John X. Qiu

12 total papers · 504 total citations
10 papers, 317 citations indexed

About

John X. Qiu is a scholar working on Artificial Intelligence, Molecular Biology and Management Science and Operations Research. According to data from OpenAlex, John X. Qiu has authored 10 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Molecular Biology and 2 papers in Management Science and Operations Research. Recurrent topics in John X. Qiu's work include Topic Modeling (8 papers), Biomedical Text Mining and Ontologies (6 papers) and Machine Learning in Healthcare (4 papers). John X. Qiu is often cited by papers focused on Topic Modeling (8 papers), Biomedical Text Mining and Ontologies (6 papers) and Machine Learning in Healthcare (4 papers). John X. Qiu collaborates with scholars based in United States. John X. Qiu's co-authors include Georgia D. Tourassi, Hong‐Jun Yoon, Paul Fearn, Shang Gao, M. Todd Young, Xiao‐Cheng Wu, Mohammed Alawad, Linda Coyle, Lynne Penberthy and Arvind Ramanathan and has published in prestigious journals such as BMC Bioinformatics, Journal of the American Medical Informatics Association and IEEE Journal of Biomedical and Health Informatics.

In The Last Decade

John X. Qiu

9 papers receiving 310 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
John X. Qiu 239 144 50 30 26 10 317
Sarvesh Soni 219 0.9× 122 0.8× 36 0.7× 49 1.6× 46 1.8× 9 336
Deepika Gopukumar 98 0.4× 66 0.5× 39 0.8× 85 2.8× 30 1.2× 6 313
Michal Ozery-Flato 95 0.4× 134 0.9× 38 0.8× 28 0.9× 23 0.9× 22 344
Wen-wai Yim 213 0.9× 129 0.9× 74 1.5× 52 1.7× 52 2.0× 13 332
Zhiqiang Zhang 130 0.5× 48 0.3× 32 0.6× 17 0.6× 19 0.7× 23 291
R Jakobovits 181 0.8× 188 1.3× 87 1.7× 29 1.0× 8 0.3× 16 351
Denise Warzel 115 0.5× 174 1.2× 35 0.7× 48 1.6× 21 0.8× 11 361
Payal Chandak 120 0.5× 149 1.0× 11 0.2× 18 0.6× 18 0.7× 7 291
Girish Chavan 167 0.7× 156 1.1× 22 0.4× 26 0.9× 20 0.8× 7 252
Thomas M. Gudewicz 126 0.5× 115 0.8× 30 0.6× 24 0.8× 11 0.4× 14 342

Countries citing papers authored by John X. Qiu

Since Specialization
Citations

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

Fields of papers citing papers by John X. Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John X. Qiu. 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 John X. Qiu. The network helps show where John X. Qiu may publish in the future.

Co-authorship network of co-authors of John X. Qiu

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

All Works

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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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