Feichen Shen

3.4k total citations · 1 hit paper
67 papers, 2.0k citations indexed

About

Feichen Shen is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Feichen Shen has authored 67 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 42 papers in Artificial Intelligence and 11 papers in Genetics. Recurrent topics in Feichen Shen's work include Biomedical Text Mining and Ontologies (52 papers), Topic Modeling (22 papers) and Semantic Web and Ontologies (14 papers). Feichen Shen is often cited by papers focused on Biomedical Text Mining and Ontologies (52 papers), Topic Modeling (22 papers) and Semantic Web and Ontologies (14 papers). Feichen Shen collaborates with scholars based in United States, China and India. Feichen Shen's co-authors include Hongfang Liu, Yanshan Wang, Liwei Wang, Sijia Liu, Sunghwan Sohn, Majid Rastegar-Mojarad, Naveed Afzal, Sungrim Moon, Yuqun Zeng and Saeed Mehrabi and has published in prestigious journals such as PLoS ONE, The American Journal of Human Genetics and Journal of Medical Internet Research.

In The Last Decade

Feichen Shen

65 papers receiving 2.0k citations

Hit Papers

Clinical information extraction applications: A literatur... 2017 2026 2020 2023 2017 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feichen Shen United States 21 1.2k 965 280 148 145 67 2.0k
Guergana Savova United States 14 1.7k 1.3× 1.5k 1.6× 297 1.1× 84 0.6× 99 0.7× 27 2.3k
Shyam Visweswaran United States 23 721 0.6× 499 0.5× 243 0.9× 226 1.5× 158 1.1× 129 1.9k
Kirk Roberts United States 29 1.9k 1.5× 1.0k 1.1× 250 0.9× 180 1.2× 87 0.6× 136 3.0k
Philip V. Ogren United States 17 1.6k 1.3× 1.5k 1.5× 247 0.9× 57 0.4× 91 0.6× 25 2.1k
James Masanz United States 10 1.3k 1.0× 1.2k 1.2× 217 0.8× 63 0.4× 71 0.5× 13 1.7k
Marcelo Fiszman United States 27 1.7k 1.4× 1.9k 2.0× 286 1.0× 61 0.4× 125 0.9× 72 2.6k
Stefan Schulz Germany 22 1.5k 1.2× 1.5k 1.5× 346 1.2× 60 0.4× 91 0.6× 187 2.3k
Jianying Hu United States 25 1.0k 0.8× 590 0.6× 490 1.8× 338 2.3× 70 0.5× 77 2.6k
Lucia Sacchi Italy 26 593 0.5× 587 0.6× 455 1.6× 68 0.5× 138 1.0× 129 2.5k
Majid Rastegar-Mojarad United States 18 899 0.7× 796 0.8× 164 0.6× 80 0.5× 58 0.4× 48 1.5k

