Cheng‐Lin Liu

21.4k total citations · 5 hit papers
378 papers, 12.7k citations indexed

About

Cheng‐Lin Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Cheng‐Lin Liu has authored 378 papers receiving a total of 12.7k indexed citations (citations by other indexed papers that have themselves been cited), including 274 papers in Computer Vision and Pattern Recognition, 171 papers in Artificial Intelligence and 43 papers in Media Technology. Recurrent topics in Cheng‐Lin Liu's work include Handwritten Text Recognition Techniques (187 papers), Image Retrieval and Classification Techniques (94 papers) and Image Processing and 3D Reconstruction (62 papers). Cheng‐Lin Liu is often cited by papers focused on Handwritten Text Recognition Techniques (187 papers), Image Retrieval and Classification Techniques (94 papers) and Image Processing and 3D Reconstruction (62 papers). Cheng‐Lin Liu collaborates with scholars based in China, Japan and United Kingdom. Cheng‐Lin Liu's co-authors include Fei Yin, Xu-Yao Zhang, Cordelia Schmid, Heng Wang, Alexander Kläser, Qiufeng Wang, Hiroshi Sako, Hiromichi Fujisawa, Da-Han Wang and Ching Y. Suen and has published in prestigious journals such as Environmental Science & Technology, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Cheng‐Lin Liu

351 papers receiving 12.1k citations

Hit Papers

5 papers align trajectories

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.

Action recognition by dense trajectories

2011 1.5k citations Cheng‐Lin Liu et al. profile →
Dense Trajectories and Motion Boundary Descriptors for Action Recognition

2013 1.2k citations Cheng‐Lin Liu et al. profile →
Vehicle Detection in Satellite Images by Hybrid Deep Convolutional Neural Networks

2014 478 citations Cheng‐Lin Liu et al. profile →
Multisource Transfer Learning for Cross-Subject EEG Emotion Recognition

2019 283 citations Cheng‐Lin Liu et al. profile →
Prototype Augmentation and Self-Supervision for Incremental Learning

2021 213 citations Fei Zhu, Xu-Yao Zhang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cheng‐Lin Liu China	52	9.7k	5.0k	2.3k	907	886	378	12.7k
Hanqing Lu China	47	11.6k 1.2×	4.7k 0.9×	1.8k 0.8×	1.9k 2.1×	1.2k 1.3×	314	14.9k
Liang Lin China	66	11.9k 1.2×	4.8k 1.0×	1.5k 0.7×	1.1k 1.2×	352 0.4×	432	15.9k
Ying Wu United States	50	8.4k 0.9×	3.1k 0.6×	888 0.4×	1.4k 1.5×	1.3k 1.5×	277	10.7k
Dahua Lin Hong Kong	50	11.8k 1.2×	6.0k 1.2×	929 0.4×	2.0k 2.2×	1.0k 1.2×	201	15.8k
Rahul Sukthankar United States	45	11.1k 1.1×	4.3k 0.9×	866 0.4×	1.5k 1.7×	1.1k 1.3×	145	14.4k
Lianwen Jin China	44	6.0k 0.6×	1.8k 0.4×	1.9k 0.8×	513 0.6×	589 0.7×	311	7.4k
Weiming Hu China	51	8.8k 0.9×	3.0k 0.6×	701 0.3×	1.2k 1.3×	592 0.7×	306	11.5k
Xiaokang Yang China	64	13.2k 1.4×	2.9k 0.6×	4.1k 1.8×	877 1.0×	399 0.5×	522	16.2k
Xiang Bai China	65	15.0k 1.5×	3.3k 0.7×	4.7k 2.1×	665 0.7×	418 0.5×	260	18.0k
Wenjun Zeng China	48	9.3k 1.0×	2.9k 0.6×	1.2k 0.5×	2.1k 2.3×	872 1.0×	276	11.5k

Countries citing papers authored by Cheng‐Lin Liu

Since Specialization

Citations

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

Fields of papers citing papers by Cheng‐Lin Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheng‐Lin Liu. 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 Cheng‐Lin Liu. The network helps show where Cheng‐Lin Liu may publish in the future.

