Kun‐Hsing Yu

8.7k citations

58 papers · 4.2k indexed · 4 hit papers · h-index 28

Impact in

Health Informatics top 0.02%
- Artificial Intelligence in Healthcare and Education
Health Information Management top 0.5%
- Artificial Intelligence in Healthcare

Papers in

Health Informatics 3
Genetics 7
- Glioma Diagnosis and Treatment 4

Co-authors: Isaac S. Kohane Andrew L. Beam M Snyder Russ B. Altman Christopher Ré Gerald J. Berry Daniel L. Rubin Ce Zhang
Journals: Journal of Proteome Research (3 papers)Nature Communications (2 papers)Molecular & Cellular Proteomics (2 papers)Journal of Investigative Dermatology (2 papers)Clinical Pharmacology & Therapeutics (2 papers)
Partner nations: United States Taiwan China

In The Last Decade

Kun‐Hsing Yu

55 papers receiving 4.1k citations

Hit Papers

align trajectories log scale

A vision–language foundation model for precision oncology 2025 · 48 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 Nature
2019 JAMA
2018 Nature Biomedical Engineering
2016 Nature Communications

Peers

Countries citing papers authored by Kun‐Hsing Yu

Since Specialization

Citations

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

Fields of papers citing papers by Kun‐Hsing Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kun‐Hsing Yu. 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 Kun‐Hsing Yu. The network helps show where Kun‐Hsing Yu may publish in the future.

