Sanqing Qu

684 total citations
28 papers, 370 citations indexed

About

Sanqing Qu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Sanqing Qu has authored 28 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 7 papers in Aerospace Engineering. Recurrent topics in Sanqing Qu's work include Robotics and Sensor-Based Localization (7 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Autonomous Vehicle Technology and Safety (6 papers). Sanqing Qu is often cited by papers focused on Robotics and Sensor-Based Localization (7 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Autonomous Vehicle Technology and Safety (6 papers). Sanqing Qu collaborates with scholars based in China, Germany and Singapore. Sanqing Qu's co-authors include Guang Chen, Zhijun Li, Alois Knoll, Fan Lü, Yinlong Liu, Changjun Jiang, Lijun Zhang, Guang Chen, Zhongcong Xu and Florian Röhrbein and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Sanqing Qu

23 papers receiving 362 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sanqing Qu China 13 172 95 95 80 72 28 370
Andrei Bursuc France 8 226 1.3× 95 1.0× 57 0.6× 49 0.6× 39 0.5× 31 393
Wang Feng China 11 316 1.8× 92 1.0× 118 1.2× 46 0.6× 33 0.5× 31 453
Jae Shin Yoon United States 8 330 1.9× 36 0.4× 119 1.3× 44 0.6× 34 0.5× 16 424
Tianjian Meng United States 3 459 2.7× 193 2.0× 133 1.4× 37 0.5× 47 0.7× 4 587
Yingwei Li United States 9 392 2.3× 215 2.3× 139 1.5× 31 0.4× 45 0.6× 15 568
Yiming Cui United States 14 547 3.2× 143 1.5× 109 1.1× 38 0.5× 31 0.4× 21 727
Krishna Murthy Jatavallabhula United States 8 284 1.7× 90 0.9× 192 2.0× 40 0.5× 47 0.7× 20 460
Jonathon Luiten Germany 9 359 2.1× 52 0.5× 134 1.4× 64 0.8× 32 0.4× 9 475
Yunqi Lei China 11 213 1.2× 52 0.5× 40 0.4× 74 0.9× 45 0.6× 45 341
Lele Cao China 11 174 1.0× 138 1.5× 35 0.4× 31 0.4× 23 0.3× 32 439

Countries citing papers authored by Sanqing Qu

Since Specialization
Citations

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

Fields of papers citing papers by Sanqing Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanqing Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Sanqing Qu. A scholar is included among the top collaborators of Sanqing Qu 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 Sanqing Qu. Sanqing Qu 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.
Qu, Sanqing, Guang Chen, Jing Zhang, et al.. (2025). General Class-Balanced Multicentric Dynamic Prototype Pseudo-Labeling for Source-Free Domain Adaptation. International Journal of Computer Vision. 133(6). 3327–3348. 3 indexed citations
2.
Qu, Sanqing, Hao Liang, Xudong Zhang, et al.. (2025). Integrative deep learning of spatial multi-omics with SWITCH. Nature Computational Science. 5(11). 1051–1063.
3.
Qu, Sanqing, Florian Röhrbein, Cewu Lu, et al.. (2025). GLC++: Source-Free Universal Domain Adaptation Through Global-Local Clustering and Contrastive Affinity Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(11). 10646–10663. 1 indexed citations
4.
Qu, Sanqing, et al.. (2025). Retrieve-then-compare mitigates visual hallucination in multi-modal large language models. 5(2). 248–75. 1 indexed citations
6.
Qu, Sanqing, et al.. (2024). LEAD: Learning Decomposition for Source-free Universal Domain Adaptation. 23334–23343. 12 indexed citations
7.
Zhang, Xudong, Jing Hou, Sanqing Qu, et al.. (2024). Deep reinforcement learning as an interaction agent to steer fragment-based 3D molecular generation for protein pockets. Briefings in Bioinformatics. 26(4). 1 indexed citations
8.
Peng, Boyang, Sanqing Qu, Yong Wu, et al.. (2024). MAP: MAsk-Pruning for Source-Free Model Intellectual Property Protection. 23585–23594.
9.
Lü, Fan, Guang Chen, Yinlong Liu, et al.. (2023). HRegNet: A Hierarchical Network for Efficient and Accurate Outdoor LiDAR Point Cloud Registration. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(10). 11884–11897. 14 indexed citations
10.
Chen, Guang, Fan Lü, Zhijun Li, et al.. (2023). RPP-Net: Rigid Constrained Point Cloud Prediction Network. IEEE Transactions on Intelligent Transportation Systems. 24(9). 9344–9354. 1 indexed citations
11.
Chen, Guang, et al.. (2023). D2IFLN: Disentangled Domain-Invariant Feature Learning Networks for Domain Generalization. IEEE Transactions on Cognitive and Developmental Systems. 15(4). 2269–2281. 13 indexed citations
12.
Chen, Guang, et al.. (2022). PSDC: A Prototype-Based Shared-Dummy Classifier Model for Open-Set Domain Adaptation. IEEE Transactions on Cybernetics. 53(11). 7353–7366. 24 indexed citations
13.
Chen, Guang, et al.. (2022). Neuromorphic Vision-Based Fall Localization in Event Streams With Temporal–Spatial Attention Weighted Network. IEEE Transactions on Cybernetics. 52(9). 9251–9262. 20 indexed citations
15.
Chen, Guang, Zhijun Li, Wei He, et al.. (2021). KAM-Net: Keypoint-Aware and Keypoint-Matching Network for Vehicle Detection From 2-D Point Cloud. IEEE Transactions on Artificial Intelligence. 3(2). 207–217. 12 indexed citations
16.
Lü, Fan, Guang Chen, Zhijun Li, et al.. (2021). MoNet: Motion-Based Point Cloud Prediction Network. IEEE Transactions on Intelligent Transportation Systems. 23(8). 13794–13804. 20 indexed citations
17.
Lü, Fan, Guang Chen, Sanqing Qu, et al.. (2021). PointINet: Point Cloud Frame Interpolation Network. Proceedings of the AAAI Conference on Artificial Intelligence. 35(3). 2251–2259. 17 indexed citations
18.
Chen, Guang, Sanqing Qu, Kai Chen, et al.. (2020). Pseudo-Image and Sparse Points: Vehicle Detection With 2D LiDAR Revisited by Deep Learning-Based Methods. IEEE Transactions on Intelligent Transportation Systems. 22(12). 7699–7711. 30 indexed citations
19.
Qu, Sanqing, et al.. (2019). ITDP-Robot: Design of An Intelligent Transport Dispatch Parking Robot. 智能城市应用. 2(5). 2 indexed citations
20.
Chen, Guang, et al.. (2018). Self-Localization of Parking Robots Using Square-Like Landmarks. 96. 1987–1992. 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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