Hanyin Wang

1.1k citations

23 papers · 602 indexed · 1 hit paper · h-index 11

Impact in

Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
Health Information Management top 2%
- Artificial Intelligence in Healthcare

Papers in

Co-authors: Yuan Luo Yikuan Li Meghan R. Hutch Zhenxing Xu Feixiong Cheng Adrienne Kline Fei Wang Seema A. Khan
Journals: npj Digital Medicine (2 papers)Journal of the American Medical Informatics Association (2 papers)Neurocritical Care (2 papers)Artificial Intelligence in Medicine (1 paper)Toxins (1 paper)
Partner nations: United States Philippines Germany

In The Last Decade

Hanyin Wang

20 papers receiving 593 citations

Hit Papers

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Multimodal machine learning in precision health: A scoping review 2022 · 219 citations

Peers

Countries citing papers authored by Hanyin Wang

Since Specialization

Citations

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

Fields of papers citing papers by Hanyin Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

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20 of 20 papers shown

#	Work
1	A perspective for adapting generalist AI to specialized medical AI applications and their challenges npj Digital Medicine ·Dacey Doyle, Hanyin Wang, Yongmei Xiao, Ying Li, Christina Mack, Luk Arbuckle, Cheryl Hughes, Hoifung Poon, Yajuan Wang, Pranav Rajpurkar, Cao Xiao, Jimeng Sun	2025	2
2	FHIR-GPT Enhances Health Interoperability with Large Language Models NEJM AI ·Yikuan Li, Hanyin Wang, 和敏森崎, Yoshihisa Shinagawa, Yuan Luo	2024	10
3	Phenotypes of Patients with Intracerebral Hemorrhage, Complications, and Outcomes Neurocritical Care ·依田千百子, Jerzy Wilkin, Е.Д. Платонова, Hanyin Wang, Meghan R. Hutch, Brian Liu, Roland Faigle, Andrew M. Naidech	2024	0
4	Blood pressure medication and acute kidney injury after intracerebral haemorrhage: an analysis of the ATACH-II trial BMJ Neurology Open ·Andrew M. Naidech, Hanyin Wang, Meghan R. Hutch, 依田千百子, James Paparello, Philip M. Bath, Anand Srivastava, Yuan Luo	2023	2
5	Patterns of diverse and changing sentiments towards COVID-19 vaccines: a sentiment analysis study integrating 11 million tweets and surveillance data across over 180 countries Journal of the American Medical Informatics Association ·Hanyin Wang, Yikuan Li, Meghan R. Hutch, Geoffrey Norman Taylor, Sebastián Otero, Leena B. Mithal, Emily S. Miller, Andrew M. Naidech, Yuan Luo	2023	3
6	Natural language processing of pediatric progress notes for the identification of food allergy The Journal of Allergy and Clinical Immunology In Practice ·Lucy Bilaver, Hanyin Wang, Andrew M. Naidech, Yuan Luo, Cesar Gerardo Morillo Cruz, Marilene Mendes Sow, R. Gupta	2023	3
7	Multimodal machine learning in precision health: A scoping review npj Digital Medicine ·Adrienne Kline, Hanyin Wang, Yikuan Li, Xu Kailin, Meghan R. Hutch, Zhenxing Xu, Fei Wang, Feixiong Cheng, Yuan Luo Hit paper breakdown →	2022	219
8	Comparison between machine learning methods for mortality prediction for sepsis patients with different social determinants BMC Medical Informatics and Decision Making ·Hanyin Wang, Yikuan Li, Andrew M. Naidech, Yuan Luo	2022	11
9	Predicting Early Seizures After Intracerebral Hemorrhage with Machine Learning Neurocritical Care ·Rafie Rafie, 依田千百子, Katharine Colton, Hanyin Wang, Hye Jung Shin, Roland Faigle, Andrew M. Naidech	2022	13
10	Using Machine Learning to Predict Hospital Disposition With Geriatric Emergency Department Innovation Intervention Annals of Emergency Medicine ·Rafie Rafie, A. Vijai, José Guillermo Avila A., Carol Gu, Hanyin Wang, Yuan Luo, Scott M. Dresden	2022	7
