Jake Luo

1.9k citations
80 papers · 1.2k · 1 hit paper · h-index 19

Impact in

Papers in

Jake Luo

65 papers receiving 1.2k citations

Jake Luo's Hit Papers

Big Data Application in Biomedical Research and Health Care: A Literature Review 2016 · 299 citations
2990+3+6Years since publication50100150200250

Peers

Jake Luo
Comparison fields: 5 of 150
  • Health Informatics 72
  • Health Information Management 169
  • Artificial Intelligence 442
  • Information Systems and Management 67
  • Toxicology 23
Replace Alex Bui with:
Alex Bui United States
Yu Rang Park South Korea
Qing Zeng‐Treitler United States
Mary Regina Boland United States
Thomas Ganslandt Germany
Zhe He United States
Prakash M. Nadkarni United States
Feichen Shen United States
Sooyoung Yoo South Korea
Shyam Visweswaran United States
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Citations per field
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Citations per year

Countries citing papers authored by Jake Luo

Since Specialization
Citations

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

Fields of papers citing papers by Jake Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jake Luo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jake Luo Line = papers co-authored together Jake Luo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Big Data Application in Biomedical Research and Health Care: A Literature Review
Hit paper breakdown →
2016299
2 2011106
3 202179
4 202160
5 201544
6 201139
7 201837
8 202132
9 201232
10
Extracting temporal constraints from clinical research eligibility criteria using conditional random fields.
201131
11 201927
12 201927
13 201624
14 202224
15 201924
16
Semi-Automatically Inducing Semantic Classes of Clinical Research Eligibility Criteria Using UMLS and Hierarchical Clustering.
201021
17 202119
18
Corpus-based Approach to Creating a Semantic Lexicon for Clinical Research Eligibility Criteria from UMLS.
201018
19 201418
20 202017

About Jake Luo

Jake Luo is a scholar working on Artificial Intelligence, Molecular Biology, General Health Professions, Public Health, Environmental and Occupational Health and Surgery, having authored 80 papers that have together received 1.2k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (11 papers), Topic Modeling (10 papers), Statistical Methods in Clinical Trials (6 papers), Metaheuristic Optimization Algorithms Research (6 papers), Evolutionary Algorithms and Applications (6 papers), Vestibular and auditory disorders (5 papers), Radiology practices and education (4 papers) and Tracheal and airway disorders (4 papers). The work is most often cited by research in Health Informatics (72 citations), Health Information Management (169 citations), Artificial Intelligence (442 citations), Information Systems and Management (67 citations) and Toxicology (23 citations). Jake Luo has collaborated with scholars based in United States, China and Saudi Arabia. Frequent co-authors include Min Wu, Yiqing Zhao, Deepika Gopukumar, Chunhua Weng, Stephen B. Johnson, Ling Tong, Kristen Osinski, Timothy B. Patrick, Xiaoying Wu and Mary Regina Boland. Their work appears in journals such as Otology & Neurotology, Journal of Biomedical Informatics, BMC Medical Informatics and Decision Making, International Journal of Environmental Research and Public Health and International Journal of Pediatric Otorhinolaryngology.

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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