Can Qin

1.6k total citations
51 papers, 613 citations indexed

About

Can Qin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Can Qin has authored 51 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 17 papers in Artificial Intelligence and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Can Qin's work include Integrated Energy Systems Optimization (8 papers), Domain Adaptation and Few-Shot Learning (8 papers) and Multimodal Machine Learning Applications (7 papers). Can Qin is often cited by papers focused on Integrated Energy Systems Optimization (8 papers), Domain Adaptation and Few-Shot Learning (8 papers) and Multimodal Machine Learning Applications (7 papers). Can Qin collaborates with scholars based in China, United States and Mexico. Can Qin's co-authors include Yun Fu, Yulun Zhang, Lichen Wang, Huan Wang, Yue Wu, Wenping Ma, Changyu Deng, Wei Lu, Qiguang Miao and Xiangrong Zhang and has published in prestigious journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Agricultural and Food Chemistry.

In The Last Decade

Can Qin

50 papers receiving 599 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Can Qin China 14 272 165 114 58 33 51 613
Yanhua Shao China 13 228 0.8× 59 0.4× 53 0.5× 57 1.0× 48 1.5× 75 492
Yanjie Wang China 13 198 0.7× 86 0.5× 83 0.7× 19 0.3× 37 1.1× 71 544
Saadat Hanif Dar Pakistan 14 431 1.6× 119 0.7× 172 1.5× 20 0.3× 29 0.9× 21 786
Hamed Habibi Aghdam Spain 8 200 0.7× 118 0.7× 77 0.7× 30 0.5× 27 0.8× 20 410
Ning Zhou China 15 532 2.0× 193 1.2× 128 1.1× 8 0.1× 38 1.2× 47 769
Mahmut Kaya Türkiye 6 270 1.0× 259 1.6× 59 0.5× 23 0.4× 38 1.2× 21 667
Shuo Liu China 13 137 0.5× 96 0.6× 60 0.5× 36 0.6× 24 0.7× 42 533

Countries citing papers authored by Can Qin

Since Specialization
Citations

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

Fields of papers citing papers by Can Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Can Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Can Qin. A scholar is included among the top collaborators of Can Qin 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 Can Qin. Can Qin 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.
Qin, Can, et al.. (2025). A three-model integrated optimization framework for natural gas pipeline capacity operationally efficient and equitable allocation. Applied Mathematical Modelling. 150. 116416–116416. 1 indexed citations
2.
Liang, Guangchuan, et al.. (2025). Cooperative operation optimization of natural gas pipeline network and underground gas storage: economic scheduling and low-carbon control. Geoenergy Science and Engineering. 257. 214243–214243. 1 indexed citations
3.
Liu, Jiaming, Linghe Kong, Yue Wu, et al.. (2025). Triple Point Masking. IEEE Transactions on Circuits and Systems for Video Technology. 35(9). 8466–8477. 1 indexed citations
4.
Li, Chengyu, et al.. (2025). Intelligent Decision-Making Method and Software for Natural Gas Pipeline Operation Scheme. Journal of Pipeline Systems Engineering and Practice. 16(2). 1 indexed citations
5.
Zhou, Jun, Tao Wang, Can Qin, et al.. (2024). Differential pressure power generation in UGS: Operational optimization model and its implications for carbon emission reduction. Energy. 312. 133565–133565. 2 indexed citations
6.
Qin, Can, et al.. (2024). Self-Training Large Language and Vision Assistant for Medical Question Answering. 20052–20060. 1 indexed citations
8.
Zhang, Shu, Yihao Feng, Can Qin, et al.. (2024). HIVE: Harnessing Human Feedback for Instructional Visual Editing. 9026–9036. 12 indexed citations
9.
Liu, Jiaming, Yue Wu, Maoguo Gong, et al.. (2024). M3SOT: Multi-Frame, Multi-Field, Multi-Space 3D Single Object Tracking. Proceedings of the AAAI Conference on Artificial Intelligence. 38(4). 3630–3638. 5 indexed citations
10.
Wang, Huan, Yulun Zhang, Can Qin, Luc Van Gool, & Yun Fu. (2023). Global Aligned Structured Sparsity Learning for Efficient Image Super-Resolution. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(9). 10974–10989. 23 indexed citations
11.
Wang, Yizhou, et al.. (2023). Momentum is All You Need for Data-Driven Adaptive Optimization. 1385–1390. 2 indexed citations
12.
Gong, Jingwei, Can Qin, Xinjun Tang, & Tao Zhang. (2022). Experimental study and field application of abrasion resistance for the repair of concrete water-conveying structures. Materials and Structures. 55(7). 12 indexed citations
13.
Qin, Can, et al.. (2022). Making Reconstruction-based Method Great Again for Video Anomaly Detection. 1215–1220. 15 indexed citations
14.
Zhou, Jun, et al.. (2022). Global layout optimization of star-tree gas gathering pipeline network via an improved genetic optimization algorithm. Journal of Intelligent & Fuzzy Systems. 44(2). 2655–2672. 3 indexed citations
15.
Zhang, Yulun, Donglai Wei, Can Qin, et al.. (2021). Context Reasoning Attention Network for Image Super-Resolution. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 4258–4267. 61 indexed citations
16.
Zhang, Yulun, Huan Wang, Can Qin, & Yun Fu. (2021). Aligned Structured Sparsity Learning for Efficient Image Super-Resolution. Neural Information Processing Systems. 34. 20 indexed citations
17.
Qin, Can, Handong Zhao, Lichen Wang, et al.. (2021). Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation. Neural Information Processing Systems. 34. 5 indexed citations
18.
Qin, Can, et al.. (2020). Opposite Structure Learning for Semi-supervised Domain Adaptation. arXiv (Cornell University). 10 indexed citations
19.
Deng, Changyu, Can Qin, & Wei Lu. (2020). Deep-Learning-Enabled Simulated Annealing for Topology Optimization. arXiv (Cornell University). 2 indexed citations
20.
Qin, Can, Maoguo Gong, Yue Wu, Dayong Tian, & Puzhao Zhang. (2018). Efficient Scene Labeling via Sparse Annotations.. National Conference on Artificial Intelligence. 194–201. 2 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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