Lin Yang

6.4k citations

121 papers · 2.9k · 3 hit papers · h-index 29

Impact in

Computer Vision and Pattern Recognition top 0.5%
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
Biophysics top 1%
- Cell Image Analysis Techniques

Papers in

Computer Vision and Pattern Recognition 64
- Advanced Image and Video Retrieval Techniques 19
- Medical Image Segmentation Techniques 15
- Advanced Neural Network Applications 12
- Digital Imaging for Blood Diseases 12
- Image Retrieval and Classification Techniques 11
Artificial Intelligence 57
- AI in cancer detection 37

Co-authors: David J. Foran (19 shared papers)Baiyang Liu (2 shared papers)Junzhou Huang (2 shared papers)Peter Meer (7 shared papers)Le Lü (2 shared papers)Yefeng Zheng (3 shared papers)Gustavo Carneiro (1 shared paper)Danny Z. Chen (10 shared papers)
Journals: IEEE Transactions on Medical Imaging (3 papers)BMC Bioinformatics (2 papers)Journal of the American Medical Informatics Association (1 paper)PLoS ONE (1 paper)Journal of Pathology Informatics (1 paper)
Partner nations: United States China Hong Kong

In The Last Decade

Lin Yang

112 papers receiving 2.8k citations

Lin Yang's Hit Papers

align trajectories log scale

Toward Visual Interaction: Hand Segmentation by Combining 3-D Graph Deep Learning and Laser Point Cloud for Intelligent Rehabilitation 2025 · 39 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2025 IEEE Internet of Things Journal
2025 Frontiers in Computational Neuroscience
2011 Robust tracking using local sparse appearance model and K-selection

