Tian Kang

20 papers and 480 indexed citations i.

About

Tian Kang is a scholar working on Molecular Biology, Artificial Intelligence and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Tian Kang has authored 20 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Artificial Intelligence and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Tian Kang’s work include Biomedical Text Mining and Ontologies (12 papers), Topic Modeling (10 papers) and Ethics in Clinical Research (3 papers). Tian Kang is often cited by papers focused on Biomedical Text Mining and Ontologies (12 papers), Topic Modeling (10 papers) and Ethics in Clinical Research (3 papers). Tian Kang collaborates with scholars based in United States, China and Saudi Arabia. Tian Kang's co-authors include Chunhua Weng, Lei Xiong, Qiangfeng Cliff Zhang, Shaodian Zhang, Noémie Elhadad, Tao Jiang, Yanqiu Shao, Michael Zhang, Lei Tang and Kui Xu and has published in prestigious journals such as Nature, Nature Communications and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Tian Kang i

Fields of papers citing papers by Tian Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tian Kang

Since Specialization
Citations

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