Boxin Tang
Impact in
-
- Optimal Experimental Design Methods
- Computational Theory and Mathematics top 0.2%
- Advanced Multi-Objective Optimization Algorithms
Papers in
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- Optimal Experimental Design Methods 58
-
- Advanced Multi-Objective Optimization Algorithms 44
- Co-authors
- Lih‐Yuan DengW. KalowC. F. Jeff WuChing‐Shui ChengChangbao WuRahul MukerjeeD. KadarNeil H. Shear
- Journals
- Journal of Statistical Planning and Inference (11 papers)Biometrika (9 papers)The Annals of Statistics (8 papers)Statistica Sinica (5 papers)Journal of the American Statistical Association (4 papers)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Boxin Tang
82 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Management Science and Operations Research 1.6k
- Computational Theory and Mathematics 1.3k
- Statistics, Probability and Uncertainty 520
- Industrial and Manufacturing Engineering 507
- Statistics and Probability 360
Countries citing papers authored by Boxin Tang
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).
Fields of papers citing papers by Boxin Tang
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.
Co-authorship network
The 25 scholars most cited alongside Boxin Tang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 2 | |
| 5 | 2021 | 8 | |
| 6 | 2014 | 19 | |
| 7 | 2011 | 2 | |
| 8 | 2006 | 20 | |
| 9 | Minimum G aberration design construction and design tables for 24 runs | 2005 | 4 |
| 10 | 2005 | 27 | |
| 11 | 1997 | 12 | |
| 12 | 1995 | 28 | |
| 13 | 1995 | 46 | |
| 14 | 1995 | 54 | |
| 15 | 1994 | 25 | |
| 16 | 1994 | 15 | |
| 17 | 1991 | 164 | |
| 18 | 1989 | 14 | |
| 19 | 1983 | 41 | |
| 20 | 1983 | 4 |
About Boxin Tang
Boxin Tang is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics, Industrial and Manufacturing Engineering, Statistics and Probability and Statistics, Probability and Uncertainty, having authored 84 papers that have together received 2.8k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (58 papers), Advanced Multi-Objective Optimization Algorithms (44 papers), Manufacturing Process and Optimization (20 papers), Statistical Methods in Clinical Trials (13 papers), VLSI and FPGA Design Techniques (9 papers), Pharmacogenetics and Drug Metabolism (8 papers), Probabilistic and Robust Engineering Design (7 papers) and graph theory and CDMA systems (7 papers). The work is most often cited by research in Management Science and Operations Research (1.6k citations), Computational Theory and Mathematics (1.3k citations), Statistics, Probability and Uncertainty (520 citations), Industrial and Manufacturing Engineering (507 citations) and Statistics and Probability (360 citations). Boxin Tang has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Lih‐Yuan Deng, W. Kalow, C. F. Jeff Wu, Ching‐Shui Cheng, Changbao Wu, Rahul Mukerjee, D. Kadar, Neil H. Shear, Michael Rieder and Stephen P. Spielberg. Their work appears in journals such as Journal of Statistical Planning and Inference, Biometrika, The Annals of Statistics, Statistica Sinica and Journal of the American Statistical Association.
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.