Rui Qian

2.8k total citations · 1 hit paper
26 papers, 660 citations indexed

About

Rui Qian is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Rui Qian has authored 26 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 3 papers in Control and Systems Engineering. Recurrent topics in Rui Qian's work include Human Pose and Action Recognition (12 papers), Multimodal Machine Learning Applications (10 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Rui Qian is often cited by papers focused on Human Pose and Action Recognition (12 papers), Multimodal Machine Learning Applications (10 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Rui Qian collaborates with scholars based in China, United States and Hong Kong. Rui Qian's co-authors include Yin Cui, Ming–Hsuan Yang, Boqing Gong, Serge Belongie, Huisheng Wang, Tianjian Meng, Weiyao Lin, Shuyuan Li, John See and Yuxi Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Environmental Pollution and International Journal of Hydrogen Energy.

In The Last Decade

Rui Qian

20 papers receiving 645 citations

Hit Papers

Spatiotemporal Contrastive Video Representation Learning 2021 2026 2022 2024 2021 50 100 150 200 250
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. Spatiotemporal Contrastive Video Representation Learning
    2021 259 citations Rui Qian, Tianjian Meng 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
Rui Qian China 11 501 307 73 58 57 26 660
Baochang Zhang China 8 447 0.9× 150 0.5× 46 0.6× 85 1.5× 102 1.8× 17 574
Wenliang Zhao China 9 506 1.0× 285 0.9× 46 0.6× 26 0.4× 29 0.5× 18 685
Yutong Zheng China 11 255 0.5× 90 0.3× 71 1.0× 53 0.9× 31 0.5× 46 481
Xitong Yang United States 12 615 1.2× 285 0.9× 34 0.5× 20 0.3× 59 1.0× 29 810
Motaz El-Saban Egypt 15 741 1.5× 289 0.9× 58 0.8× 217 3.7× 296 5.2× 28 916
Vili Kellokumpu Finland 10 662 1.3× 139 0.5× 45 0.6× 71 1.2× 156 2.7× 16 722
Tianshan Liu Hong Kong 16 445 0.9× 209 0.7× 19 0.3× 44 0.8× 95 1.7× 54 658
Xuecheng Nie China 14 569 1.1× 207 0.7× 36 0.5× 115 2.0× 95 1.7× 28 653
Min Jiang China 15 551 1.1× 212 0.7× 26 0.4× 75 1.3× 202 3.5× 83 669

Countries citing papers authored by Rui Qian

Since Specialization
Citations

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

Fields of papers citing papers by Rui Qian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rui Qian

This figure shows the co-authorship network connecting the top 25 collaborators of Rui Qian. A scholar is included among the top collaborators of Rui Qian 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 Rui Qian. Rui Qian 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.
Dai, Cheng, Shijie Zhao, Rui Qian, et al.. (2025). Spatiotemporal evolution and risk thresholds of PM2.5 components in China from the human health perspective. Environmental Pollution. 373. 126194–126194. 1 indexed citations
2.
3.
Qian, Rui, et al.. (2025). China's renewable reformation: Financial dynamics in the age of hydrogen energy and green financing transformation. International Journal of Hydrogen Energy. 121. 351–360. 4 indexed citations
4.
Qian, Rui, Bobo Gu, Zichao Li, et al.. (2025). Neural correlates differ between crystallized and fluid intelligence in adolescents. Translational Psychiatry. 15(1). 246–246.
5.
Qian, Rui, et al.. (2025). Reasoning to Attend: Try to Understand How <SEG> Token Works. 24722–24731.
6.
7.
Qian, Rui, Weiyao Lin, John See, & Dian Li. (2024). Controllable augmentations for video representation learning. 2(1). 3 indexed citations
8.
Qian, Rui, et al.. (2023). Semantics Meets Temporal Correspondence: Self-supervised Object-centric Learning in Videos. 16629–16641. 2 indexed citations
9.
Qian, Rui, et al.. (2022). Dual Contrastive Learning for Spatio-temporal Representation. Proceedings of the 30th ACM International Conference on Multimedia. 5649–5658. 12 indexed citations
10.
Liu, Xian, Qianyi Wu, Hang Zhou, et al.. (2022). Learning Hierarchical Cross-Modal Association for Co-Speech Gesture Generation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 10452–10462. 71 indexed citations
11.
Li, Shuyuan, Huabin Liu, Rui Qian, et al.. (2022). TA2N: Two-Stage Action Alignment Network for Few-Shot Action Recognition. Proceedings of the AAAI Conference on Artificial Intelligence. 36(2). 1404–1411. 52 indexed citations
12.
Yuan, Liangzhe, Rui Qian, Yin Cui, et al.. (2022). Contextualized Spatio-Temporal Contrastive Learning with Self-Supervision. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 13957–13966. 14 indexed citations
13.
Li, Maomao, Tianyu Yang, Rui Qian, et al.. (2022). Motion-aware Contrastive Video Representation Learning via Foreground-background Merging. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 9706–9716. 35 indexed citations
14.
Akbari, Hassan, Liangzhe Yuan, Rui Qian, et al.. (2021). VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text. Neural Information Processing Systems. 34. 1 indexed citations
15.
Qian, Rui, Wei Wang, & Zhen Han. (2021). Prescribed Performance Bound-based Adaptive Tracking Control of a Mobile Robot with Visibility Constraints. 207–212. 3 indexed citations
16.
Qian, Rui, Tianjian Meng, Boqing Gong, et al.. (2021). Spatiotemporal Contrastive Video Representation Learning. 6960–6970. 259 indexed citations breakdown →
17.
Li, Yuxi, Weiyao Lin, Tao Wang, et al.. (2020). Finding Action Tubes with a Sparse-to-Dense Framework. Proceedings of the AAAI Conference on Artificial Intelligence. 34(7). 11466–11473. 10 indexed citations
18.
Hu, Di, Rui Qian, Xiao Tan, et al.. (2020). Discriminative Sounding Objects Localization via Self-supervised Audiovisual Matching. Zenodo (CERN European Organization for Nuclear Research). 33. 10077–10087. 26 indexed citations
19.
Li, Xirong, et al.. (2019). Renmin University of China and Zhejiang Gongshang University at TRECVID 2019: Learn to Search and Describe Videos.. TRECVID. 6 indexed citations
20.
Qian, Rui, Yunchao Wei, Humphrey Shi, et al.. (2019). Weakly Supervised Scene Parsing with Point-Based Distance Metric Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 8843–8850. 50 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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