Mingquan Lin

885 citations
50 papers · 458 · 1 hit paper · h-index 11

Impact in

Papers in

Co-authors
Yifan Peng (19 shared papers)Bernard Chiu (13 shared papers)Zhiyong Lu (5 shared papers)Mingbo Zhao (7 shared papers)Fei Wang (8 shared papers)Walter J. Curran (6 shared papers)Xiaofeng Yang (6 shared papers)Yifan Yang (2 shared papers)
Journals
Medical Physics (3 papers)Journal of Biomedical Informatics (3 papers)Computers in Biology and Medicine (3 papers)Neural Computing and Applications (2 papers)Nature Communications (1 paper)
Partner nations
United StatesHong KongChina

In The Last Decade

Mingquan Lin

48 papers receiving 448 citations

Mingquan Lin's Hit Papers

Large language models for disease diagnosis: a scoping review 2025 · 33 citations
330Years since publication102030
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.
  1. 2025 PubMed

Peers

Mingquan Lin
Comparison fields: 5 of 75
  • Health Informatics 56
  • Radiology, Nuclear Medicine and Imaging 149
  • Computer Vision and Pattern Recognition 98
  • Ophthalmology 35
  • Neurology 31
Replace Aaron Loh with:
Aaron Loh United States
Nicola Rieke United Kingdom
Yangqin Feng Singapore
Cheng Bian China
Rayan Krishnan United States
Daniel Kermany United States
Jinyu Cong China
Yanda Meng United Kingdom
Mingquan Lin relative to Aaron Loh United States Aaron Loh's profile →
Citations per field
00.5×2×4×6×7.8×
Aaron Loh · 1×
Citations per year

