Yifan Peng

Yifan Peng

Cornell University

H-index: 32

North America-United States

About Yifan Peng

Yifan Peng, With an exceptional h-index of 32 and a recent h-index of 30 (since 2020), a distinguished researcher at Cornell University, specializes in the field of NLP, CV, machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Hidden flaws behind expert-level accuracy of gpt-4 vision in medicine

Uncovering Misattributed Suicide Causes through Annotation Inconsistency Detection in Death Investigation Notes

Identifying social determinants of health from clinical narratives: A study of performance, documentation ratio, and potential bias

Evaluating GPT-4 with Vision on Detection of Radiological Findings on Chest Radiographs

Leveraging generative AI for clinical evidence synthesis needs to ensure trustworthiness

Deep learning with noisy labels in medical prediction problems: a scoping review

Retrieval augmented scientific claim verification

A survey of recent methods for addressing AI fairness and bias in biomedicine

Yifan Peng Information

University

Position

Assistant Professor at Weill Cornell Medicine

Citations(all)

11204

Citations(since 2020)

10313

Cited By

4031

hIndex(all)

32

hIndex(since 2020)

30

i10Index(all)

57

i10Index(since 2020)

55

Email

University Profile Page

Cornell University

Google Scholar

View Google Scholar Profile

Yifan Peng Skills & Research Interests

NLP

CV

machine learning

Top articles of Yifan Peng

Title

Journal

Author(s)

Publication Date

Hidden flaws behind expert-level accuracy of gpt-4 vision in medicine

arXiv preprint arXiv:2401.08396

Qiao Jin

Fangyuan Chen

Yiliang Zhou

Ziyang Xu

Justin M Cheung

...

2024/1/16

Uncovering Misattributed Suicide Causes through Annotation Inconsistency Detection in Death Investigation Notes

arXiv preprint arXiv:2403.19432

Song Wang

Yiliang Zhou

Ziqiang Han

Cui Tao

Yunyu Xiao

...

2024/3/28

Identifying social determinants of health from clinical narratives: A study of performance, documentation ratio, and potential bias

Journal of Biomedical Informatics

Zehao Yu

Cheng Peng

Xi Yang

Chong Dang

Prakash Adekkanattu

...

2024/4/14

Evaluating GPT-4 with Vision on Detection of Radiological Findings on Chest Radiographs

arXiv preprint arXiv:2403.15528

Yiliang Zhou

Hanley Ong

Patrick Kennedy

Carol Wu

Jacob Kazam

...

2024/3/22

Leveraging generative AI for clinical evidence synthesis needs to ensure trustworthiness

Journal of Biomedical Informatics

Gongbo Zhang

Qiao Jin

Denis Jered McInerney

Yong Chen

Fei Wang

...

2024/4/10

Deep learning with noisy labels in medical prediction problems: a scoping review

Yishu Wei

Yu Deng

Cong Sun

Mingquan Lin

Hongmei Jiang

...

2024/3/19

Retrieval augmented scientific claim verification

JAMIA open

Hao Liu

Ali Soroush

Jordan G Nestor

Elizabeth Park

Betina Idnay

...

2024/4/1

A survey of recent methods for addressing AI fairness and bias in biomedicine

Yifan Yang

Mingquan Lin

Han Zhao

Yifan Peng

Furong Huang

...

2024/2/13

Improving Fairness of Automated Chest X-ray Diagnosis by Contrastive Learning

arXiv preprint arXiv:2401.15111

Mingquan Lin

Tianhao Li

Zhaoyi Sun

Gregory Holste

Ying Ding

...

2024/1/25

Confidence score: a data-driven measure for inclusive systematic reviews considering unpublished preprints

Jiayi Tong

Chongliang Luo

Yifei Sun

Rui Duan

M Elle Saine

...

2024/4/1

A span-based model for extracting overlapping PICO entities from randomized controlled trial publications

Journal of the American Medical Informatics Association

Gongbo Zhang

Yiliang Zhou

Yan Hu

Hua Xu

Chunhua Weng

...

2024/5/1

Less likely brainstorming: Using language models to generate alternative hypotheses

Proceedings of the conference. Association for Computational Linguistics. Meeting

Liyan Tang

Yifan Peng

Yanshan Wang

Ying Ding

Greg Durrett

...

2023/7

How does pruning impact long-tailed multi-label medical image classifiers?

Gregory Holste

Ziyu Jiang

Ajay Jaiswal

Maria Hanna

Shlomo Minkowitz

...

2023/10/1

Attend who is weak: Pruning-assisted medical image localization under sophisticated and implicit imbalances

Ajay Jaiswal

Tianlong Chen

Justin F Rousseau

Yifan Peng

Ying Ding

...

2023

Method and system of building hospital-scale chest X-ray database for entity extraction and weakly-supervised classification and localization of common thorax diseases

2023/2/21

Enhancing thoracic disease detection using chest X-rays from PubMed Central Open Access

Computers in Biology and Medicine

Mingquan Lin

Bojian Hou

Swati Mishra

Tianyuan Yao

Yuankai Huo

...

2023/6/1

AI-generated text may have a role in evidence-based medicine

Nature medicine

Yifan Peng

Justin F Rousseau

Edward H Shortliffe

Chunhua Weng

2023/7

Utilizing Longitudinal Chest X-Rays and Reports to Pre-fill Radiology Reports

Qingqing Zhu

Tejas Sudharshan Mathai

Pritam Mukherjee

Yifan Peng

Ronald M Summers

...

2023/10/1

Adopting and expanding ethical principles for generative artificial intelligence from military to healthcare

David Oniani

Jordan Hilsman

Yifan Peng

Ronald K Poropatich

Jeremy C Pamplin

...

2023/12/2

Comparison of state-of-the-art neural network survival models with the pooled cohort equations for cardiovascular disease risk prediction

BMC Medical Research Methodology

Yu Deng

Lei Liu

Hongmei Jiang

Yifan Peng

Yishu Wei

...

2023/1/24

See List of Professors in Yifan Peng University(Cornell University)

Co-Authors

H-index: 78
Cathy Wu

Cathy Wu

University of Delaware

H-index: 57
Le Lu

Le Lu

Johns Hopkins University

H-index: 52
K Vijay-Shanker

K Vijay-Shanker

University of Delaware

H-index: 47
Karin Verspoor

Karin Verspoor

RMIT University

H-index: 43
Cecilia Arighi

Cecilia Arighi

University of Delaware

H-index: 28
Carolyn Mattingly

Carolyn Mattingly

North Carolina State University

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