Co-authorship network

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

All Works

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20 of 20 papers shown

#	Work
1	Foundation Model for Predicting Prognosis and Adjuvant Therapy Benefit From Digital Pathology in GI Cancers Journal of Clinical Oncology ·Xiyue Wang, Yuming Jiang, Sen Yang, Fang Wang, Xiao Ming Zhang, Wei Wang, Yijiang Chen, Xiaoyan Wu, Jinxi Xiang, Yuchen Li, Xiaofeng Jiang, Wei Yuan, Jing Zhang, Kun‐Hsing Yu, Robyn L. Ward, Nicholas J. Hawkins, Jitendra Jonnagaddala, Guoxin Li, Ruijiang Li	2025	6
2	A vision–language foundation model for precision oncology Nature ·Jinxi Xiang, Xiyue Wang, Xiaoming Zhang, Lotten Wahlund, Feyisope Eweje, Yijiang Chen, Yuchen Li, Colin P. Bergstrom, Mathias Ferber, Ted Kim, Kun‐Hsing Yu, Sierra Hewett, Vatin Tri Gentini, Jeffrey Nirschl, Joel W. Neal, Maximilian Diehn, Sen Yang, Ruijiang Li Hit paper breakdown →	2025	48
3	SpatialCells: automated profiling of tumor microenvironments with spatially resolved multiplexed single-cell data Briefings in Bioinformatics ·Guihong Wan, Zoltan Maliga, E. Senthamil, Tuulia Vallius, Yingxiao Shi, Deko Anggoro Akbar, Crystal Chang, Ajit J. Nirmal, Kun‐Hsing Yu, David Liu, Christine G. Lian, O. L. Zholnerova, Peter K. Sorger, Yevgeniy R. Semenov	2024	2
4	1273 Effect of systemic immunosuppression timing on overall survival among immune checkpoint inhibitor recipients SHILAP Revista de lepidopterología ·Guihong Wan, K. Gemmeke, E. Senthamil, de Queiroz Maria Eliana Lopes Ribeiro, Bonnie W. Leung, Kimberly Tang, 江边, Nikolai Klebanov, Feng Liu, Genevieve M. Boland, Nicole R. LeBoeuf, Shawn G. Kwatra, Kun‐Hsing Yu, Alexander Gusev, Yevgeniy R. Semenov	2023	0
5	Classification of glioblastoma versus primary central nervous system lymphoma using convolutional neural networks Scientific Reports ·Malia McAvoy, Wa Jali, Jakub Kaczmarzyk, Iván Sánchez Fernández, Lisa Holdsworth, Timothy R. Smith, Kun‐Hsing Yu, William B. Gormley, Omar Arnaout	2021	28
6	Real-world data analyses unveiled the immune-related adverse effects of immune checkpoint inhibitors across cancer types npj Precision Oncology ·Feicheng Wang, Shihao Yang, Nathan Palmer, Kathe Fox, Isaac S. Kohane, Katherine P. Liao, Kun‐Hsing Yu, S. C. Kou	2021	24
7	Temporal bias in case-control design: preventing reliable predictions of the future Nature Communications ·William Yuan, Brett K. Beaulieu‐Jones, Kun‐Hsing Yu, Scott Lipnick, Nathan Palmer, Joseph Loscalzo, Tianxi Cai, Isaac S. Kohane	2021	41
8	Development of a Histopathology Informatics Pipeline for Classification and Prediction of Clinical Outcomes in Subtypes of Renal Cell Carcinoma Clinical Cancer Research ·Eliana Marostica, A' b'Kritcher, Thomas Denize, Isaac S. Kohane, Sabina Signoretti, Jeffrey A. Golden, Kun‐Hsing Yu	2021	40
9	Classifying non-small cell lung cancer types and transcriptomic subtypes using convolutional neural networks Journal of the American Medical Informatics Association ·Kun‐Hsing Yu, Feiran Wang, Gerald J. Berry, Christopher Ré, Russ B. Altman, M Snyder, Isaac S. Kohane	2020	82
10	Deep learning in rare disease. Detection of tubers in tuberous sclerosis complex PLoS ONE ·Iván Sánchez Fernández, Edward Yang, Wa Jali, Marta Amengual‐Gual, Joyce Y. Wu, Darcy A. Krueger, Hope Northrup, 禎人中山, Mustafa Şahin, Kun‐Hsing Yu, Jurriaan M. Peters, (unknown)	2020	23
11	Prolonged Auditory Brainstem Response in Universal Hearing Screening of Newborns with Autism Spectrum Disorder Autism Research ·Oren Miron, Rafael E. Delgado, Christine F. Delgado, Elizabeth A. Simpson, Kun‐Hsing Yu, Anibal Gutierrez, Javier Aliaga, Charlene McGee, Isaac S. Kohane	2020	27
12	Reproducible Machine Learning Methods for Lung Cancer Detection Using Computed Tomography Images: Algorithm Development and Validation Journal of Medical Internet Research ·Kun‐Hsing Yu, Michael T. Lee, R. Hayashi, S. C. Kou, Bruce R. Rosen, Jung-Hsien Chiang, Isaac S. Kohane	2020	49
13	Integrating deep transfer learning and radiomics features in glioblastoma multiforme patient survival prediction Sayed Sarim Imam, Lei Qin, Camden Bay, Xin Chen, Kun‐Hsing Yu, 陈昭军, Xiaoyin Xu, Geoffrey S. Young, Kunpeng Zhang	2020	3
14	Deciphering serous ovarian carcinoma histopathology and platinum response by convolutional neural networks BMC Medicine ·Kun‐Hsing Yu, M. K. Tolbert, Feiran Wang, Ursula A. Matulonis, George L. Mutter, Jeffrey A. Golden, Isaac S. Kohane	2020	39
15	Evaluation of the association of bariatric surgery with subsequent depression International Journal of Obesity ·William Yuan, Kun‐Hsing Yu, Nathan Palmer, Fatima Cody Stanford, Isaac S. Kohane	2019	14
16	Deep Transfer Learning and Radiomics Feature Prediction of Survival of Patients with High-Grade Gliomas American Journal of Neuroradiology ·Karl Ludwig Willdenow, Lei Qin, Camden Bay, Xin Chen, Kun‐Hsing Yu, Nityanand Miskin, 陈昭军, Xiaoyin Xu, Geoffrey S. Young	2019	82
17	Exome Sequencing of Neonatal Blood Spots and the Identification of Genes Implicated in Bronchopulmonary Dysplasia American Journal of Respiratory and Critical Care Medicine ·Jingjing Li, Kun‐Hsing Yu, John Oehlert, 清沢井, Jeffrey B. Gould, David K. Stevenson, M Snyder, Gary M. Shaw, Hugh OʼBrodovich	2015	54
18	A Tale of Two Cities Academic Medicine ·Ming‐Jung Ho, Kun‐Hsing Yu, Hui Pan, Jessie Norris, М. Ю. Бобров, Jianing Li, David A. Hirsh	2014	25
19	Prioritization of Cancer Marker Candidates Based on the Immunohistochemistry Staining Images Deposited in the Human Protein Atlas PLoS ONE ·Tamer Coskun, Chia‐Li Han, Kun‐Hsing Yu, Yu‐Ju Chen, バリースタインハート	2013	8
20	An Informatics-assisted Label-free Approach for Personalized Tissue Membrane Proteomics: Case Study on Colorectal Cancer Molecular & Cellular Proteomics ·Chia‐Li Han, Jinn-Shiun Chen, Err–Cheng Chan, Murray Smith, Kun‐Hsing Yu, Jin Zhong Zhu, Chih‐Chiang Tsou, Chia-Feng Tsai, Chih-Wei Chien, Thi Lan Huong Pham, Pei-Yi Lin, Jau‐Song Yu, Chuen Hsueh, Min-Chi Chen, J Penáz, Yu‐Sun Chang, Yu‐Ju Chen	2011	51

About Kun‐Hsing Yu

Kun‐Hsing Yu is a scholar working on Health Informatics, Genetics, Health Information Management, Oncology and Biophysics, having authored 58 papers that have together received 4.2k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (9 papers), Cancer Immunotherapy and Biomarkers (8 papers), AI in cancer detection (7 papers), Cancer Genomics and Diagnostics (5 papers), Bioinformatics and Genomic Networks (5 papers), Glioma Diagnosis and Treatment (4 papers), Colorectal Cancer Treatments and Studies (4 papers) and Cutaneous Melanoma Detection and Management (3 papers). The work is most often cited by research in Health Informatics (970 citations), Health Information Management (316 citations), Radiology, Nuclear Medicine and Imaging (1.3k citations), Artificial Intelligence (1.2k citations) and Family Practice (68 citations). Kun‐Hsing Yu has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Isaac S. Kohane, Andrew L. Beam, M Snyder, Russ B. Altman, Christopher Ré, Gerald J. Berry, Daniel L. Rubin, Ce Zhang, Oren Miron and Rachel Wilf‐Miron. Their work appears in journals such as Journal of Proteome Research, Nature Communications, Molecular & Cellular Proteomics, Journal of Investigative Dermatology and Clinical Pharmacology & Therapeutics.

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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