Jake Luo

66 papers and 950 indexed citations i.

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 66 papers receiving a total of 950 indexed citations (citations by other indexed papers that have themselves been cited), including 23 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 (8 papers) and Metaheuristic Optimization Algorithms Research (6 papers). Jake Luo is often cited by papers focused on Biomedical Text Mining and Ontologies (11 papers), Topic Modeling (8 papers) and Metaheuristic Optimization Algorithms Research (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, Dimitri Theodoratos, Xiaoying Wu, Mary Regina Boland and Bradley Taylor and has published in prestigious journals such as Gastroenterology, Sensors and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Jake Luo i

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.

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).

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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2025