Changsheng Li

2.5k total citations
77 papers, 1.6k citations indexed

About

Changsheng Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Changsheng Li has authored 77 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Vision and Pattern Recognition, 34 papers in Artificial Intelligence and 6 papers in Computer Networks and Communications. Recurrent topics in Changsheng Li's work include Domain Adaptation and Few-Shot Learning (11 papers), Face and Expression Recognition (10 papers) and Anomaly Detection Techniques and Applications (10 papers). Changsheng Li is often cited by papers focused on Domain Adaptation and Few-Shot Learning (11 papers), Face and Expression Recognition (10 papers) and Anomaly Detection Techniques and Applications (10 papers). Changsheng Li collaborates with scholars based in China, United States and Australia. Changsheng Li's co-authors include Junchi Yan, Qingshan Liu, Kaihao Zhang, Wenhan Luo, Xiaoyu Zhang, Yanjiang Yu, Haichao Shi, Guoren Wang, Hongyuan Zha and Ye Yuan and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Changsheng Li

70 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changsheng Li China 24 956 602 185 130 115 77 1.6k
Jianfeng Ren China 20 758 0.8× 173 0.3× 107 0.6× 97 0.7× 185 1.6× 94 1.3k
Chirag Patel India 11 370 0.4× 255 0.4× 81 0.4× 74 0.6× 63 0.5× 37 961
Ning Xu China 22 549 0.6× 841 1.4× 82 0.4× 57 0.4× 259 2.3× 79 1.7k
Xinzheng Xu China 20 440 0.5× 841 1.4× 183 1.0× 120 0.9× 84 0.7× 55 1.8k
Tehmina Khalil Pakistan 9 425 0.4× 372 0.6× 103 0.6× 79 0.6× 89 0.8× 13 1.2k
Quanfu Fan United States 18 1.3k 1.4× 587 1.0× 251 1.4× 154 1.2× 140 1.2× 48 2.1k
Weihua Ou China 25 1.3k 1.4× 720 1.2× 250 1.4× 127 1.0× 233 2.0× 121 2.1k
Chen‐Yu Lee United States 13 1.2k 1.3× 708 1.2× 175 0.9× 72 0.6× 73 0.6× 36 1.7k
Xiang Yu China 26 2.0k 2.0× 748 1.2× 76 0.4× 129 1.0× 158 1.4× 92 3.0k

Countries citing papers authored by Changsheng Li

Since Specialization
Citations

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

Fields of papers citing papers by Changsheng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changsheng Li

This figure shows the co-authorship network connecting the top 25 collaborators of Changsheng Li. A scholar is included among the top collaborators of Changsheng 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 Changsheng Li. Changsheng 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
1.
Li, Changsheng, et al.. (2025). Shared Growth of Graph Neural Networks via Prompted Free-Direction Knowledge Distillation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(6). 4377–4394. 1 indexed citations
2.
He, Ling, Shanshan Wei, Changsheng Li, et al.. (2025). Unveiling plumbagin as a novel metabolic modulator to suppress ACC1-mediated de novo lipogenesis in non-small cell lung cancer. Phytomedicine. 148. 157438–157438.
3.
Zhou, Wenhui, et al.. (2024). Temporal-channel cascaded transformer for imagined handwriting character recognition. Neurocomputing. 573. 127243–127243.
4.
Li, Rongqing, et al.. (2024). ITPNet: Towards Instantaneous Trajectory Prediction for Autonomous Driving. arXiv (Cornell University). 1643–1654. 3 indexed citations
5.
Li, Rongqing, Jiaqi Yu, Changsheng Li, et al.. (2024). DREAM: Domain-Agnostic Reverse Engineering Attributes of Black-Box Model. IEEE Transactions on Knowledge and Data Engineering. 36(12). 8009–8022.
6.
Li, Changsheng, et al.. (2024). HAda: Hyper-Adaptive Parameter-Efficient Learning for Multi-View ConvNets. IEEE Transactions on Image Processing. 34. 85–99. 1 indexed citations
7.
Yu, Yanjiang, Puyang Zhang, Kaihao Zhang, Wenhan Luo, & Changsheng Li. (2023). Multiprior Learning Via Neural Architecture Search for Blind Face Restoration. IEEE Transactions on Neural Networks and Learning Systems. 36(2). 3057–3070. 5 indexed citations
8.
Li, Changsheng, et al.. (2022). Structure Guided Deep Neural Network for Unsupervised Active Learning. IEEE Transactions on Image Processing. 31. 2767–2781. 11 indexed citations
9.
Li, Changsheng, et al.. (2022). Deep Unsupervised Active Learning on Learnable Graphs. IEEE Transactions on Neural Networks and Learning Systems. 35(2). 2894–2900. 6 indexed citations
10.
Zhang, Kaihao, Rongqing Li, Yanjiang Yu, Wenhan Luo, & Changsheng Li. (2021). Deep Dense Multi-Scale Network for Snow Removal Using Semantic and Depth Priors. IEEE Transactions on Image Processing. 30. 7419–7431. 151 indexed citations
11.
Zhang, Li, et al.. (2020). Ensemble classifier based on optimized extreme learning machine for motor imagery classification. Journal of Neural Engineering. 17(2). 26004–26004. 30 indexed citations
12.
13.
Wang, Yu, et al.. (2019). A Deep Learning Algorithm for Fully Automatic Brain Tumor Segmentation. 1–5. 8 indexed citations
14.
Kang, Zhao, Yiwei Lu, Yuanzhang Su, Changsheng Li, & Zenglin Xu. (2019). Similarity Learning via Kernel Preserving Embedding. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 4057–4064. 24 indexed citations
15.
Xiao, Shuai, Junchi Yan, Changsheng Li, et al.. (2016). On modeling and predicting individual paper citation count over time. International Joint Conference on Artificial Intelligence. 2676–2682. 44 indexed citations
16.
Yan, Junchi, Shuai Xiao, Changsheng Li, et al.. (2016). Modeling contagious merger and acquisition via point processes with a profile regression prior. International Joint Conference on Artificial Intelligence. 2690–2696. 14 indexed citations
17.
Zhuo, Xuejun, et al.. (2015). METACONF: LEARNING BASED CONFIGURATION FILE DISCOVERY WITH FILE METADATA. 3(3). 1–12. 1 indexed citations
18.
Zhang, Wei, Fengyun Dong, Liqun Li, et al.. (2015). Catalpol downregulates vascular endothelial-cadherin expression and induces vascular hyperpermeability. Molecular Medicine Reports. 13(1). 373–378. 13 indexed citations
19.
Li, Changsheng. (2008). A New Algorithm for Active Calibration of Array Shape. Radar Science and Technology.
20.
Li, Changsheng. (2003). Clearing Up Fallacies Over Expressions of "Times.

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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