Jake Luo

1.9k total citations · 1 hit paper
80 papers, 1.2k citations indexed

About

Jake Luo is a scholar working on Artificial Intelligence, Molecular Biology and General Health Professions. According to data from OpenAlex, Jake Luo has authored 80 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 15 papers in Molecular Biology and 9 papers in General Health Professions. Recurrent topics in Jake Luo's work include Biomedical Text Mining and Ontologies (11 papers), Topic Modeling (10 papers) and Evolutionary Algorithms and Applications (6 papers). Jake Luo is often cited by papers focused on Biomedical Text Mining and Ontologies (11 papers), Topic Modeling (10 papers) and Evolutionary Algorithms and Applications (6 papers). Jake Luo collaborates with scholars based in United States, China and Saudi Arabia. Jake Luo's co-authors include Min Wu, Yiqing Zhao, Deepika Gopukumar, Chunhua Weng, Stephen B. Johnson, Ling Tong, Timothy B. Patrick, Kristen Osinski, Mary Regina Boland and Ron A. Cisler and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and Sensors.

In The Last Decade

Jake Luo

65 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Big Data Application in Biomedical Research and Health Care: A Literature Review

2016 299 citations Jake Luo, Min Wu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jake Luo United States	19	442	324	175	169	131	80	1.2k
Travis B. Murdoch Canada	10	300 0.7×	312 1.0×	148 0.8×	277 1.6×	111 0.8×	11	1.5k
Taxiarchis Botsis United States	20	569 1.3×	412 1.3×	193 1.1×	387 2.3×	136 1.0×	59	1.9k
Haridimos Kondylakis Greece	22	636 1.4×	167 0.5×	154 0.9×	142 0.8×	94 0.7×	136	1.6k
Syed Sibte Raza Abidi Canada	17	454 1.0×	265 0.8×	162 0.9×	264 1.6×	92 0.7×	165	1.4k
Yu Rang Park South Korea	20	217 0.5×	287 0.9×	165 0.9×	122 0.7×	95 0.7×	121	1.6k
Lefteris Koumakis Greece	21	229 0.5×	179 0.6×	147 0.8×	134 0.8×	96 0.7×	75	1.0k
Zhe He United States	24	795 1.8×	663 2.0×	170 1.0×	161 1.0×	81 0.6×	203	2.3k
Soo-Yong Shin South Korea	23	264 0.6×	400 1.2×	121 0.7×	122 0.7×	70 0.5×	96	1.6k
Thomas Ganslandt Germany	20	462 1.0×	400 1.2×	371 2.1×	432 2.6×	282 2.2×	109	1.8k
Marie‐Christine Jaulent France	20	540 1.2×	594 1.8×	172 1.0×	283 1.7×	70 0.5×	175	1.6k

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-authorship network of co-authors of Jake Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Jake Luo. A scholar is included among the top collaborators of Jake Luo 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 Jake Luo. Jake Luo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Luo, Jake, et al.. (2025). Terrain-aware morphology searching algorithm for self-reconfigurable modular robot in dynamic environment. Applied Soft Computing. 186. 114182–114182.

Luo, Jake, et al.. (2025). Benchmarking Large Language Models from Open and Closed Source Models to Apply Data Annotation for Free-Text Criteria in Healthcare. Future Internet. 17(4). 138–138.

Luo, Jake, et al.. (2025). Deep Differentiable Symbolic Regression Neural Network. Neurocomputing. 629. 129671–129671. 2 indexed citations

Luo, Jake, et al.. (2024). Advancing personalized healthcare: leveraging explainable AI for BPPV risk assessment. Health Information Science and Systems. 13(1). 1–1. 2 indexed citations

Bock, Jonathan M., et al.. (2023). Evaluation of Social Determinants of Health on Dysphagia Care Pathways at a Tertiary Care Facility. The Laryngoscope. 134(3). 1139–1146. 3 indexed citations

Friedland, David R., et al.. (2023). Factors associated with delayed referral and hearing rehabilitation for congenital sensorineural hearing loss. International Journal of Pediatric Otorhinolaryngology. 175. 111770–111770. 2 indexed citations

Wang, Lianhong, et al.. (2023). Multivariate Cognitive Response Framework for Student Performance Prediction on MOOC. IEEE Transactions on Knowledge and Data Engineering. 36(3). 1221–1233. 1 indexed citations

Wu, Min, et al.. (2022). Proposed Questions to Assess the Extent of Knowledge in Understanding the Radiology Report Language. International Journal of Environmental Research and Public Health. 19(18). 11808–11808. 1 indexed citations

Luo, Jake, et al.. (2022). AB-GEP: Adversarial bandit gene expression programming for symbolic regression. Swarm and Evolutionary Computation. 75. 101197–101197. 2 indexed citations

10.

Luo, Jake, et al.. (2022). Exploring hidden semantics in neural networks with symbolic regression. Proceedings of the Genetic and Evolutionary Computation Conference. 982–990. 1 indexed citations

11.

Flanary, Valerie A., et al.. (2021). The impact of social determinants of health and clinical comorbidities on post-tympanotomy tube otorrhea. International Journal of Pediatric Otorhinolaryngology. 152. 110986–110986. 5 indexed citations

12.

Luo, Jake, et al.. (2021). Predicting Risk of Stroke From Lab Tests Using Machine Learning Algorithms: Development and Evaluation of Prediction Models. JMIR Formative Research. 5(12). e23440–e23440. 32 indexed citations

13.

Alanzi, Turki M, et al.. (2021). Patients’ unmet information needs and gaps of obstetric ultrasound exam: A qualitative content analysis of social media platforms. Informatics in Medicine Unlocked. 28. 100830–100830. 3 indexed citations

14.

Patrick, Timothy B., et al.. (2020). Full Radiology Report through Patient Web Portal: A Literature Review. International Journal of Environmental Research and Public Health. 17(10). 3673–3673. 17 indexed citations

15.

Zhao, Yiqing, et al.. (2018). Using data-driven sublanguage pattern mining to induce knowledge models: application in medical image reports knowledge representation. BMC Medical Informatics and Decision Making. 18(1). 61–61. 10 indexed citations

16.

Luo, Jake, Min Wu, & Weiheng Chen. (2017). Geographical Distribution and Trends of Clinical Trial Recruitment Sites in Developing and Developed Countries. 11(1). 4 indexed citations

17.

Luo, Jake, Christina Eldredge, Chi C. Cho, & Ron A. Cisler. (2016). Population Analysis of Adverse Events in Different Age Groups Using Big Clinical Trials Data. JMIR Medical Informatics. 4(4). e30–e30. 24 indexed citations

18.

Luo, Jake, et al.. (2015). SimQ: Real-Time Retrieval of Similar Consumer Health Questions. Journal of Medical Internet Research. 17(2). e43–e43. 12 indexed citations

19.

Luo, Jake, Stephen B. Johnson, Albert M. Lai, & Chunhua Weng. (2011). Extracting temporal constraints from clinical research eligibility criteria using conditional random fields.. PubMed Central. 31 indexed citations

20.

Luo, Jake, Meliha Yetisgen-Yildiz, & Chunhua Weng. (2011). Dynamic categorization of clinical research eligibility criteria by hierarchical clustering. Journal of Biomedical Informatics. 44(6). 927–935. 39 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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