Stephen Lin

51.6k total citations · 7 hit papers
118 papers, 27.7k citations indexed

About

Stephen Lin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Stephen Lin has authored 118 papers receiving a total of 27.7k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Computer Vision and Pattern Recognition, 21 papers in Artificial Intelligence and 21 papers in Media Technology. Recurrent topics in Stephen Lin's work include Advanced Vision and Imaging (45 papers), Image Enhancement Techniques (27 papers) and Advanced Image Processing Techniques (21 papers). Stephen Lin is often cited by papers focused on Advanced Vision and Imaging (45 papers), Image Enhancement Techniques (27 papers) and Advanced Image Processing Techniques (21 papers). Stephen Lin collaborates with scholars based in China, United States and United Kingdom. Stephen Lin's co-authors include Han Hu, Zheng Zhang, Yue Cao, Yixuan Wei, Ze Liu, Baining Guo, Yutong Lin, Shuicheng Yan, Dong Xu and Hao Zhang and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Stephen Lin

110 papers receiving 27.1k citations

Hit Papers

Swin Transformer: Hi... 2006 2026 2012 2019 2021 2006 2022 2019 2018 5.0k 10.0k 15.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen Lin China 47 18.6k 6.3k 5.3k 2.2k 2.0k 118 27.7k
Han Hu China 24 18.2k 1.0× 7.2k 1.1× 4.4k 0.8× 2.6k 1.2× 2.6k 1.3× 44 28.3k
Jiashi Feng Singapore 75 18.0k 1.0× 7.7k 1.2× 3.1k 0.6× 1.6k 0.8× 1.6k 0.8× 278 26.0k
Chunhua Shen Australia 85 25.2k 1.4× 9.6k 1.5× 5.4k 1.0× 2.0k 0.9× 3.3k 1.6× 352 32.9k
Piotr Dollár United States 37 24.5k 1.3× 9.7k 1.5× 3.2k 0.6× 2.7k 1.2× 3.0k 1.5× 45 36.7k
Jian Sun China 64 23.6k 1.3× 3.4k 0.5× 5.8k 1.1× 1.8k 0.9× 2.7k 1.4× 186 31.1k
Yue Cao China 17 13.2k 0.7× 5.9k 0.9× 3.5k 0.7× 2.2k 1.0× 1.8k 0.9× 28 22.0k
Alexei A. Efros United States 63 27.1k 1.5× 7.5k 1.2× 3.5k 0.7× 2.0k 0.9× 2.2k 1.1× 131 33.6k
Alexander C. Berg United States 35 23.2k 1.2× 12.3k 2.0× 2.9k 0.5× 3.0k 1.4× 2.3k 1.2× 56 35.6k
Yixuan Wei China 20 12.2k 0.7× 5.3k 0.8× 3.3k 0.6× 2.1k 1.0× 1.6k 0.8× 50 21.9k
Baining Guo China 59 19.0k 1.0× 5.7k 0.9× 4.0k 0.7× 2.3k 1.0× 2.0k 1.0× 255 30.8k

Countries citing papers authored by Stephen Lin

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Lin. A scholar is included among the top collaborators of Stephen Lin 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 Stephen Lin. Stephen Lin 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.
Lin, Stephen, et al.. (2025). Research on ship dynamic feature extraction and prediction method based on visual data. Ocean Engineering. 327. 120938–120938.
2.
Wu, Huimin, Chenyang Lei, Xiao Sun, et al.. (2023). Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 16259–16270. 4 indexed citations
3.
Kim, Dong-Jin, Xiao Sun, Jinsoo Choi, Stephen Lin, & In So Kweon. (2021). ACP++: Action Co-occurrence Priors for Human-Object Interaction Detection. arXiv (Cornell University). 10 indexed citations
4.
Wang, Yujie, et al.. (2020). Machine Boss: rapid prototyping of bioinformatic automata. Bioinformatics. 37(1). 29–35. 2 indexed citations
5.
Chen, Yihong, Zheng Zhang, Yue Cao, et al.. (2020). RepPoints v2: Verification Meets Regression for Object Detection. Neural Information Processing Systems. 33. 5621–5631. 10 indexed citations
6.
Gao, Hang, Xizhou Zhu, Stephen Lin, & Jifeng Dai. (2020). Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation. arXiv (Cornell University). 8 indexed citations
7.
Zhu, Xizhou, Dazhi Cheng, Zheng Zhang, Stephen Lin, & Jifeng Dai. (2019). An Empirical Study of Spatial Attention Mechanisms in Deep Networks. 6687–6696. 341 indexed citations breakdown →
8.
Kürzinger, Marie‐Laure, et al.. (2019). Comparison of text processing methods in social media–based signal detection. Pharmacoepidemiology and Drug Safety. 28(10). 1309–1317. 13 indexed citations
9.
Kürzinger, Marie‐Laure, Stéphane Schück, Nathalie Texier, et al.. (2018). Web-Based Signal Detection Using Medical Forums Data in France: Comparative Analysis. Journal of Medical Internet Research. 20(11). e10466–e10466. 14 indexed citations
10.
Sun, Xiao, et al.. (2018). Explicit Pose Deformation Learning for Tracking Human Poses.. arXiv (Cornell University). 1 indexed citations
11.
Huang, Ying, Stephen Lin, Xiaoqing Ding, Baining Guo, & Harry Shum. (2017). Real-time Lip Synchronization Based on Hidden Markov Models.
12.
Su, Shuochen, et al.. (2015). Bayesian Depth-From-Defocus With Shading Constraints. IEEE Transactions on Image Processing. 25(2). 589–600. 5 indexed citations
13.
Jiang, Guannan, Stephen Lin, Md Arifur Rahman, et al.. (2015). Image contrast enhancement with brightness preservation using an optimal gamma correction and weighted sum approach. Journal of Modern Optics. 62(7). 536–547. 50 indexed citations
14.
Jiang, Guannan, et al.. (2014). A Review for Image Segmentation Approaches Using Module-Based Framework. Lecture notes in electrical engineering. 169–179.
15.
Liu, Huiying, Dong Xu, Qingming Huang, et al.. (2013). Semantically-Based Human Scanpath Estimation with HMMs. 3232–3239. 33 indexed citations
16.
Kim, Seon Joo, Hai Lin, Zheng Lu, et al.. (2012). A New In-Camera Imaging Model for Color Computer Vision and Its Application. IEEE Transactions on Pattern Analysis and Machine Intelligence. 34(12). 2289–2302. 107 indexed citations
17.
Cao, Xun, Xin Tong, Qionghai Dai, & Stephen Lin. (2011). High resolution multispectral video capture with a hybrid camera system. 297–304. 57 indexed citations
18.
Lin, Stephen & R.W. Wright. (2010). Evolutionary tile coding: an automated state abstraction algorithm for reinforcement learning. National Conference on Artificial Intelligence. 42–47. 13 indexed citations
19.
Xu, Dong, Shuicheng Yan, Stephen Lin, Thomas S. Huang, & Shih‐Fu Chang. (2009). Enhancing Bilinear Subspace Learning by Element Rearrangement. IEEE Transactions on Pattern Analysis and Machine Intelligence. 31(10). 1913–1920. 26 indexed citations
20.
Tan, Ping, Stephen Lin, & Long Quan. (2006). Resolution-Enhanced Photometric Stereo. Lecture notes in computer science. 3953. 58–71. 9 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026