Countries citing papers authored by Mingquan Lin

Since Specialization
Citations

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

Fields of papers citing papers by Mingquan Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mingquan Lin, 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 Mingquan Lin Line = papers co-authored together Mingquan Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A survey of recent methods for addressing AI fairness and bias in biomedicine
Journal of Biomedical Informatics ·Yifan Yang, Mingquan Lin, Han Zhao, Yifan Peng, Furong Huang, Zhiyong Lu
202443
2
Fully automated segmentation of brain tumor from multiparametric MRI using 3D context deep supervised U‐Net
Medical Physics ·Mingquan Lin, Shadab Momin, Yang Lei, Hesheng Wang, Walter J. Curran, Tian Liu, Xiaofeng Yang
202141
3
Large language models for disease diagnosis: a scoping review
PubMed ·Shuang Zhou, Zidu Xu, Mian Zhang, Chunpu Xu, Yawen Guo, Zaifu Zhan, Yi Fang, Sirui Ding, Jiashuo Wang, Kaishuai Xu, Liqiao Xia, Jeremy Yeung, Daochen Zha, Dongming Cai, Genevieve B. Melton, Mingquan Lin, Rui Zhang
Hit paper breakdown →		202533
4
A scoping review on multimodal deep learning in biomedical images and texts
Journal of Biomedical Informatics ·Zhaoyi Sun, Mingquan Lin, Qingqing Zhu, Qianqian Xie, Fei Wang, Zhiyong Lu, Yifan Peng
202332
5
Automated diagnosing primary open-angle glaucoma from fundus image by simulating human’s grading with deep learning
Scientific Reports ·Mingquan Lin, Bojian Hou, Lei Liu, Mae O. Gordon, Michael A. Kass, Fei Wang, Sarah H. Van Tassel, Yifan Peng
202229
6
Deep-recursive residual network for image semantic segmentation
Neural Computing and Applications ·Yue Zhang, Xianrui Li, Mingquan Lin, Bernard Chiu, Mingbo Zhao
202022
7
Artificial intelligence in tumor subregion analysis based on medical imaging: A review
Journal of Applied Clinical Medical Physics ·Mingquan Lin, Jacob Wynne, Boran Zhou, Tonghe Wang, Yang Lei, Walter J. Curran, Tian Liu, Xiaofeng Yang
202121
8
Improving model fairness in image-based computer-aided diagnosis
Nature Communications ·Mingquan Lin, Tianhao Li, Yifan Yang, Gregory Holste, Ying Ding, Sarah H. Van Tassel, Kyle D. Kovacs, George Shih, Zhangyang Wang, Zhiyong Lu, Fei Wang, Yifan Peng
202317
9
Trace Ratio Criterion based Discriminative Feature Selection via l2,-norm regularization for supervised learning
Neurocomputing ·Mingbo Zhao, Mingquan Lin, Bernard Chiu, Zhao Zhang, Xue‐song Tang
201817
10
Plaque components segmentation in carotid artery on simultaneous non-contrast angiography and intraplaque hemorrhage imaging using machine learning
Magnetic Resonance Imaging ·Qiang Zhang, Huiyu Qiao, Jiaqi Dou, Binbin Sui, Xihai Zhao, Zhensen Chen, Yishi Wang, Shuo Chen, Mingquan Lin, Bernard Chiu, Chun Yuan, Rui Li, Huijun Chen
201915
11
Person re-identification via semi-supervised adaptive graph embedding
Applied Intelligence ·Jiao Liu, Mingquan Lin, Mingbo Zhao, Choujun Zhan, Bing Li, (unknown)
202212
12
A new classification method for diagnosing COVID-19 pneumonia based on joint CNN features of chest X-ray images and parallel pyramid MLP-mixer module
Neural Computing and Applications ·Yiwen Liu, Wenyu Xing, Mingbo Zhao, Mingquan Lin
202310
13
An empirical study of using radiology reports and images to improve ICU-mortality prediction
PubMed ·Mingquan Lin, Song Wang, Ying Ding, Lihui Zhao, Fei Wang, Yifan Peng
202110
14
Knowledge Graph Applications in Medical Imaging Analysis: A Scoping Review
PubMed ·Song Wang, Mingquan Lin, Tirthankar Ghosal, Ying Ding, Yifan Peng
202210
15
Prostate lesion delineation from multiparametric magnetic resonance imaging based on locality alignment discriminant analysis
Medical Physics ·Mingquan Lin, Weifu Chen, Mingbo Zhao, Eli Gibson, Matthew Bastian‐Jordan, Derek W. Cool, Zahra Kassam, Huageng Liang, Tommy W. S. Chow, Aaron D. Ward, Bernard Chiu
201810
16
Three-dimensional ultrasound evaluation of the effects of pomegranate therapy on carotid plaque texture using locality preserving projection
Computer Methods and Programs in Biomedicine ·Xueli Chen, Mingquan Lin, He Cui, Yimin Chen, Arna van Engelen, Marleen de Bruijne, Mahmoud Reza Azarpazhooh, Seyed Mojtaba Sohrevardi, Tommy W. S. Chow, J. David Spence, Bernard Chiu
201910
17
Primary Open-Angle Glaucoma Diagnosis from Optic Disc Photographs Using a Siamese Network
Ophthalmology Science ·Mingquan Lin, Lei Liu, Mae O. Gordon, Michael A. Kass, Fei Wang, Sarah H. Van Tassel, Yifan Peng
20229
18
Explainable differential diagnosis with dual-inference large language models
PubMed ·Shuang Zhou, Mingquan Lin, Sirui Ding, Jiashuo Wang, Canyu Chen, Genevieve B. Melton, James Zou, Rui Zhang
20258
19
Simple-Structured OLEDs Incorporating Undoped Phosphorescent Emitters Within Non-Exciplex Forming Interfaces: Towards Ultraslow Efficiency Roll-Off and Low Driving Voltage for Indoor R/G/B Illumination
Frontiers in Chemistry ·Ting Xu, Ruichen Yi, Chunqin Zhu, Mingquan Lin
20218
20
Longitudinal assessment of carotid plaque texture in three-dimensional ultrasound images based on semi-supervised graph-based dimensionality reduction and feature selection
Computers in Biology and Medicine ·Mingquan Lin, He Cui, Weifu Chen, Arna van Engelen, Marleen de Bruijne, Mahmoud Reza Azarpazhooh, Seyed Mojtaba Sohrevardi, J. David Spence, Bernard Chiu
20198

About Mingquan Lin

Mingquan Lin is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine and Ophthalmology, having authored 50 papers that have together received 458 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (11 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Retinal Imaging and Analysis (7 papers), AI in cancer detection (7 papers), Machine Learning in Healthcare (5 papers), Topic Modeling (5 papers), Glaucoma and retinal disorders (4 papers) and Retinal Diseases and Treatments (4 papers). The work is most often cited by research in Health Informatics (56 citations), Radiology, Nuclear Medicine and Imaging (149 citations), Computer Vision and Pattern Recognition (98 citations), Ophthalmology (35 citations) and Neurology (31 citations). Mingquan Lin has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Yifan Peng, Bernard Chiu, Zhiyong Lu, Mingbo Zhao, Fei Wang, Walter J. Curran, Xiaofeng Yang, Yifan Yang, Yang Lei and Furong Huang. Their work appears in journals such as Medical Physics, Journal of Biomedical Informatics, Computers in Biology and Medicine, Neural Computing and Applications and Nature Communications.

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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