Dennis Shung

2.1k total citations · 1 hit paper
61 papers, 950 citations indexed

About

Dennis Shung is a scholar working on Artificial Intelligence, Gastroenterology and Health Informatics. According to data from OpenAlex, Dennis Shung has authored 61 papers receiving a total of 950 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 17 papers in Gastroenterology and 15 papers in Health Informatics. Recurrent topics in Dennis Shung's work include Gastrointestinal Bleeding Diagnosis and Treatment (16 papers), Artificial Intelligence in Healthcare and Education (15 papers) and Radiomics and Machine Learning in Medical Imaging (11 papers). Dennis Shung is often cited by papers focused on Gastrointestinal Bleeding Diagnosis and Treatment (16 papers), Artificial Intelligence in Healthcare and Education (15 papers) and Radiomics and Machine Learning in Medical Imaging (11 papers). Dennis Shung collaborates with scholars based in United States, Italy and Canada. Dennis Shung's co-authors include Mauro Giuffrè, Loren Laine, Joseph J.�Y. Sung, Alyssa Grimshaw, Benjamin H. Kann, Anurag Saraf, Deborah Plana, J. Kenneth Tay, Kisung You and Richard A. Taylor and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Internal Medicine and Gastroenterology.

In The Last Decade

Dennis Shung

51 papers receiving 930 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.

Optimization of hepatological clinical guidelines interpretation by large language models: a retrieval augmented generation-based framework

2024 79 citations Mauro Giuffrè, Miloš Ajčević et al. npj Digital Medicine profile →

Peers

Dennis Shung

RNMI

SURGE

GASTR

Ronit Brodie Israel

Sarah Enslin United States

Mohith Shamdas United Kingdom

Alice Bruynseels United Kingdom

Thushika Mahendiran United Kingdom

Rolv‐Ole Lindsetmo Norway

Yuqun Zeng China

Paras Malik India

Jiming Xu China

Ronit Brodie Israel

Dennis Shung

195 ×0.6

110 ×0.4

161 ×0.8

RNMI

156 ×0.9

SURGE

13 ×0.1

GASTR

Citations per year, relative to Dennis Shung Dennis Shung (= 1×) peers Ronit Brodie

Countries citing papers authored by Dennis Shung

Since Specialization

Citations

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

Fields of papers citing papers by Dennis Shung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dennis Shung

This figure shows the co-authorship network connecting the top 25 collaborators of Dennis Shung. A scholar is included among the top collaborators of Dennis Shung 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 Dennis Shung. Dennis Shung 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

Soroush, Ali, Mauro Giuffrè, Sunny Chung, & Dennis Shung. (2025). Generative Artificial Intelligence in Clinical Medicine and Impact on Gastroenterology. Gastroenterology. 169(3). 502–517.e1. 4 indexed citations

Giuffrè, Mauro, Kisung You, Zengchang Pang, et al.. (2025). Expert of Experts Verification and Alignment (EVAL) Framework for Large Language Models Safety in Gastroenterology. npj Digital Medicine. 8(1). 242–242. 2 indexed citations

Giuffrè, Mauro, Nicola Pugliese, Miloš Ajčević, et al.. (2025). From Guidelines to Real‐Time Conversation: Expert‐Validated Retrieval‐Augmented and Fine‐Tuned GPT ‐4 for Hepatitis C Management. Liver International. 45(10). e70349–e70349.

Sultan, Shahnaz, Dennis Shung, Jennifer M. Kolb, et al.. (2025). AGA Living Clinical Practice Guideline on Computer-Aided Detection–Assisted Colonoscopy. Gastroenterology. 168(4). 691–700. 2 indexed citations

Shung, Dennis & Marietta Iacucci. (2025). Artificial Intelligence in Gastroenterology and Hepatology: Potential and Perils. Gastroenterology. 169(3). 391–392.

