Hua Shen

About

Hua Shen is a scholar working on Molecular Biology, Artificial Intelligence and Cancer Research. According to data from OpenAlex, Hua Shen has authored 35 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Artificial Intelligence and 6 papers in Cancer Research. Recurrent topics in Hua Shen’s work include Ionosphere and magnetosphere dynamics (3 papers), Cancer-related molecular mechanisms research (3 papers) and Topic Modeling (3 papers). Hua Shen is often cited by papers focused on Ionosphere and magnetosphere dynamics (3 papers), Cancer-related molecular mechanisms research (3 papers) and Topic Modeling (3 papers). Hua Shen collaborates with scholars based in China, United States and Canada. Hua Shen's co-authors include Thomas L. Kieft, Snezna Rogelj, Peter J. O’Brien, Xia Zhang, Qian Zhang, Zhaochao Li, Junxing Zheng, Xinhui Xiao, Xuemin Liu and Mohammad Najafi and has published in prestigious journals such as Cancer Research, Scientific Reports and Remote Sensing.

In The Last Decade

Co-authorship network of co-authors of Hua Shen i

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Fields of papers citing papers by Hua Shen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hua Shen

Since Specialization

Citations

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