Chuankun Li

722 total citations
35 papers, 469 citations indexed

About

Chuankun Li is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Chuankun Li has authored 35 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 14 papers in Biomedical Engineering and 11 papers in Artificial Intelligence. Recurrent topics in Chuankun Li's work include Human Pose and Action Recognition (15 papers), Gait Recognition and Analysis (13 papers) and Anomaly Detection Techniques and Applications (8 papers). Chuankun Li is often cited by papers focused on Human Pose and Action Recognition (15 papers), Gait Recognition and Analysis (13 papers) and Anomaly Detection Techniques and Applications (8 papers). Chuankun Li collaborates with scholars based in China, Australia and United States. Chuankun Li's co-authors include Wanqing Li, Pichao Wang, Yonghong Hou, Shuang Wang, Shuai Li, Yanbo Gao, Xiang Zhang, Liwei Wang, Yanfang Chen and Yi Ren and has published in prestigious journals such as Expert Systems with Applications, Sensors and Remote Sensing.

In The Last Decade

Chuankun Li

27 papers receiving 455 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chuankun Li China 9 397 217 192 148 24 35 469
Hoang Le Uyen Thuc Vietnam 6 306 0.8× 98 0.5× 138 0.7× 54 0.4× 17 0.7× 7 358
Shaik Akbar India 7 271 0.7× 123 0.6× 112 0.6× 43 0.3× 16 0.7× 15 375
Brahim Nini Algeria 6 358 0.9× 98 0.5× 163 0.8× 55 0.4× 11 0.5× 22 444
Inwoong Lee South Korea 6 323 0.8× 181 0.8× 177 0.9× 92 0.6× 20 0.8× 12 375
Naifan Zhuang United States 5 371 0.9× 156 0.7× 202 1.1× 79 0.5× 14 0.6× 8 407
Amir Ghodrati Belgium 6 713 1.8× 261 1.2× 354 1.8× 125 0.8× 17 0.7× 10 755
Vivek Veeriah United States 4 292 0.7× 139 0.6× 173 0.9× 75 0.5× 15 0.6× 7 340
Harshala Gammulle Australia 9 254 0.6× 64 0.3× 152 0.8× 49 0.3× 17 0.7× 14 315
Okan Köpüklü Germany 6 194 0.5× 88 0.4× 68 0.4× 183 1.2× 42 1.8× 13 326
Lingxiao He China 9 493 1.2× 268 1.2× 70 0.4× 46 0.3× 5 0.2× 10 552

Countries citing papers authored by Chuankun Li

Since Specialization
Citations

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

Fields of papers citing papers by Chuankun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chuankun Li

This figure shows the co-authorship network connecting the top 25 collaborators of Chuankun Li. A scholar is included among the top collaborators of Chuankun Li 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 Chuankun Li. Chuankun Li 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
2.
Li, Chuankun, et al.. (2025). Weighted Total Variation Joint Group Sparse Regularization for Imaging of Explosion Energy Field Attenuation on Shallow Subsurface. IEEE Transactions on Instrumentation and Measurement. 74. 1–17.
3.
Li, Shuai, Yanbo Gao, Chong Lv, et al.. (2025). LiftFormer: Lifting and Frame Theory Based Monocular Depth Estimation Using Depth and Edge Oriented Subspace Representation. IEEE Transactions on Multimedia. 27. 9098–9110.
4.
Liu, Jiyuan, Chuankun Li, Xinhang Wan, et al.. (2025). Large-scale Multi-view Tensor Clustering with Implicit Linear Kernels. 20727–20736. 1 indexed citations
5.
Xiao, Zheng, et al.. (2025). DACMF-DTI: Dual attention embedded cross-modality fusion for drug-target interaction prediction. Knowledge-Based Systems. 326. 114063–114063.
6.
Li, Chuankun, Shuai Li, Yanbo Gao, et al.. (2025). Unsupervised Feature Enrichment and Fidelity Preservation Learning Framework for Skeleton-Based Action Recognition. IEEE Transactions on Circuits and Systems for Video Technology. 35(7). 7116–7128. 1 indexed citations
7.
Li, Jian, et al.. (2024). Supervised-Learning-Based Method for Restoring Subsurface Shallow-Layer Q Factor Distribution. Electronics. 13(11). 2145–2145.
9.
Li, Chuankun, Shuai Li, Yanbo Gao, Lijuan Zhou, & Wanqing Li. (2024). Static graph convolution with learned temporal and channel-wise graph topology generation for skeleton-based action recognition. Computer Vision and Image Understanding. 244. 104012–104012. 1 indexed citations
10.
Gao, Yanbo, et al.. (2024). Color and Geometric Contrastive Learning Based Intra-Frame Supervision for Self-Supervised Monocular Depth Estimation. IEEE Signal Processing Letters. 31. 2940–2944.
11.
Gao, Yanbo, et al.. (2024). Position-Guided Multi-Head Alignment and Fusion for Video Super-Resolution. Electronics. 13(22). 4372–4372. 1 indexed citations
12.
Li, Shuai, Yanbo Gao, Chuankun Li, & Hui Yuan. (2024). Aligned Intra Prediction and Hyper Scale Decoder Under Multistage Context Model for JPEG AI. IEEE Signal Processing Letters. 31. 1545–1549. 2 indexed citations
13.
Li, Chuankun, et al.. (2023). Dfn: A Deep Fusion Network for Flexible Single and Multi-Modal Action Recognition. SSRN Electronic Journal. 1 indexed citations
14.
Li, Chuankun, et al.. (2023). Independently convolutional gated recurrent neural unit for space-based ADS-B signal separation with single antenna. EURASIP Journal on Advances in Signal Processing. 2023(1).
15.
Li, Chuankun, Shuai Li, Yanbo Gao, Lina Guo, & Wanqing Li. (2023). Improved Shift Graph Convolutional Network for Action Recognition With Skeleton. IEEE Signal Processing Letters. 30. 438–442. 7 indexed citations
16.
Hou, Yonghong, et al.. (2022). Motion saliency based hierarchical attention network for action recognition. Multimedia Tools and Applications. 82(3). 4533–4550. 6 indexed citations
17.
Zeng, Yuan, et al.. (2022). A Gunshot Recognition Method Based on Multi-Scale Spectrum Shift Module. Electronics. 11(23). 3859–3859. 2 indexed citations
18.
Ren, Yi, et al.. (2020). Single Image De-Raining via Improved Generative Adversarial Nets. Sensors. 20(6). 1591–1591. 6 indexed citations
19.
Hou, Yonghong, et al.. (2019). Self-Attention Guided Deep Features for Action Recognition. 1060–1065. 12 indexed citations
20.
Li, Chuankun, Yonghong Hou, Pichao Wang, & Wanqing Li. (2018). Multiview-Based 3-D Action Recognition Using Deep Networks. IEEE Transactions on Human-Machine Systems. 49(1). 95–104. 38 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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