Jake Luo
- Health Informatics top 2%
- Artificial Intelligence top 5%
- Topic Modeling 10
- Evolutionary Algorithms and Applications 6
- Metaheuristic Optimization Algorithms Research 6
- Natural Language Processing Techniques 4
- Toxicology top 10%
-
- Biomedical Text Mining and Ontologies 11
-
- Statistical Methods in Clinical Trials 6
-
- Vestibular and auditory disorders 5
-
- Computational Drug Discovery Methods 4
- Co-authors
- Min WuYiqing ZhaoDeepika GopukumarChunhua WengStephen B. JohnsonLing TongKristen OsinskiTimothy B. Patrick
- Journals
- Otology & Neurotology (4 papers)Journal of Biomedical Informatics (3 papers)BMC Medical Informatics and Decision Making (3 papers)
- Partner nations
- United StatesChinaSaudi Arabia
In The Last Decade
Jake Luo
65 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Health Informatics 72
- Health Information Management 169
- Artificial Intelligence 442
- Information Systems and Management 67
- Toxicology 23
Countries citing papers authored by Jake Luo
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 0 | |
| 8 | 2022 | 1 | |
| 9 | 2022 | 2 | |
| 10 | 2022 | 24 | |
| 11 | 2021 | 32 | |
| 12 | 2021 | 3 | |
| 13 | 2021 | 5 | |
| 14 | 2020 | 17 | |
| 15 | 2018 | 10 | |
| 16 | Geographical Distribution and Trends of Clinical Trial Recruitment Sites in Developing and Developed Countries | 2017 | 4 |
| 17 | 2016 | 24 | |
| 18 | 2014 | 4 | |
| 19 | Extracting temporal constraints from clinical research eligibility criteria using conditional random fields. | 2011 | 31 |
| 20 | 2011 | 39 |
About Jake Luo
Jake Luo is a scholar working on Chemical Health and Safety, Toxicology, Otorhinolaryngology, Health Information Management and Artificial Intelligence, 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), Evolutionary Algorithms and Applications (6 papers), Statistical Methods in Clinical Trials (6 papers), Metaheuristic Optimization Algorithms Research (6 papers), Vestibular and auditory disorders (5 papers), Natural Language Processing Techniques (4 papers) and Computational Drug Discovery Methods (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, Mary Regina Boland and Dimitri Theodoratos. 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.