Anan Tang
Impact in
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- Advanced Statistical Process Monitoring
- Scientific Measurement and Uncertainty Evaluation
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- Quality and Safety in Healthcare
Papers in
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- Advanced Statistical Process Monitoring 32
- Scientific Measurement and Uncertainty Evaluation 24
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- Advanced Statistical Methods and Models 18
- Co-authors
- Xuelong Hu (29 shared papers)Philippe Castagliola (19 shared papers)Jinsheng Sun (12 shared papers)Xiaojian Zhou (7 shared papers)Amitava Mukherjee (4 shared papers)Teng Huang (1 shared paper)Suying Zhang (1 shared paper)Weidong Huang (1 shared paper)
In The Last Decade
Anan Tang
31 papers receiving 359 citations
Peers
Comparison fields: 5 of 33
- Statistics, Probability and Uncertainty 340
- Medical Laboratory Technology 31
- Statistics and Probability 174
- Control and Systems Engineering 92
- Management Science and Operations Research 49
Countries citing papers authored by Anan Tang
This map shows the geographic impact of Anan 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 Anan Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anan Tang more than expected).
Fields of papers citing papers by Anan Tang
This network shows the impact of papers produced by Anan 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 Anan Tang. The network helps show where Anan Tang may publish in the future.
Co-authors
The 8 scholars most cited alongside Anan 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
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 56 | |
| 2 | 2019 | 44 | |
| 3 | 2018 | 38 | |
| 4 | 2020 | 26 | |
| 5 | 2017 | 24 | |
| 6 | 2018 | 23 | |
| 7 | 2020 | 17 | |
| 8 | 2018 | 16 | |
| 9 | 2022 | 15 | |
| 10 | 2019 | 13 | |
| 11 | 2022 | 10 | |
| 12 | 2023 | 10 | |
| 13 | 2019 | 9 | |
| 14 | 2023 | 7 | |
| 15 | 2019 | 7 | |
| 16 | 2020 | 6 | |
| 17 | 2023 | 6 | |
| 18 | 2022 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2022 | 4 |
About Anan Tang
Anan Tang is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability, Control and Systems Engineering, Management Science and Operations Research and Medical Laboratory Technology, having authored 32 papers that have together received 363 indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (32 papers), Scientific Measurement and Uncertainty Evaluation (24 papers), Advanced Statistical Methods and Models (18 papers), Fault Detection and Control Systems (6 papers), Quality and Safety in Healthcare (3 papers), Optimal Experimental Design Methods (3 papers), Advanced Control Systems Optimization (2 papers) and Manufacturing Process and Optimization (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (340 citations), Medical Laboratory Technology (31 citations), Statistics and Probability (174 citations), Control and Systems Engineering (92 citations) and Management Science and Operations Research (49 citations). Anan Tang has collaborated with scholars based in China, France and India. Frequent co-authors include Xuelong Hu, Philippe Castagliola, Jinsheng Sun, Xiaojian Zhou, Amitava Mukherjee, Teng Huang, Suying Zhang and Weidong Huang. Their work appears in journals such as Quality and Reliability Engineering International, Computers & Industrial Engineering, Journal of Statistical Computation and Simulation, Quality Technology & Quantitative Management and European J of Industrial Engineering.
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.