Mingquan Lin

780 citations

48 papers · 397 indexed · 1 hit paper · h-index 11

Radiology, Nuclear Medicine and Imaging top 10%
Artificial Intelligence top 10%
Computer Vision and Pattern Recognition top 10%
Health Informatics top 2%
Pulmonary and Respiratory Medicine

Co-authors: Yifan Peng Bernard Chiu Mingbo Zhao Zhiyong Lu Fei Wang Xiaofeng Yang Yang Lei Walter J. Curran
Topics: COVID-19 diagnosis using AI (12 papers)Radiomics and Machine Learning in Medical Imaging (10 papers)AI in cancer detection (7 papers)
Cited by: Health Informatics Radiology, Nuclear Medicine and Imaging Computer Vision and Pattern Recognition
Journals: Nature CommunicationsSHILAP Revista de lepidopterologíaScientific Reports
Partner nations: United States China Hong Kong

In The Last Decade

Mingquan Lin

46 papers receiving 389 citations

Hit 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.

Large language models for disease diagnosis: a scoping review

2025 19 citations Mingquan Lin et al. PubMed profile →

Peers

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-authorship network of co-authors of Mingquan Lin

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Multimodal Data Fusion for Whole-Slide Histopathology Image Classification 2025 ·PubMed ·(unknown),Mousumi Roy,(unknown),(unknown),Mingquan Lin,(unknown)	0
2	Deep learning models to predict primary open‐angle glaucoma 2024 ·Stat ·(unknown),J. Philip Miller,Mae O. Gordon,Michael A. Kass,Mingquan Lin,Yifan Peng,Fuhai Li,(unknown),Lei Liu	1
3	Deep learning with noisy labels in medical prediction problems: a scoping review 2024 ·Journal of the American Medical Informatics Association ·(unknown),(unknown),Cong Sun,Mingquan Lin,(unknown),Yifan Peng	2
4	An empirical study of using radiology reports and images to improve intensive care unit mortality prediction 2024 ·JAMIA Open ·Mingquan Lin,Song Wang,Ying Ding,Lihui Zhao,Fei Wang,Yifan Peng	1
5	A multimodal approach for few-shot biomedical named entity recognition in low-resource languages 2024 ·Journal of Biomedical Informatics ·Jian Chen,(unknown),(unknown),Mingquan Lin,Yifan Peng,(unknown)	2
6	A New Classification Method for Diagnosing COVID-19 Pneumonia via Joint Parallel Deformable MLP Modules and Bi-LSTM With Multi-Source Generated Data of CXR Images 2024 ·IEEE Transactions on Consumer Electronics ·(unknown),Wenyu Xing,Mingquan Lin,Yuping Liu,Tommy W. S. Chow	1
7	Enhancing thoracic disease detection using chest X-rays from PubMed Central Open Access 2023 ·Computers in Biology and Medicine ·Mingquan Lin,Bojian Hou,Swati Mishra,Tianyuan Yao,Yuankai Huo,Qian Yang,(unknown),George Shih,Yifan Peng	5
8	A scoping review on multimodal deep learning in biomedical images and texts 2023 ·Journal of Biomedical Informatics ·Zhaoyi Sun,Mingquan Lin,Qingqing Zhu,Qianqian Xie,Fei Wang,Zhiyong Lu,Yifan Peng	26
9	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 2023 ·Neural Computing and Applications ·Yiwen Liu,Wenyu Xing,Mingbo Zhao,Mingquan Lin	9
10	Improving model fairness in image-based computer-aided diagnosis 2023 ·Nature Communications ·Mingquan Lin,(unknown),Yifan Yang,Gregory Holste,Ying Ding,(unknown),Kyle D. Kovacs,George Shih,Zhangyang Wang,Zhiyong Lu,Fei Wang,Yifan Peng	15
11	Multi-scale Multi-structure Siamese Network (MMSNet) for Primary Open-Angle Glaucoma Prediction 2022 ·Lecture notes in computer science ·Mingquan Lin,Lei Liu,(unknown),Michael A. Kass,(unknown),Fei Wang,Yifan Peng	2
12	Person re-identification via semi-supervised adaptive graph embedding 2022 ·Applied Intelligence ·(unknown),Mingquan Lin,Mingbo Zhao,Choujun Zhan,Bing Li,Kwok Tai Chui	11
13	Primary Open-Angle Glaucoma Diagnosis from Optic Disc Photographs Using a Siamese Network 2022 ·SHILAP Revista de lepidopterología ·Mingquan Lin,Lei Liu,Mae O. Gordon,Michael A. Kass,Fei Wang,(unknown),Yifan Peng	9
14	Automated diagnosing primary open-angle glaucoma from fundus image by simulating human’s grading with deep learning 2022 ·Scientific Reports ·Mingquan Lin,Bojian Hou,Lei Liu,Mae O. Gordon,Michael A. Kass,Fei Wang,(unknown),Yifan Peng	28
15	An empirical study of using radiology reports and images to improve ICU-mortality prediction 2021 ·PubMed ·Mingquan Lin,Song Wang,Ying Ding,Lihui Zhao,Fei Wang,Yifan Peng	9
16	Multi-task deep learning-based survival analysis on the prognosis of late AMD using the longitudinal data in AREDS. 2021 ·PubMed ·(unknown),Matthew Brendel,Mingquan Lin,Qingyu Chen,Tiarnán D L Keenan,Kun Chen,Emily Y. Chew,Zhiyong Lu,Yifan Peng,Fei Wang	4
17	Longitudinal assessment of carotid plaque texture in three-dimensional ultrasound images based on semi-supervised graph-based dimensionality reduction and feature selection 2019 ·Computers in Biology and Medicine ·Mingquan Lin,He Cui,Weifu Chen,Arna van Engelen,Marleen de Bruijne,Mahmoud Reza Azarpazhooh,(unknown),J. David Spence,Bernard Chiu	8
18	Three-dimensional ultrasound evaluation of the effects of pomegranate therapy on carotid plaque texture using locality preserving projection 2019 ·Computer Methods and Programs in Biomedicine ·Xueli Chen,Mingquan Lin,He Cui,Yimin Chen,Arna van Engelen,Marleen de Bruijne,Mahmoud Reza Azarpazhooh,(unknown),Tommy W. S. Chow,J. David Spence,Bernard Chiu	10
19	A self-tuned graph-based framework for localization and grading prostate cancer lesions: An initial evaluation based on multiparametric magnetic resonance imaging 2018 ·Computers in Biology and Medicine ·Weifu Chen,Mingquan Lin,Eli Gibson,(unknown),Derek W. Cool,Zahra Kassam,Huageng Liang,Guocan Feng,Aaron D. Ward,Bernard Chiu	6
20	Prostate lesion detection and localization based on locality alignment discriminant analysis 2017 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Mingquan Lin,Weifu Chen,Mingbo Zhao,Eli Gibson,(unknown),Derek W. Cool,Zahra Kassam,Tommy W. S. Chow,Aaron D. Ward,Bernard Chiu	2

About Mingquan Lin

Mingquan Lin is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 48 papers that have together received 397 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (12 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and AI in cancer detection (7 papers). The work is most often cited by research in Health Informatics (56 citations), Radiology, Nuclear Medicine and Imaging (163 citations) and Computer Vision and Pattern Recognition (102 citations). Mingquan Lin has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Yifan Peng, Bernard Chiu, Mingbo Zhao, Zhiyong Lu, Fei Wang, Xiaofeng Yang, Yang Lei, Walter J. Curran, Ying Ding and Tian Liu. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Scientific Reports.

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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