Yonghui Wu

32.2k total citations · 6 hit papers
171 papers, 10.6k citations indexed

About

Yonghui Wu is a scholar working on Artificial Intelligence, Molecular Biology and Health Information Management. According to data from OpenAlex, Yonghui Wu has authored 171 papers receiving a total of 10.6k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Artificial Intelligence, 59 papers in Molecular Biology and 17 papers in Health Information Management. Recurrent topics in Yonghui Wu's work include Topic Modeling (58 papers), Biomedical Text Mining and Ontologies (53 papers) and Natural Language Processing Techniques (52 papers). Yonghui Wu is often cited by papers focused on Topic Modeling (58 papers), Biomedical Text Mining and Ontologies (53 papers) and Natural Language Processing Techniques (52 papers). Yonghui Wu collaborates with scholars based in United States, China and United Kingdom. Yonghui Wu's co-authors include Ruoming Pang, Zhifeng Chen, Hua Xu, Yu Zhang, Ron J. Weiss, Chung‐Cheng Chiu, Wei Han, James Qin, Mike Schuster and Anmol Gulati and has published in prestigious journals such as Nature, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Yonghui Wu

160 papers receiving 9.8k citations

Hit Papers

5 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.

Conformer: Convolution-augmented Transformer for Speech Recognition

2020 1.7k citations Anmol Gulati, James Qin et al. profile →
Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions

2018 1.4k citations Jonathan Shen, Ruoming Pang et al. profile →
Google’s Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation

2017 896 citations Yonghui Wu, Zhifeng Chen et al. profile →
A large language model for electronic health records

2022 434 citations Xi Yang, Aokun Chen et al. npj Digital Medicine profile →
LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech

2019 401 citations Ron J. Weiss, Jia Ye et al. profile →
Streaming End-to-end Speech Recognition for Mobile Devices