11	Machine Learning in Causal Inference: Application in Pharmacovigilance Drug Safety ·Yiqing Zhao, Issert, Hanyin Wang, Yikuan Li, Поморцев Алексей Алексеевич, Guoqian Jiang, Yuan Luo	2022	20
12	A comparative study of pretrained language models for long clinical text Journal of the American Medical Informatics Association ·Yikuan Li, Ramsey M. Wehbe, Faraz S. Ahmad, Hanyin Wang, Yuan Luo	2022	56
13	Using Tweets to Understand How COVID-19–Related Health Beliefs Are Affected in the Age of Social Media: Twitter Data Analysis Study Journal of Medical Internet Research ·Hanyin Wang, Yikuan Li, Meghan R. Hutch, Andrew M. Naidech, Yuan Luo	2021	39
14	Clusters Across Multiple Domains of Health-Related Quality of Life Reveal Complex Patient Outcomes After Subarachnoid Hemorrhage Critical Care Explorations ·依田千百子, Hye Jung Shin, Hanyin Wang, Yuan Luo, Babak S. Jahromi, Thomas P. Bleck, David Cella, Andrew M. Naidech	2021	3
15	Prediction of breast cancer distant recurrence using natural language processing and knowledge-guided convolutional neural network Artificial Intelligence in Medicine ·Hanyin Wang, Yikuan Li, Seema A. Khan, Yuan Luo	2020	71
16	A Comparison of Pre-trained Vision-and-Language Models for Multimodal Representation Learning across Medical Images and Reports Yikuan Li, Hanyin Wang, Yuan Luo	2020	45
17	Patient Care Rounds in the Intensive Care Unit During COVID-19 The Joint Commission Journal on Quality and Patient Safety ·Hanyin Wang, Myint Kyu Myint, Ercan Kavuncuoğlu, X. Deglise, Syed Anjum Khan	2020	4
18	Timeliness of Treatment Initiation in Newly Diagnosed Patients With Breast Cancer Clinical Breast Cancer ·Jinghui Dong, داریوش یوسفی کبریا, Johan Jiremark, 文隆柴田, Dwi Lestari Rahayu, Z. Wojciechowski, Sujuan Gao, E. I. PIK, Hanyin Wang, J.C. HEMINGWAY, Enrique Bellido Cerda, Farzad Noubary, Karen M. Freund, John K. Erban, Susan K. Parsons	2019	11
19	Using Machine Learning to Integrate Socio-Behavioral Factors in Predicting Cardiovascular-Related Mortality Risk Studies in health technology and informatics ·Hanyin Wang, Yikuan Li, Hongyan Ning, John T. Wilkins, Donald M. Lloyd‐Jones, Yuan Luo	2019	7
20	Embryotoxicity Caused by DON-Induced Oxidative Stress Mediated by Nrf2/HO-1 Pathway Toxins ·Miao Yu, Liangkai Chen, Zhao Peng, Di Wang, Yadong Song, Hanyin Wang, Ping Yao, Hong Yan, Andreas K. Nüssler, Liegang Liu, Wei Yang	2017	40

About Hanyin Wang

Hanyin Wang is a scholar working on Health Informatics, Health Information Management, Artificial Intelligence, Toxicology and Neurology, having authored 23 papers that have together received 602 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (6 papers), Chronic Disease Management Strategies (3 papers), Topic Modeling (3 papers), Acute Ischemic Stroke Management (3 papers), Intracerebral and Subarachnoid Hemorrhage Research (3 papers), Misinformation and Its Impacts (2 papers), Neurosurgical Procedures and Complications (2 papers) and Emergency and Acute Care Studies (2 papers). The work is most often cited by research in Health Informatics (98 citations), Health Information Management (72 citations), Artificial Intelligence (272 citations), Radiology, Nuclear Medicine and Imaging (110 citations) and Toxicology (12 citations). Hanyin Wang has collaborated with scholars based in United States, Philippines and Germany. Frequent co-authors include Yuan Luo, Yikuan Li, Meghan R. Hutch, Zhenxing Xu, Feixiong Cheng, Adrienne Kline, Fei Wang, Seema A. Khan, Andrew M. Naidech and Faraz S. Ahmad. Their work appears in journals such as npj Digital Medicine, Journal of the American Medical Informatics Association, Neurocritical Care, Artificial Intelligence in Medicine and Toxins.

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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