Kenneth Lai

1.1k total citations
27 papers, 762 citations indexed

About

Kenneth Lai is a scholar working on Pharmacology, Toxicology and Artificial Intelligence. According to data from OpenAlex, Kenneth Lai has authored 27 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pharmacology, 7 papers in Toxicology and 7 papers in Artificial Intelligence. Recurrent topics in Kenneth Lai's work include Drug-Induced Adverse Reactions (7 papers), Pharmacovigilance and Adverse Drug Reactions (7 papers) and Asthma and respiratory diseases (5 papers). Kenneth Lai is often cited by papers focused on Drug-Induced Adverse Reactions (7 papers), Pharmacovigilance and Adverse Drug Reactions (7 papers) and Asthma and respiratory diseases (5 papers). Kenneth Lai collaborates with scholars based in United States, United Kingdom and Israel. Kenneth Lai's co-authors include Li Zhou, Kimberly G. Blumenthal, Maxim Topaz, Foster Goss, Diane L. Seger, Paige G. Wickner, David W. Bates, Aleena Banerji, Sarah P. Slight and Frank Chang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Allergy and Clinical Immunology and Information Sciences.

In The Last Decade

Kenneth Lai

24 papers receiving 746 citations

Peers

Kenneth Lai
Foster Goss United States
Elliot G. Brown United Kingdom
Joseph M. Plasek United States
A Wisniewski United Kingdom
Abdulaziz Alhossan Saudi Arabia
Foster Goss United States
Kenneth Lai
Citations per year, relative to Kenneth Lai Kenneth Lai (= 1×) peers Foster Goss

Countries citing papers authored by Kenneth Lai

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenneth Lai

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

All Works

20 of 20 papers shown
1.
Lai, Kenneth, Leanne Hirshfield, Sadhana Puntambekar, et al.. (2024). When Text and Speech are Not Enough: A Multimodal Dataset of Collaboration in a Situated Task. SHILAP Revista de lepidopterología. 10.
2.
Wang, Qi, Kenneth Lai, & Chunlei Tang. (2022). Solving combinatorial optimization problems over graphs with BERT-Based Deep Reinforcement Learning. Information Sciences. 619. 930–946. 28 indexed citations
3.
Lai, Kenneth, Tim O’Gorman, Andrew Cowell, et al.. (2021). Designing a Uniform Meaning Representation for Natural Language Processing. KI - Künstliche Intelligenz. 35(3-4). 343–360. 16 indexed citations
4.
Lai, Kenneth, et al.. (2020). A Two-Level Interpretation of Modality in Human-Robot Dialogue. 4222–4238.
5.
Banerji, Aleena, Kenneth Lai, Yu Li, et al.. (2019). Natural Language Processing Combined with ICD-9-CM Codes as a Novel Method to Study the Epidemiology of Allergic Drug Reactions. The Journal of Allergy and Clinical Immunology In Practice. 8(3). 1032–1038.e1. 22 indexed citations
6.
Deng, Francis, Matthew Li, Adrian Wong, et al.. (2019). Quality of Documentation of Contrast Agent Allergies in Electronic Health Records. Journal of the American College of Radiology. 16(8). 1027–1035. 17 indexed citations
7.
Salazar, Alejandra, Mary G. Amato, Adam Wright, et al.. (2019). How often do prescribers include indications in drug orders? Analysis of 4 million outpatient prescriptions. American Journal of Health-System Pharmacy. 76(13). 970–979. 12 indexed citations
8.
Topaz, Maxim, Adam C. Schaffer, Kenneth Lai, et al.. (2018). Medical Malpractice Trends: Errors in Automated Speech Recognition. Journal of Medical Systems. 42(8). 153–153. 6 indexed citations
9.
Wong, Adrian, Diane L. Seger, Kenneth Lai, et al.. (2018). Drug Hypersensitivity Reactions Documented in Electronic Health Records within a Large Health System. The Journal of Allergy and Clinical Immunology In Practice. 7(4). 1253–1260.e3. 59 indexed citations
10.
Banerji, Aleena, Kimberly G. Blumenthal, Kenneth Lai, & Li Zhou. (2017). Epidemiology of ACE Inhibitor Angioedema Utilizing a Large Electronic Health Record. The Journal of Allergy and Clinical Immunology In Practice. 5(3). 744–749. 75 indexed citations
11.
Blumenthal, Kimberly G., Kenneth Lai, Mingshu Huang, et al.. (2017). Adverse and Hypersensitivity Reactions to Prescription Nonsteroidal Anti-Inflammatory Agents in a Large Health Care System. The Journal of Allergy and Clinical Immunology In Practice. 5(3). 737–743.e3. 56 indexed citations
12.
Acker, Warren W., Joseph M. Plasek, Kimberly G. Blumenthal, et al.. (2017). Prevalence of food allergies and intolerances documented in electronic health records. Journal of Allergy and Clinical Immunology. 140(6). 1587–1591.e1. 77 indexed citations
13.
Goss, Foster, Kenneth Lai, Maxim Topaz, et al.. (2017). A value set for documenting adverse reactions in electronic health records. Journal of the American Medical Informatics Association. 25(6). 661–669. 33 indexed citations
14.
Topaz, Maxim, Kenneth Lai, Dawn Dowding, et al.. (2016). Automated identification of wound information in clinical notes of patients with heart diseases: Developing and validating a natural language processing application. International Journal of Nursing Studies. 64. 25–31. 35 indexed citations
15.
Seger, Diane L., Foster Goss, Kenneth Lai, et al.. (2016). Standard Information Models for Representing Adverse Sensitivity Information in Clinical Documents. Methods of Information in Medicine. 55(2). 151–157. 6 indexed citations
16.
Topaz, Maxim, Kavita Radhakrishnan, Suzanne V. Blackley, et al.. (2016). Studying Associations Between Heart Failure Self-Management and Rehospitalizations Using Natural Language Processing. Western Journal of Nursing Research. 39(1). 147–165. 23 indexed citations
17.
Topaz, Maxim, Kenneth Lai, Neil Dhopeshwarkar, et al.. (2015). Clinicians’ Reports in Electronic Health Records Versus Patients’ Concerns in Social Media: A Pilot Study of Adverse Drug Reactions of Aspirin and Atorvastatin. Drug Safety. 39(3). 241–250. 21 indexed citations
18.
Lai, Kenneth, Maxim Topaz, Foster Goss, & Li Zhou. (2015). Automated misspelling detection and correction in clinical free-text records. Journal of Biomedical Informatics. 55. 188–195. 78 indexed citations
19.
Topaz, Maxim, Diane L. Seger, Sarah P. Slight, et al.. (2015). Rising drug allergy alert overrides in electronic health records: an observational retrospective study of a decade of experience. Journal of the American Medical Informatics Association. 23(3). 601–608. 89 indexed citations
20.
Plasek, Joseph M., Foster Goss, Kenneth Lai, et al.. (2015). Food entries in a large allergy data repository. Journal of the American Medical Informatics Association. 23(e1). e79–e87. 21 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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