Co-authorship network of co-authors of Cheng‐Lin Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng‐Lin Liu. A scholar is included among the top collaborators of Cheng‐Lin Liu 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 Cheng‐Lin Liu. Cheng‐Lin Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wang, Chuang, Chengzhi Luo, Jinying Du, et al.. (2025). Oxidation and detoxification of butyl xanthate from flotation wastewater by activated persulfate with vacuum ultraviolet: Performance evaluation, mechanism insight, and environmental application. Journal of environmental chemical engineering. 13(2). 115841–115841.

Zhu, Fei, et al.. (2025). PASS++: A Dual Bias Reduction Framework for Non-Exemplar Class-Incremental Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(8). 7123–7139.

Zhu, Fei, et al.. (2025). ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(7). 6022–6038.

Yu, Mingming, Heng Zhang, Fei Yin, & Cheng‐Lin Liu. (2024). An approach for handwritten Chinese text recognition unifying character segmentation and recognition. Pattern Recognition. 151. 110373–110373. 5 indexed citations

Li, Zhongzhi, et al.. (2024). LANS: A Layout-Aware Neural Solver for Plane Geometry Problem. 2596–2608.

Pan, Yanan, Haolan Tao, Haiping Su, et al.. (2024). High mixing enhancement for continuous uniformity Li/Al-LDHs in lithium extraction from low grade salt lakes. Separation and Purification Technology. 354. 129282–129282. 5 indexed citations

Zhang, Jiao, et al.. (2024). Towards reliable domain generalization: Insights from the PF2HC benchmark and dynamic evaluations. Pattern Recognition. 157. 110926–110926.

Shivakumara, Palaiahnakote, et al.. (2024). A novel domain independent scene text localizer. Pattern Recognition. 158. 111015–111015.

Xu, Yue, Xu-Yao Zhang, Zhaoxiang Zhang, & Cheng‐Lin Liu. (2024). Large-scale continual learning for ancient Chinese character recognition. Pattern Recognition. 150. 110283–110283. 8 indexed citations

10.

Du, Jinying, Chuang Wang, Guoliang Chen, et al.. (2023). Novel vacuum UV/ozone/peroxymonosulfate process for efficient degradation of levofloxacin: Performance evaluation and mechanism insight. Journal of Hazardous Materials. 463. 132916–132916. 44 indexed citations

11.

Yang, Yuting, et al.. (2023). DyGAT: Dynamic stroke classification of online handwritten documents and sketches. Pattern Recognition. 141. 109564–109564. 3 indexed citations

12.

Shivakumara, Palaiahnakote, et al.. (2023). An end-to-end model for multi-view scene text recognition. Pattern Recognition. 149. 110206–110206. 10 indexed citations

13.

Chen, Xue, et al.. (2023). Effects of poling camber angle on the biomechanics of cross-country sit-skiing. Scientific Reports. 13(1). 20893–20893.

14.

Liu, Jingyu, Yan‐Ming Zhang, Fei Yin, & Cheng‐Lin Liu. (2023). Transformer-based stroke relation encoding for online handwriting and sketches. Pattern Recognition. 148. 110131–110131. 3 indexed citations

15.

Zhang, Xu-Yao, Guo-Sen Xie, Xiuli Li, Tao Mei, & Cheng‐Lin Liu. (2023). A Survey on Learning to Reject. Proceedings of the IEEE. 111(2). 185–215. 24 indexed citations

16.

Feng, Wei, et al.. (2023). Video Text Detection With Robust Feature Representation. IEEE Transactions on Circuits and Systems for Video Technology. 34(6). 4407–4420. 2 indexed citations

17.

Liu, Cheng‐Lin, et al.. (2023). Advanced exergy analysis and optimization of a coal to ethylene glycol (CtEG) process. Energy. 282. 128790–128790. 13 indexed citations

18.

Feng, Wei, et al.. (2022). Mixed-Supervised Scene Text Detection With Expectation-Maximization Algorithm. IEEE Transactions on Image Processing. 31. 5513–5528. 13 indexed citations

19.

Li, Xiang, et al.. (2021). Playing Against Deep-Neural-Network-Based Object Detectors: A Novel Bidirectional Adversarial Attack Approach. IEEE Transactions on Artificial Intelligence. 3(1). 20–28. 16 indexed citations

20.

Chan, Chee Seng, et al.. (2019). Total-Text: toward orientation robustness in scene text detection. International Journal on Document Analysis and Recognition (IJDAR). 23(1). 31–52. 73 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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