Peers

Countries citing papers authored by Lin Yang

Since Specialization

Citations

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

Fields of papers citing papers by Lin Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lin Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lin Yang Line = papers co-authored together Lin Yang links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Robust tracking using local sparse appearance model and K-selection Baiyang Liu, Junzhou Huang, Lin Yang, Casimir Kulikowsk Hit paper breakdown →	2011	356
2	Inducible depletion of satellite cells in adult, sedentary mice impairs muscle regenerative capacity without affecting sarcopenia Nature Medicine ·Christopher S. Fry, Jonah D. Lee, Jyothi Mula, Tyler J. Kirby, Janna R. Jackson, Fujun Liu, Lin Yang, Christopher L. Mendias, Esther E. Dupont‐Versteegden, John J. McCarthy, Charlotte A. Peterson	2014	340
3	Deep Learning and Convolutional Neural Networks for Medical Image Computing DIAL (Catholic University of Leuven) ·Lin Yang, Gustavo Carneiro, Yefeng Zheng, Le Lü	2017	221
4	Unsupervised Segmentation Based on Robust Estimation and Color Active Contour Models IEEE Transactions on Information Technology in Biomedicine ·Lin Yang, Peter Meer, David J. Foran	2005	128
5	Robust Visual Tracking Using Local Sparse Appearance Model and K-Selection IEEE Transactions on Pattern Analysis and Machine Intelligence ·Baiyang Liu, Junzhou Huang, Casimir A. Kulikowski, Lin Yang	2012	121
6	Semi-Supervised Log-Based Anomaly Detection via Probabilistic Label Estimation Lin Yang, Junjie Chen, Zan Wang, Weijing Wang, Jiajun Jiang, Xuyuan Dong, Wenbin Zhang	2021	121
7	Multiple Class Segmentation Using A Unified Framework over Mean-Shift Patches PubMed ·Lin Yang, Peter Meer, David J. Foran	2007	92
8	Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation neural information processing systems ·Jianxu Chen, Lin Yang, Yizhe Zhang, Mark Alber, Danny Z. Chen	2016	76
9	Pancreas Segmentation in MRI Using Graph-Based Decision Fusion on Convolutional Neural Networks Lecture notes in computer science ·Jinzheng Cai, Le Lü, Zizhao Zhang, Fuyong Xing, Lin Yang, Qian Yin	2016	76
10	Tissue Triage and Freezing for Models of Skeletal Muscle Disease Journal of Visualized Experiments ·Hui Meng, Paul M.L. Janssen, Robert W. Grange, Lin Yang, Alan H. Beggs, Lindsay C. Swanson, Stacy A. Cossette, Alison Rockett Frase, Martin K. Childers, Henk Granzier, Emanuela Gussoni, Michael W. Lawlor	2014	71
11	Region segmentation in histopathological breast cancer images using deep convolutional neural network Hai Su, Fujun Liu, Yuanpu Xie, Fuyong Xing, Sreenivasan Meyyappan, Lin Yang	2015	68
12	Label-free visualization and characterization of extracellular vesicles in breast cancer Proceedings of the National Academy of Sciences ·Sixian You, Ronit Barkalifa, Eric J. Chaney, Haohua Tu, Jaena Park, Janet E. Sorrells, Yi Sun, Yuan-Zhi Liu, Lin Yang, Danny Z. Chen, Marina Marjanović, Saurabh Sinha, Stephen A. Boppart	2019	66
13	Automatic Image Analysis of Histopathology Specimens Using Concave Vertex Graph Lecture notes in computer science ·Lin Yang, Oncel Tuzel, Peter Meer, David J. Foran	2008	55
14	Coarse-to-Fine Stacked Fully Convolutional Nets for lymph node segmentation in ultrasound images PolyU Institutional Research Archive (Hong Kong Polytechnic University) ·Yizhe Zhang, Michael Ying, Lin Yang, Anil T. Ahuja, Danny Z. Chen	2016	52
15	ImageMiner: a software system for comparative analysis of tissue microarrays using content-based image retrieval, high-performance computing, and grid technology Journal of the American Medical Informatics Association ·David J. Foran, Lin Yang, Wenjin Chen, Jun Hu, Lauri Goodell, Michael Reiß, Fusheng Wang, Tahsin Kurç, Tony Pan, Ashish Sharma, Joel Saltz	2011	49
16	A New Ensemble Learning Framework for 3D Biomedical Image Segmentation Proceedings of the AAAI Conference on Artificial Intelligence ·Hao Zheng, Yizhe Zhang, Lin Yang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen	2019	46
17	Toward Visual Interaction: Hand Segmentation by Combining 3-D Graph Deep Learning and Laser Point Cloud for Intelligent Rehabilitation IEEE Internet of Things Journal ·Zhizhong Xing, Guolan Ma, Liyuan Wang, Lin Yang, Xiaojun Guo, Shaochun Chen Hit paper breakdown →	2025	39
18	Prediction Based Collaborative Trackers (PCT): A Robust and Accurate Approach Toward 3D Medical Object Tracking IEEE Transactions on Medical Imaging ·Lin Yang, Bogdan Georgescu, Yefeng Zheng, Yan Wang, Peter Meer, Dorin Comaniciu	2011	38
19	Biomedical Image Segmentation via Representative Annotation Proceedings of the AAAI Conference on Artificial Intelligence ·Hao Zheng, Lin Yang, Jianxu Chen, Jun Han, Yizhe Zhang, Peixian Liang, Zhuo Zhao, Chaoli Wang, Danny Z. Chen	2019	36
20	A deep learning-based framework for lung cancer survival analysis with biomarker interpretation BMC Bioinformatics ·Lei Cui, Hansheng Li, Wenli Hui, Sitong Chen, Lin Yang, Yuxin Kang, Qirong Bo, Jun Feng	2020	36

About Lin Yang

Lin Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Biophysics and Media Technology, having authored 121 papers that have together received 2.9k indexed citations. Recurring topics across this work include AI in cancer detection (37 papers), Advanced Image and Video Retrieval Techniques (19 papers), Medical Image Segmentation Techniques (15 papers), Advanced Neural Network Applications (12 papers), Digital Imaging for Blood Diseases (12 papers), Cell Image Analysis Techniques (11 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Image Retrieval and Classification Techniques (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Biophysics (226 citations), Artificial Intelligence (842 citations), Health Informatics (32 citations) and Aging (37 citations). Lin Yang has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include David J. Foran, Baiyang Liu, Junzhou Huang, Peter Meer, Le Lü, Yefeng Zheng, Gustavo Carneiro, Danny Z. Chen, Fuyong Xing and Jonah D. Lee. Their work appears in journals such as IEEE Transactions on Medical Imaging, BMC Bioinformatics, Journal of the American Medical Informatics Association, PLoS ONE and Journal of Pathology Informatics.

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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