Countries citing papers authored by Feichen Shen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Feichen Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Feichen Shen. A scholar is included among the top collaborators of Feichen Shen 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 Feichen Shen. Feichen Shen 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.
Wang, Yanshan, Sunyang Fu, Feichen Shen, et al.. (2020). The 2019 n2c2/OHNLP Track on Clinical Semantic Textual Similarity: Overview. JMIR Medical Informatics. 8(11). e23375–e23375. 35 indexed citations
2.
Wen, Andrew, Liwei Wang, Huan He, et al.. (2020). An aberration detection-based approach for sentinel syndromic surveillance of COVID-19 and other novel influenza-like illnesses. Journal of Biomedical Informatics. 113. 103660–103660. 12 indexed citations
3.
Liu, Sijia, Yanshan Wang, Andrew Wen, et al.. (2020). Implementation of a Cohort Retrieval System for Clinical Data Repositories Using the Observational Medical Outcomes Partnership Common Data Model: Proof-of-Concept System Validation. JMIR Medical Informatics. 8(10). e17376–e17376. 17 indexed citations
4.
Peng, Suyuan, Feichen Shen, Andrew Wen, et al.. (2019). Detecting Lifestyle Risk Factors for Chronic Kidney Disease With Comorbidities: Association Rule Mining Analysis of Web-Based Survey Data. Journal of Medical Internet Research. 21(12). e14204–e14204. 20 indexed citations
5.
Shen, Feichen, Yiqing Zhao, Liwei Wang, et al.. (2019). Rare disease knowledge enrichment through a data-driven approach. BMC Medical Informatics and Decision Making. 19(1). 32–32. 20 indexed citations
6.
Shen, Feichen, Suyuan Peng, Andrew Wen, et al.. (2019). HPO2Vec+: Leveraging heterogeneous knowledge resources to enrich node embeddings for the Human Phenotype Ontology. Journal of Biomedical Informatics. 96. 103246–103246. 24 indexed citations
7.
Hong, Na, et al.. (2019). An Interactive Visualization Tool for HL7 FHIR Specification Browsing and Profiling. PubMed. 3(3). 329–344. 7 indexed citations
8.
Liu, Cong, Casey Ta, James R. Rogers, et al.. (2019). Ensembles of natural language processing systems for portable phenotyping solutions. Journal of Biomedical Informatics. 100. 103318–103318. 14 indexed citations
9.
Shen, Feichen, et al.. (2018). Incorporating Knowledge-Driven Insights into a Collaborative Filtering Model to Facilitate the Differential Diagnosis of Rare Diseases.. PubMed Central. 2018. 1505–1514. 5 indexed citations
10.
Shen, Feichen, David W. Larson, James M. Naessens, et al.. (2018). Detection of Surgical Site Infection Utilizing Automated Feature Generation in Clinical Notes. PubMed. 3(3). 267–282. 15 indexed citations
11.
Zhang, Yuji, Feichen Shen, Majid Rastegar-Mojarad, et al.. (2018). Systematic identification of latent disease-gene associations from PubMed articles. PLoS ONE. 13(1). e0191568–e0191568. 14 indexed citations
12.
Wang, Liwei, Majid Rastegar-Mojarad, Zhi‐Liang Ji, et al.. (2018). Detecting Pharmacovigilance Signals Combining Electronic Medical Records With Spontaneous Reports: A Case Study of Conventional Disease-Modifying Antirheumatic Drugs for Rheumatoid Arthritis. Frontiers in Pharmacology. 9. 875–875. 20 indexed citations
13.
Zhao, Yiqing, Yanshan Wang, Henry E. Wang, et al.. (2018). Annotating Cohort Data Elements with OHDSI Common Data Model to Promote Research Reproducibility. 1310–1317. 2 indexed citations
14.
Shen, Feichen, Sijia Liu, Yanshan Wang, et al.. (2018). Utilization of Electronic Medical Records and Biomedical Literature to Support the Diagnosis of Rare Diseases Using Data Fusion and Collaborative Filtering Approaches. JMIR Medical Informatics. 6(4). e11301–e11301. 25 indexed citations
15.
Shen, Feichen, et al.. (2017). Accelerating Rare Disease Diagnosis with Collaborative Filtering.. AMIA. 2 indexed citations
16.
Zeng, Yuqun, Xusheng Liu, Yanshan Wang, et al.. (2017). Recommending Education Materials for Diabetic Questions Using Information Retrieval Approaches. Journal of Medical Internet Research. 19(10). e342–e342. 9 indexed citations
17.
Rastegar-Mojarad, Majid, Sunghwan Sohn, Liwei Wang, et al.. (2017). Need of informatics in designing interoperable clinical registries. International Journal of Medical Informatics. 108. 78–84. 14 indexed citations
18.
Shen, Feichen, Hongfang Liu, Sunghwan Sohn, David W. Larson, & Yugyung Lee. (2016). Predicate Oriented Pattern Analysis for Biomedical Knowledge Discovery. Intelligent Information Management. 8(3). 66–85. 12 indexed citations
19.
Li, Dingcheng, Zhen Wang, Feichen Shen, M. Hassan Murad, & Hongfang Liu. (2014). Towards a multi-level framework for supporting systematic review — A pilot study. 43–50. 5 indexed citations
20.
Shen, Feichen, et al.. (2011). Identification of 129S6/SvEvTac-Specific Polymorphisms on Mouse Chromosome 11. DNA and Cell Biology. 31(3). 402–414. 2 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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