Meizhi Ju

7 papers and 97 indexed citations i.

About

Meizhi Ju is a scholar working on Artificial Intelligence, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Meizhi Ju has authored 7 papers receiving a total of 97 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Molecular Biology and 1 paper in Materials Chemistry. Recurrent topics in Meizhi Ju’s work include Topic Modeling (7 papers), Biomedical Text Mining and Ontologies (5 papers) and Machine Learning in Healthcare (3 papers). Meizhi Ju is often cited by papers focused on Topic Modeling (7 papers), Biomedical Text Mining and Ontologies (5 papers) and Machine Learning in Healthcare (3 papers). Meizhi Ju collaborates with scholars based in United Kingdom, Japan and China. Meizhi Ju's co-authors include Sophia Ananiadou, Piotr Przybyła, Nhung T. H. Nguyen, Makoto Miwa, Austin J. Brockmeier, Christian O’Reilly, John McNaught, Matthew Shardlow, Yefeng Zheng and Fenia Christopoulou and has published in prestigious journals such as BMC Bioinformatics, Journal of the American Medical Informatics Association and BMC Medical Informatics and Decision Making.

In The Last Decade

Co-authorship network of co-authors of Meizhi Ju i

Fields of papers citing papers by Meizhi Ju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Meizhi Ju

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025