Frank Meng
Impact in
- Artificial Intelligence top 10%
- AI in cancer detection
- Topic Modeling
- Semantic Web and Ontologies
- Natural Language Processing Techniques
Papers in
-
- Semantic Web and Ontologies 5
- Natural Language Processing Techniques 4
- Topic Modeling 4
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- Biomedical Text Mining and Ontologies 7
- Co-authors
- Wesley W. Chu (1 shared paper)Craig A. Morioka (5 shared papers)Ricky K. Taira (4 shared papers)William Hsu (3 shared papers)Hooshang Kangarloo (4 shared papers)Suzie El‐Saden (4 shared papers)John W. Harmon (2 shared papers)Alex Bui (4 shared papers)
- Journals
- Clinical Pharmacology & Therapeutics (2 papers)Drug and Alcohol Dependence (2 papers)Journal of Studies on Alcohol and Drugs (1 paper)Journal of Digital Imaging (1 paper)Patterns (1 paper)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Frank Meng
25 papers receiving 206 citations
Peers
Comparison fields: 5 of 73
- Health Informatics 8
- Artificial Intelligence 97
- Health Information Management 14
- Oncology 57
- Radiology, Nuclear Medicine and Imaging 47
Countries citing papers authored by Frank Meng
This map shows the geographic impact of Frank Meng'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 Frank Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank Meng more than expected).
Fields of papers citing papers by Frank Meng
This network shows the impact of papers produced by Frank Meng. 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 Frank Meng. The network helps show where Frank Meng may publish in the future.
Co-authors
The 25 scholars most cited alongside Frank Meng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 61 | |
| 2 | 1999 | 19 | |
| 3 | 2016 | 17 | |
| 4 | 2019 | 17 | |
| 5 | 2022 | 13 | |
| 6 | 2018 | 11 | |
| 7 | 2016 | 10 | |
| 8 | Generating models of surgical procedures using UMLS concepts and multiple sequence alignment. | 2005 | 9 |
| 9 | 2019 | 8 | |
| 10 | UCLA at TREC 2014 Clinical Decision Support Track: Exploring Language Models, Query Expansion, and Boosting | 2014 | 7 |
| 11 | 1999 | 5 | |
| 12 | 2005 | 5 | |
| 13 | 2020 | 5 | |
| 14 | 2015 | 5 | |
| 15 | 2017 | 4 | |
| 16 | Information Extraction Using Semantic Patterns for Populating Clinical Data Models. | 2004 | 3 |
| 17 | 2018 | 3 | |
| 18 | 2008 | 2 | |
| 19 | Determining word sequence variation patterns in clinical documents using multiple sequence alignment. | 2011 | 2 |
| 20 | A Continuous Markov Model Approach Using Individual Patient Data to Estimate Mean Sojourn Time of Lung Cancer. | 2015 | 1 |
About Frank Meng
Frank Meng is a scholar working on Artificial Intelligence, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology and Public Health, Environmental and Occupational Health, having authored 29 papers that have together received 212 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (7 papers), Semantic Web and Ontologies (5 papers), Natural Language Processing Techniques (4 papers), Topic Modeling (4 papers), Opioid Use Disorder Treatment (3 papers), Cancer Genomics and Diagnostics (3 papers), Colorectal Cancer Screening and Detection (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Health Informatics (8 citations), Artificial Intelligence (97 citations), Health Information Management (14 citations), Oncology (57 citations) and Radiology, Nuclear Medicine and Imaging (47 citations). Frank Meng has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Wesley W. Chu, Craig A. Morioka, Ricky K. Taira, William Hsu, Hooshang Kangarloo, Suzie El‐Saden, John W. Harmon, Alex Bui, James Sayre and Andrew A. Chen. Their work appears in journals such as Clinical Pharmacology & Therapeutics, Drug and Alcohol Dependence, Journal of Studies on Alcohol and Drugs, Journal of Digital Imaging and Patterns.
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.