Min Jiang
Impact in
- Health Information Management top 0.5%
- Electronic Health Records Systems
- Artificial Intelligence top 1%
- Topic Modeling
- Natural Language Processing Techniques
- Machine Learning in Healthcare
- Advanced Text Analysis Techniques
- Semantic Web and Ontologies
Papers in
-
- Biomedical Text Mining and Ontologies 38
- Metabolism, Diabetes, and Cancer 4
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- Topic Modeling 30
- Natural Language Processing Techniques 25
- Semantic Web and Ontologies 7
- Machine Learning in Healthcare 4
- Co-authors
- Hua Xu (38 shared papers)Yonghui Wu (16 shared papers)Joshua C. Denny (24 shared papers)Buzhou Tang (13 shared papers)Yukun Chen (3 shared papers)Hongfang Liu (5 shared papers)Yaoyun Zhang (13 shared papers)Ergin Soysal (3 shared papers)
- Journals
- Journal of the American Medical Informatics Association (9 papers)BMC Medical Informatics and Decision Making (4 papers)Pharmacogenomics (3 papers)Journal of Statistical Computation and Simulation (2 papers)Chemistry of Materials (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Min Jiang
70 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 152
- Health Information Management 200
- Artificial Intelligence 1.3k
- Health Informatics 45
- Molecular Biology 1.2k
- Pharmacology 135
Countries citing papers authored by Min Jiang
This map shows the geographic impact of Min Jiang'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 Min Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Jiang more than expected).
Fields of papers citing papers by Min Jiang
This network shows the impact of papers produced by Min Jiang. 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 Min Jiang. The network helps show where Min Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Min Jiang, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 235 | |
| 2 | 2011 | 214 | |
| 3 | 2014 | 168 | |
| 4 | 2013 | 132 | |
| 5 | 2015 | 112 | |
| 6 | 2013 | 89 | |
| 7 | 2013 | 89 | |
| 8 | 2011 | 78 | |
| 9 | 2020 | 72 | |
| 10 | 2012 | 70 | |
| 11 | Clinical Named Entity Recognition Using Deep Learning Models. | 2017 | 69 |
| 12 | A Study of Neural Word Embeddings for Named Entity Recognition in Clinical Text. | 2015 | 66 |
| 13 | 2021 | 59 | |
| 14 | 2011 | 59 | |
| 15 | 2014 | 45 | |
| 16 | 2012 | 41 | |
| 17 | A study of transportability of an existing smoking status detection module across institutions. | 2012 | 35 |
| 18 | 2014 | 31 | |
| 19 | 2015 | 29 | |
| 20 | Extracting and standardizing medication information in clinical text - the MedEx-UIMA system. | 2014 | 29 |
About Min Jiang
Min Jiang is a scholar working on Molecular Biology, Artificial Intelligence, Genetics, Oncology and Cancer Research, having authored 73 papers that have together received 2.1k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (38 papers), Topic Modeling (30 papers), Natural Language Processing Techniques (25 papers), Semantic Web and Ontologies (7 papers), Metabolism, Diabetes, and Cancer (4 papers), Pharmacogenetics and Drug Metabolism (4 papers), Machine Learning in Healthcare (4 papers) and Electronic Health Records Systems (3 papers). The work is most often cited by research in Health Information Management (200 citations), Artificial Intelligence (1.3k citations), Health Informatics (45 citations), Molecular Biology (1.2k citations) and Pharmacology (135 citations). Min Jiang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Hua Xu, Yonghui Wu, Joshua C. Denny, Buzhou Tang, Yukun Chen, Hongfang Liu, Yaoyun Zhang, Ergin Soysal, Jingqi Wang and Serguei Pakhomov. Their work appears in journals such as Journal of the American Medical Informatics Association, BMC Medical Informatics and Decision Making, Pharmacogenomics, Journal of Statistical Computation and Simulation and Chemistry of Materials.
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.