Feichen Shen
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Health Information Management top 0.5%
- Artificial Intelligence in Healthcare
Papers in
-
- Biomedical Text Mining and Ontologies 38
- Bioinformatics and Genomic Networks 10
-
- Semantic Web and Ontologies 13
- Topic Modeling 11
- Natural Language Processing Techniques 7
- Machine Learning in Healthcare 5
- Co-authors
- Hongfang Liu (48 shared papers)Liwei Wang (26 shared papers)Sijia Liu (25 shared papers)Sunghwan Sohn (14 shared papers)Majid Rastegar-Mojarad (14 shared papers)Naveed Afzal (6 shared papers)Yanshan Wang (24 shared papers)Sungrim Moon (6 shared papers)
- Journals
- Journal of Biomedical Informatics (6 papers)Journal of the American Medical Informatics Association (3 papers)Journal of Medical Internet Research (2 papers)PLoS ONE (2 papers)BMC Medical Informatics and Decision Making (2 papers)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Feichen Shen
65 papers receiving 2.0k citations
Feichen Shen's Hit Papers
Peers
Comparison fields: 5 of 139
- Health Informatics 107
- Health Information Management 185
- Artificial Intelligence 902
- Toxicology 32
- Molecular Biology 644
Countries citing papers authored by Feichen Shen
This map shows the geographic impact of Feichen Shen'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 Feichen Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feichen Shen more than expected).
Fields of papers citing papers by Feichen Shen
This network shows the impact of papers produced by Feichen Shen. 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 Feichen Shen. The network helps show where Feichen Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Feichen Shen, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Clinical information extraction applications: A literature review Hit paper breakdown → | 2017 | 530 |
| 2 | A clinical text classification paradigm using weak supervision and deep representation Hit paper breakdown → | 2019 | 256 |
| 3 | 2018 | 235 | |
| 4 | 2020 | 117 | |
| 5 | 2018 | 84 | |
| 6 | 2018 | 83 | |
| 7 | 2019 | 37 | |
| 8 | 2020 | 36 | |
| 9 | 2020 | 36 | |
| 10 | 2013 | 34 | |
| 11 | 2018 | 29 | |
| 12 | 2016 | 27 | |
| 13 | Integrating Structured and Unstructured EHR Data Using an FHIR-based Type System: A Case Study with Medication Data. | 2018 | 26 |
| 14 | 2018 | 26 | |
| 15 | 2019 | 24 | |
| 16 | Leveraging Collaborative Filtering to Accelerate Rare Disease Diagnosis. | 2017 | 22 |
| 17 | 2013 | 22 | |
| 18 | 2019 | 21 | |
| 19 | 2018 | 20 | |
| 20 | 2019 | 20 |
About Feichen Shen
Feichen Shen is a scholar working on Molecular Biology, Artificial Intelligence, Genetics, Health Information Management and Computer Networks and Communications, having authored 67 papers that have together received 2.1k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (38 papers), Semantic Web and Ontologies (13 papers), Topic Modeling (11 papers), Bioinformatics and Genomic Networks (10 papers), Genomics and Rare Diseases (9 papers), Natural Language Processing Techniques (7 papers), Machine Learning in Healthcare (5 papers) and Electronic Health Records Systems (4 papers). The work is most often cited by research in Health Informatics (107 citations), Health Information Management (185 citations), Artificial Intelligence (902 citations), Toxicology (32 citations) and Molecular Biology (644 citations). Feichen Shen has collaborated with scholars based in United States, China and India. Frequent co-authors include Hongfang Liu, Liwei Wang, Sijia Liu, Sunghwan Sohn, Majid Rastegar-Mojarad, Naveed Afzal, Yanshan Wang, Sungrim Moon, Yuqun Zeng and Saeed Mehrabi. Their work appears in journals such as Journal of Biomedical Informatics, Journal of the American Medical Informatics Association, Journal of Medical Internet Research, PLoS ONE and BMC Medical Informatics and Decision Making.
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.