Wen Hai

About

Wen Hai is a scholar working on Biomedical Engineering, Mechanical Engineering and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Wen Hai has authored 6 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Biomedical Engineering, 1 paper in Mechanical Engineering and 1 paper in Health, Toxicology and Mutagenesis. Recurrent topics in Wen Hai’s work include Private Equity and Venture Capital (1 paper), Chromium effects and bioremediation (1 paper) and Metal Extraction and Bioleaching (1 paper). Wen Hai is often cited by papers focused on Private Equity and Venture Capital (1 paper), Chromium effects and bioremediation (1 paper) and Metal Extraction and Bioleaching (1 paper). Wen Hai collaborates with scholars based in United States, China and Mexico. Wen Hai's co-authors include Wing Thye Woo, Gang Fan, Robert C. Feenstra, Shunli Yao, Mao Fa Jiang and Pei Shi and has published in prestigious journals such as American Economic Review, Journal of Comparative Economics and China Economic Review.

In The Last Decade

Co-authorship network of co-authors of Wen Hai i

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Fields of papers citing papers by Wen Hai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Wen Hai

Since Specialization

Citations

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