Boxin Tang

76 papers and 2.4k indexed citations i.

About

Boxin Tang is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Industrial and Manufacturing Engineering. According to data from OpenAlex, Boxin Tang has authored 76 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Management Science and Operations Research, 41 papers in Computational Theory and Mathematics and 19 papers in Industrial and Manufacturing Engineering. Recurrent topics in Boxin Tang’s work include Optimal Experimental Design Methods (51 papers), Advanced Multi-Objective Optimization Algorithms (40 papers) and Manufacturing Process and Optimization (18 papers). Boxin Tang is often cited by papers focused on Optimal Experimental Design Methods (51 papers), Advanced Multi-Objective Optimization Algorithms (40 papers) and Manufacturing Process and Optimization (18 papers). Boxin Tang collaborates with scholars based in Canada, United States and China. Boxin Tang's co-authors include Lih‐Yuan Deng, W. Kalow, C. F. Jeff Wu, Rahul Mukerjee, Ching‐Shui Cheng, Changbao Wu, D. Kadar, Neil H. Shear, Michael Rieder and Stephen P. Spielberg and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biochemical and Biophysical Research Communications.

In The Last Decade

Co-authorship network of co-authors of Boxin Tang i

Fields of papers citing papers by Boxin Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Boxin Tang

Since Specialization
Citations

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