Stephen Wu

2.1k total citations · 1 hit paper
49 papers, 1.3k citations indexed

About

Stephen Wu is a scholar working on Artificial Intelligence, Molecular Biology and Health Information Management. According to data from OpenAlex, Stephen Wu has authored 49 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 34 papers in Molecular Biology and 4 papers in Health Information Management. Recurrent topics in Stephen Wu's work include Biomedical Text Mining and Ontologies (31 papers), Topic Modeling (24 papers) and Natural Language Processing Techniques (16 papers). Stephen Wu is often cited by papers focused on Biomedical Text Mining and Ontologies (31 papers), Topic Modeling (24 papers) and Natural Language Processing Techniques (16 papers). Stephen Wu collaborates with scholars based in United States, China and Japan. Stephen Wu's co-authors include Hongfang Liu, Siddhartha Jonnalagadda, Sunghwan Sohn, Hua Xu, Qiang Wei, Jingcheng Du, Zongcheng Ji, Christopher G. Chute, Yang Xiang and Kavishwar B. Wagholikar and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Stephen Wu

47 papers receiving 1.2k 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.

Deep learning in clinical natural language processing: a methodical review

2019 291 citations Stephen Wu, Kirk Roberts et al. Journal of the American Medical Informatics Association profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Stephen Wu United States	20	781	612	153	88	82	49	1.3k
Siddhartha Jonnalagadda United States	22	868 1.1×	644 1.1×	164 1.1×	118 1.3×	58 0.7×	51	1.5k
Sungrim Moon United States	17	755 1.0×	532 0.9×	215 1.4×	155 1.8×	92 1.1×	48	1.2k
Majid Rastegar-Mojarad United States	18	899 1.2×	796 1.3×	164 1.1×	80 0.9×	54 0.7×	48	1.5k
Imre Solti United States	20	734 0.9×	676 1.1×	224 1.5×	86 1.0×	58 0.7×	35	1.4k
Kavishwar B. Wagholikar United States	20	596 0.8×	461 0.8×	283 1.8×	96 1.1×	110 1.3×	62	1.3k
James Masanz United States	10	1.3k 1.6×	1.2k 1.9×	217 1.4×	63 0.7×	94 1.1×	13	1.7k
Hercules Dalianis Sweden	23	1.3k 1.7×	796 1.3×	287 1.9×	93 1.1×	105 1.3×	124	1.8k
Jingcheng Du United States	19	729 0.9×	414 0.7×	158 1.0×	107 1.2×	83 1.0×	63	1.5k
Saeed Mehrabi United States	9	517 0.7×	337 0.6×	129 0.8×	93 1.1×	90 1.1×	15	796
Sergey Goryachev United States	17	623 0.8×	531 0.9×	212 1.4×	39 0.4×	67 0.8×	30	1.3k

Countries citing papers authored by Stephen Wu

Since Specialization

Citations

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

Fields of papers citing papers by Stephen Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Wu. A scholar is included among the top collaborators of Stephen 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 Stephen Wu. Stephen Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wu, Stephen, et al.. (2023). An Evaluation of the Relationship Between Medication Regimen Complexity as Measured by the MRC-ICU to Medication Errors in Critically Ill Patients. Hospital Pharmacy. 58(6). 569–574. 2 indexed citations

Goldman, Matthew L., Marilyn D. Thomas, Stephanie Felder, et al.. (2022). Field Visit Contact Rate by Mobile Crisis Teams as a Crisis System Performance Metric. Psychiatric Services. 74(7). 756–759. 1 indexed citations

Ji, Zongcheng, et al.. (2021). A Discrete Joint Model for Entity and Relation Extraction from Clinical Notes.. PubMed. 2021. 315–324. 2 indexed citations

Wang, Qiong, Zongcheng Ji, Jingqi Wang, et al.. (2020). A study of entity-linking methods for normalizing Chinese diagnosis and procedure terms to ICD codes. Journal of Biomedical Informatics. 105. 103418–103418. 28 indexed citations