Shung, Dennis, Kisung You, Neil S. Zheng, et al.. (2024). Validation of an Electronic Health Record–Based Machine Learning Model Compared With Clinical Risk Scores for Gastrointestinal Bleeding. Gastroenterology. 167(6). 1198–1212. 6 indexed citations

Chung, Sunny, Kisung You, Mauro Giuffrè, et al.. (2024). Human-Algorithmic Interaction Using a Large Language Model-Augmented Artificial Intelligence Clinical Decision Support System. 1–20. 23 indexed citations

Giuffrè, Mauro, Kisung You, Sunny Chung, et al.. (2024). Su1979 GUTGPT: NOVEL LARGE LANGUAGE MODEL PIPELINE OUTPERFORMS OTHER LARGE LANGUAGE MODELS IN ACCURACY AND SIMILARITY TO INTERNATIONAL EXPERTS FOR GUIDELINE RECOMMENDED MANAGEMENT OF PATIENTS WITH UPPER GASTROINTESTINAL BLEEDING. Gastroenterology. 166(5). S–889. 1 indexed citations

Soleymanjahi, Saeed, et al.. (2024). Tu2010 PROVIDER TRUST TOWARDS ADOPTING REAL TIME ARTIFICIAL INTELLIGENCE IN COLONOSCOPY: A SYSTEMATIC REVIEW. Gastroenterology. 166(5). S–1490.

10.

You, Kisung, Dennis Shung, & Mauro Giuffrè. (2024). On the Wasserstein Median of Probability Measures. Journal of Computational and Graphical Statistics. 34(1). 253–266. 1 indexed citations

11.

Shung, Dennis, et al.. (2024). Patient Perspective of Use of Artificial Intelligence During Colonoscopy. SHILAP Revista de lepidopterología. 4(1). 100543–100543. 1 indexed citations

12.

Giuffrè, Mauro, et al.. (2024). Systematic review: The use of large language models as medical chatbots in digestive diseases. Alimentary Pharmacology & Therapeutics. 60(2). 144–166. 23 indexed citations

13.

Robinson, Stephen, et al.. (2024). Su1183 A LOCAL LARGE LANGUAGE MODEL PIPELINE AUTOMATICALLY RISK STRATIFIES PANCREATIC CYSTS FOR POPULATION HEALTH MANAGEMENT FROM SERIAL RADIOLOGY REPORTS. Gastroenterology. 166(5). S–687.

14.

Zheng, Neil S., Wenjie Ma, Dennis Shung, Lisa L. Strate, & Andrew T. Chan. (2023). Sex, Race, and Ethnicity Differences in Patients Presenting With Diverticular Disease at Emergency Departments in the United States: A National Cross-Sectional Study. SHILAP Revista de lepidopterología. 3(2). 178–180. 2 indexed citations

15.

Giuffrè, Mauro & Dennis Shung. (2023). Harnessing the power of synthetic data in healthcare: innovation, application, and privacy. npj Digital Medicine. 6(1). 186–186. 148 indexed citations

16.

Li, Darrick K., Loren Laine, & Dennis Shung. (2023). Trends in Upper Gastrointestinal Bleeding in Patients on Primary Prevention Aspirin: A Nationwide Emergency Department Sample Analysis, 2016-2020. The American Journal of Medicine. 136(12). 1179–1186.e1. 6 indexed citations

17.

You, Kisung & Dennis Shung. (2022). Rdimtools: An R package for dimension reduction and intrinsic dimension estimation. Software Impacts. 14. 100414–100414. 6 indexed citations

18.

Zheng, Neil S., et al.. (2022). Disparities in Access to Endoscopy for Patients With Upper Gastrointestinal Bleeding Presenting to Emergency Departments. Gastroenterology. 164(7). 1044–1046.e4. 6 indexed citations

19.

Shung, Dennis & Michael F. Byrne. (2020). How Artificial Intelligence Will Impact Colonoscopy and Colorectal Screening. Gastrointestinal Endoscopy Clinics of North America. 30(3). 585–595. 12 indexed citations

20.

Shung, Dennis, et al.. (2019). Machine Learning to Predict Outcomes in Patients with Acute Gastrointestinal Bleeding: A Systematic Review. Digestive Diseases and Sciences. 64(8). 2078–2087. 43 indexed citations

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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