2019 345 citations Tara N. Sainath, Anjuli Kannan et al. profile →

Peers

Countries citing papers authored by Yonghui Wu

Since Specialization

Citations

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

Fields of papers citing papers by Yonghui Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yonghui Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yonghui Wu. A scholar is included among the top collaborators of Yonghui Wu 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 Yonghui Wu. Yonghui Wu 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	Scaling up biomedical vision-language models: Fine-tuning, instruction tuning, and multi-modal learning 2025 ·Journal of Biomedical Informatics ·Peng Cheng, Kai Zhang, Myung Soo Lyu, Hongfang Liu, Lichao Sun, Yonghui Wu	0
2	Protocol for a Single-Arm Pilot Clinical Trial: Developing and Evaluating a Machine Learning Opioid Prediction & Risk-Stratification E-Platform (DEMONSTRATE) 2025 ·Journal of Clinical Medicine ·Jung Hwa Hong, Debbie L. Wilson, Khoa A. Nguyen, Walid F. Gellad, (unknown), Laura G. Militello, (unknown), Christopher A. Harle, (unknown), Eric I. Rosenberg, Siegfried Schmidt, Chung‐Chou H. Chang, Gerald Cochran, Yonghui Wu, Stephanie A. S. Staras, Courtney C. Kuza, Wei‐Hsuan Lo‐Ciganic	0
3	Study on the multifractal characterization and seepage of the shale matrix: A case study of the Longmaxi Formation in southwestern Sichuan Basin, China 2024 ·Geoenergy Science and Engineering ·(unknown), Zhenxue Jiang, Zhikai Liang, (unknown), Yonghui Wu, Xuewen Shi, Xianggang Duan, (unknown), (unknown)	3
4	Deep learning for identifying personal and family history of suicidal thoughts and behaviors from EHRs 2024 ·npj Digital Medicine ·Prakash Adekkanattu, Al’ona Furmanchuk, Yonghui Wu, (unknown), Braja Gopal Patra, (unknown), (unknown), Grace Hsin‐Min Wang, (unknown), (unknown), Yuan Luo, Theresa L. Walunas, Wei‐Hsuan Lo‐Ciganic, (unknown), Jiang Bian, Yuhua Bao, Mark G. Weiner, David W. Oslin, (unknown)	4
5	Combining Federated Machine Learning and Qualitative Methods to Investigate Novel Pediatric Asthma Subtypes: Protocol for a Mixed Methods Study 2024 ·JMIR Research Protocols ·Jie Xu, (unknown), (unknown), (unknown), Yonghui Wu, David A. Fedele, (unknown), Jennifer N. Fishe	0
6	Generative large language models are all-purpose text analytics engines: text-to-text learning is all your need 2024 ·Journal of the American Medical Informatics Association ·Peng Cheng, Xi Yang, Aokun Chen, Zehao Yu, Kaleb E Smith, Anthony Costa, Mona G. Flores, Jiang Bian, Yonghui Wu	10
7	Model tuning or prompt Tuning? a study of large language models for clinical concept and relation extraction 2024 ·Journal of Biomedical Informatics ·Peng Cheng, Xi Yang, Kaleb E Smith, Zehao Yu, Aokun Chen, Jiang Bian, Yonghui Wu	26
8	Identifying social determinants of health from clinical narratives: A study of performance, documentation ratio, and potential bias 2024 ·Journal of Biomedical Informatics ·Zehao Yu, Peng Cheng, Xi Yang, (unknown), Prakash Adekkanattu, Braja Gopal Patra, Yifan Peng, Jyotishman Pathak, Debbie L. Wilson, Ching‐Yuan Chang, Wei‐Hsuan Lo‐Ciganic, Thomas J. George, William R. Hogan, Yi Guo, Jiang Bian, Yonghui Wu	12
9	Glycyrrhizae Radix et Rhizoma: The popular occurrence of herbal medicine applied in classical prescriptions 2023 ·Phytotherapy Research ·Luying He, (unknown), Yang Zhang, Man Chen, (unknown), Yonghui Wu, (unknown), Zhangfeng Zhong, Wen Tan	16
10	The role of health system penetration rate in estimating the prevalence of type 1 diabetes in children and adolescents using electronic health records 2023 ·Journal of the American Medical Informatics Association ·(unknown), Tianchen Lyu, (unknown), (unknown), William T. Donahoo, (unknown), Yonghui Wu, William R. Hogan, Mattia Prosperi, Desmond Schatz, Mark A. Atkinson, Michael J. Haller, Elizabeth Shenkman, Yi Guo, Jiang Bian, Hui Shao	1
11	Clinical concept and relation extraction using prompt-based machine reading comprehension 2023 ·Journal of the American Medical Informatics Association ·Peng Cheng, Xi Yang, Zehao Yu, Jiang Bian, William R. Hogan, Yonghui Wu	17
12	A study of generative large language model for medical research and healthcare 2023 ·npj Digital Medicine ·Peng Cheng, Xi Yang, Aokun Chen, Kaleb Smith, (unknown), Anthony Costa, Cheryl Martin, Mona G. Flores, Ying Zhang, Tanja Magoč, Gloria Lipori, Duane A. Mitchell, Naykky Singh Ospina, Mustafa M. Ahmed, William R. Hogan, Elizabeth Shenkman, Yi Guo, Jiang Bian, Yonghui Wu	186
13	Clinical Prediction Models for Hospital-Induced Delirium Using Structured and Unstructured Electronic Health Record Data: Protocol for a Development and Validation Study 2023 ·JMIR Research Protocols ·(unknown), (unknown), (unknown), Mattia Prosperi, Yonghui Wu, Tanja Magoč, Ragnhildur I. Bjarnadóttir, Robert Lucero	4
14	Dual-mode ASR: Unify and Improve Streaming ASR with Full-context Modeling 2021 ·International Conference on Learning Representations ·Jiahui Yu, Wei Han, Anmol Gulati, Chung‐Cheng Chiu, Bo Li, Tara N. Sainath, Yonghui Wu, Ruoming Pang	5
15	Conformer: Convolution-augmented Transformer for Speech Recognition breakdown → 2020 ·Anmol Gulati, James Qin, Chung‐Cheng Chiu, Niki Parmar, Yu Zhang, Jiahui Yu, Wei Han, Shibo Wang, Zhengdong Zhang, Yonghui Wu, Ruoming Pang	1668
16	Measurement of Semantic Textual Similarity in Clinical Texts: Comparison of Transformer-Based Models 2020 ·JMIR Medical Informatics ·Xi Yang, Xing He, Hansi Zhang, (unknown), Jiang Bian, Yonghui Wu	30
17	Large-Scale Multilingual Speech Recognition with a Streaming End-to-End Model 2019 ·Anjuli Kannan, (unknown), Tara N. Sainath, Eugene Weinstein, Bhuvana Ramabhadran, Yonghui Wu, Ankur Bapna, Zhifeng Chen, (unknown)	107
18	EVALUATION OF THE EFFECTS OF FTO AND ENVIRONMENT ON BODY MASS INDEX (BMI) IN A MULTI-ETHNIC COHORT OF OLDER ADULTS 2018 ·Europe PMC (PubMed Central) ·(unknown), Catherine M. Pirkle, Yonghui Wu, (unknown), Iona Cheng, (unknown), Le Liu	0
19	Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis 2018 ·Neural Information Processing Systems ·Jia Ye, Yu Zhang, Ron J. Weiss, Quan Wang, Jonathan Shen, Fei Ren, Zhifeng Chen, Patrick Nguyen, Ruoming Pang, Ignacio López Moreno, Yonghui Wu	90
20	Large-scale prediction of adverse drug reactions using chemical, biological, and phenotypic properties of drugs 2012 ·Journal of the American Medical Informatics Association ·Mei Liu, Yonghui Wu, Yukun Chen, Jingchun Sun, Zhongming Zhao, (unknown), Michael E. Matheny, Hua Xu	229

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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