Chi Su

4.2k total citations · 2 hit papers
43 papers, 2.0k citations indexed

About

Chi Su is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Chi Su has authored 43 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 7 papers in Biomedical Engineering. Recurrent topics in Chi Su's work include Human Pose and Action Recognition (14 papers), Video Surveillance and Tracking Methods (11 papers) and Advanced Neural Network Applications (8 papers). Chi Su is often cited by papers focused on Human Pose and Action Recognition (14 papers), Video Surveillance and Tracking Methods (11 papers) and Advanced Neural Network Applications (8 papers). Chi Su collaborates with scholars based in China, United States and Sweden. Chi Su's co-authors include Shiliang Zhang, Wen Gao, Junliang Xing, Qi Tian, Qi Tian, Jianing Li, Qingming Huang, Shuhui Wang, Lingxi Xie and Jun Wei and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Fuel.

In The Last Decade

Chi Su

38 papers receiving 2.0k citations

Hit Papers

Pose-Driven Deep Convolutional Model for Person Re-identi... 2017 2026 2020 2023 2017 2020 100 200 300 400 500
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.

  1. Pose-Driven Deep Convolutional Model for Person Re-identification
    2017 594 citations Chi Su, Jianing Li et al. profile →
  2. Label Decoupling Framework for Salient Object Detection
    2020 262 citations Jun Wei, Shuhui Wang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chi Su China 16 1.7k 536 530 119 94 43 2.0k
Chunfeng Song China 17 1.3k 0.8× 441 0.8× 437 0.8× 54 0.5× 71 0.8× 45 1.7k
Henghui Ding Singapore 29 1.8k 1.0× 922 1.7× 109 0.2× 127 1.1× 147 1.6× 78 2.3k
Joanna Materzyńska Mexico 6 2.0k 1.2× 1.1k 2.0× 215 0.4× 144 1.2× 88 0.9× 6 2.3k
Joe Yue-Hei Ng United States 8 1.6k 0.9× 819 1.5× 325 0.6× 44 0.4× 65 0.7× 10 1.9k
Suha Kwak South Korea 20 1.8k 1.1× 971 1.8× 117 0.2× 146 1.2× 172 1.8× 53 2.3k
Qi Dai China 19 1.2k 0.7× 644 1.2× 95 0.2× 90 0.8× 141 1.5× 39 1.6k
Yang Wu China 20 1.0k 0.6× 312 0.6× 230 0.4× 31 0.3× 62 0.7× 75 1.3k
Minh Hoai United States 21 1.2k 0.7× 490 0.9× 92 0.2× 54 0.5× 133 1.4× 60 1.5k
Junqing Yu China 20 1.1k 0.7× 811 1.5× 140 0.3× 192 1.6× 122 1.3× 78 1.8k
Yifan Sun China 17 1.6k 0.9× 521 1.0× 408 0.8× 72 0.6× 108 1.1× 44 2.0k

Countries citing papers authored by Chi Su

Since Specialization
Citations

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

Fields of papers citing papers by Chi Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chi Su

This figure shows the co-authorship network connecting the top 25 collaborators of Chi Su. A scholar is included among the top collaborators of Chi 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 Chi Su. Chi 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.
2.
Zhang, Quanli, Xiang Xiao, Hao Xu, et al.. (2025). Hypoxia-inducible APCDD1L-AS1 promotes osimertinib resistance by stabilising DLST to drive tricarboxylic acid cycle in lung adenocarcinoma. Journal of Experimental & Clinical Cancer Research. 44(1). 197–197.
3.
Díaz-Rubio, M, et al.. (2025). Biomarkers of GH deficiency identified in untreated and GH-treated Pit-1 mutant mice. Frontiers in Endocrinology. 16. 1539797–1539797.
4.
Chen, Xin, Wenhao Liu, Chi Su, et al.. (2024). Multimodal effects of an extracellular matrix on cellular morphology, dynamics and functionality. Journal of Materials Chemistry B. 12(32). 7946–7958. 1 indexed citations
5.
6.
Liu, Yu, et al.. (2024). Evolution of kerogen structure during the carbonization stage. Organic Geochemistry. 190. 104743–104743. 3 indexed citations
7.
8.
Su, Chi, et al.. (2024). Single and combined effects of Ni and Cr on the freshwater ostracod Cypridopsis vidua. Environmental Pollutants and Bioavailability. 36(1). 1 indexed citations
9.
Wang, Shuhui, et al.. (2023). General Greedy De-Bias Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(8). 9789–9805. 7 indexed citations
10.
Zhang, Quanli, Limin Zheng, Yongkang Bai, et al.. (2023). ITPR1-AS1 promotes small cell lung cancer metastasis by facilitating P21 splicing and stabilizing DDX3X to activate the cRaf-MEK-ERK cascade. Cancer Letters. 577. 216426–216426. 13 indexed citations
11.
Zhang, Weigang, et al.. (2022). Temporal Dynamic Concept Modeling Network for Explainable Video Event Recognition. ACM Transactions on Multimedia Computing Communications and Applications. 19(6). 1–22. 1 indexed citations
12.
Chen, Liang, Chi Su, Yong Liu, et al.. (2022). Sensitivity of Ostracods to U, Cd and Cu: The Case of Cypridopsis vidua. Toxics. 10(7). 349–349. 10 indexed citations
13.
Wang, Shuhui, et al.. (2021). Self-Regulated Learning for Egocentric Video Activity Anticipation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(6). 6715–6730. 32 indexed citations
14.
Shen, Yunhang, Liujuan Cao, Baochang Zhang, et al.. (2021). Parallel Detection-and-Segmentation Learning for Weakly Supervised Instance Segmentation. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 8178–8188. 11 indexed citations
15.
Zeng, Dan, Yuhang Huang, Qian Bao, et al.. (2021). Neural Architecture Search for Joint Human Parsing and Pose Estimation. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 11365–11374. 20 indexed citations
16.
Su, Chi, et al.. (2020). Correlating Edge, Pose With Parsing. ANU Open Research (Australian National University). 8897–8906. 45 indexed citations
17.
Wei, Jun, Shuhui Wang, Zhe Wu, et al.. (2020). Label Decoupling Framework for Salient Object Detection. 13022–13031. 262 indexed citations breakdown →
18.
Xie, Lingxi, Fang Wan, Chi Su, et al.. (2019). SIXray: A Large-Scale Security Inspection X-Ray Benchmark for Prohibited Item Discovery in Overlapping Images. 2114–2123. 202 indexed citations
19.
Su, Chi, Jianing Li, Shiliang Zhang, et al.. (2017). Pose-Driven Deep Convolutional Model for Person Re-identification. 3980–3989. 594 indexed citations breakdown →
20.
Su, Chi, Yang Gao, & Chun Cao. (2010). Learning classifier system using both labeled and unlabeled data. 1065–1066. 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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