Training-free Transformer Architecture Search. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 10884–10893. 27 indexed citations

14.

Wang, Jinpeng, Yuting Gao, Ke Li, et al.. (2021). Removing the Background by Adding the Background: Towards Background Robust Self-supervised Video Representation Learning. 11799–11808. 55 indexed citations

15.

Zhang, Jiawei, Xinyang Jiang, Mengdan Zhang, et al.. (2021). Learning to Know Where to See: A Visibility-Aware Approach for Occluded Person Re-identification. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 11865–11874. 58 indexed citations

16.

Zhou, Chong, Pai Peng, Junlong Du, et al.. (2020). NOH-NMS. 1967–1975. 31 indexed citations

17.

Meng, Nan, Hayden Kwok‐Hay So, Xing Sun, & Edmund Y. Lam. (2019). High-Dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(3). 873–886. 102 indexed citations

18.

Zheng, Feng, Cheng Deng, Xing Sun, et al.. (2019). Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training. 8506–8514. 292 indexed citations breakdown →

19.

Zheng, Feng, et al.. (2018). A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss Dynamic Training.. arXiv (Cornell University). 8 indexed citations

20.

Sun, Xing, Lihe Zhang, & Huchuan Lu. (2017). Co-saliency detection via partially absorbing random walk. 33. 230–237. 4 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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