Xiang, Yang, Hangyu Ji, Yujia Zhou, et al.. (2020). Asthma Exacerbation Prediction and Risk Factor Analysis Based on a Time-Sensitive, Attentive Neural Network: Retrospective Cohort Study. Journal of Medical Internet Research. 22(7). e16981–e16981. 35 indexed citations

Xu, Jun, Zhiheng Li, Qiang Wei, et al.. (2019). Applying a deep learning-based sequence labeling approach to detect attributes of medical concepts in clinical text. BMC Medical Informatics and Decision Making. 19(S5). 236–236. 19 indexed citations

Wu, Stephen, Kirk Roberts, Surabhi Datta, et al.. (2019). Deep learning in clinical natural language processing: a methodical review. Journal of the American Medical Informatics Association. 27(3). 457–470. 291 indexed citations breakdown →

Wu, Stephen, Sijia Liu, Sunghwan Sohn, et al.. (2018). Modeling asynchronous event sequences with RNNs. Journal of Biomedical Informatics. 83. 167–177. 28 indexed citations

Wang, Yanshan, et al.. (2016). A Part-Of-Speech term weighting scheme for biomedical information retrieval. Journal of Biomedical Informatics. 63. 379–389. 27 indexed citations

10.

Zhu, Dongqing, Stephen Wu, Ben Carterette, & Hongfang Liu. (2014). Using large clinical corpora for query expansion in text-based cohort identification. Journal of Biomedical Informatics. 49. 275–281. 26 indexed citations

11.

Wang, Liguo, Junsheng Chen, Chen Wang, et al.. (2014). MACE: model based analysis of ChIP-exo. Nucleic Acids Research. 42(20). e156–e156. 65 indexed citations

12.

Wu, Stephen, Timothy A. Miller, James Masanz, et al.. (2014). Negation’s Not Solved: Generalizability Versus Optimizability in Clinical Natural Language Processing. PLoS ONE. 9(11). e112774–e112774. 75 indexed citations

13.

Jadhav, Ashutosh, Stephen Wu, Amit Sheth, & Jyotishman Pathak. (2014). Online Information Seeking for Cardiovascular Diseases: A Case Study from Mayo Clinic. Studies in health technology and informatics. 205. 702–6. 2 indexed citations

14.

Jadhav, Ashutosh, Alexander Fiksdal, Ashok Kumbamu, et al.. (2014). Comparative Analysis of Online Health Queries Originating From Personal Computers and Smart Devices on a Consumer Health Information Portal. Journal of Medical Internet Research. 16(7). e160–e160. 33 indexed citations

15.

Wu, Stephen, Sunghwan Sohn, K. E. Ravikumar, et al.. (2013). Automated chart review for asthma cohort identification using natural language processing: an exploratory study. Annals of Allergy Asthma & Immunology. 111(5). 364–369. 56 indexed citations

16.

Wu, Stephen, Vinod C. Kaggal, Dmitriy Dligach, et al.. (2013). A common type system for clinical natural language processing. Journal of Biomedical Semantics. 4(1). 1–1. 28 indexed citations

17.

Wu, Stephen, Dongqing Zhu, William Hersh, & Hongfang Liu. (2013). Clinical Information Retrieval with Split-layer Language Models. 2 indexed citations

18.

Wu, Stephen, James Masanz, K. E. Ravikumar, & Hongfang Liu. (2012). Three Questions About Clinical Information Retrieval.. Text REtrieval Conference. 1 indexed citations

19.

Jonnalagadda, Siddhartha, Trevor Cohen, Stephen Wu, & Graciela Gonzalez‐Hernandez. (2011). Enhancing clinical concept extraction with distributional semantics. Journal of Biomedical Informatics. 45(1). 129–140. 88 indexed citations

20.

Wu, Stephen, Vinod C. Kaggal, Guergana Savova, et al.. (2011). Generality and reuse in a common type system for clinical natural language processing. 2003. 27–34. 3 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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