Mark Chang
Impact in
- Statistics and Probability top 1%
- Statistical Methods in Clinical Trials
- Advanced Causal Inference Techniques
- Statistical Methods and Inference
-
- Optimal Experimental Design Methods
Papers in
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- Statistical Methods in Clinical Trials 37
- Statistical Methods and Bayesian Inference 5
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- Optimal Experimental Design Methods 16
- Co-authors
- Shein‐Chung Chow (8 shared papers)Annpey Pong (1 shared paper)Sandeep Menon (4 shared papers)Gordon Wyeth (8 shared papers)Jun Shao (1 shared paper)Claudio Carini (1 shared paper)G. À. Whitmore (1 shared paper)Mei‐Ling Ting Lee (1 shared paper)
- Journals
- Journal of Biopharmaceutical Statistics (11 papers)Statistics in Biopharmaceutical Research (5 papers)Statistics in Medicine (2 papers)Blood (1 paper)Educational and Psychological Measurement (1 paper)
- Partner nations
- United StatesAustraliaTaiwan
In The Last Decade
Mark Chang
56 papers receiving 777 citations
Peers
Comparison fields: 5 of 114
- Statistics and Probability 484
- Management Science and Operations Research 180
- Statistics, Probability and Uncertainty 89
- Economics and Econometrics 163
- Health Informatics 7
Countries citing papers authored by Mark Chang
This map shows the geographic impact of Mark Chang'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 Mark Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Chang more than expected).
Fields of papers citing papers by Mark Chang
This network shows the impact of papers produced by Mark Chang. 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 Mark Chang. The network helps show where Mark Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Chang, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 325 | |
| 2 | 2005 | 76 | |
| 3 | 2006 | 69 | |
| 4 | 2011 | 52 | |
| 5 | 2014 | 32 | |
| 6 | 2006 | 26 | |
| 7 | 2005 | 19 | |
| 8 | 2012 | 19 | |
| 9 | 2014 | 19 | |
| 10 | 2016 | 17 | |
| 11 | 2005 | 15 | |
| 12 | Monte Carlo Simulation for the Pharmaceutical Industry: Concepts, Algorithms, and Case Studies | 2010 | 13 |
| 13 | 2008 | 11 | |
| 14 | 2020 | 11 | |
| 15 | 2022 | 10 | |
| 16 | 2017 | 10 | |
| 17 | 2014 | 9 | |
| 18 | 2006 | 8 | |
| 19 | 2011 | 8 | |
| 20 | 2018 | 6 |
About Mark Chang
Mark Chang is a scholar working on Statistics and Probability, Management Science and Operations Research, Computer Vision and Pattern Recognition, Economics and Econometrics and Computational Theory and Mathematics, having authored 62 papers that have together received 838 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (37 papers), Optimal Experimental Design Methods (16 papers), Robotic Path Planning Algorithms (8 papers), Health Systems, Economic Evaluations, Quality of Life (7 papers), Statistical Methods and Bayesian Inference (5 papers), Robotics and Sensor-Based Localization (5 papers), Computational Drug Discovery Methods (4 papers) and Biosimilars and Bioanalytical Methods (4 papers). The work is most often cited by research in Statistics and Probability (484 citations), Management Science and Operations Research (180 citations), Statistics, Probability and Uncertainty (89 citations), Economics and Econometrics (163 citations) and Health Informatics (7 citations). Mark Chang has collaborated with scholars based in United States, Australia and Taiwan. Frequent co-authors include Shein‐Chung Chow, Annpey Pong, Sandeep Menon, Gordon Wyeth, Jun Shao, Claudio Carini, G. À. Whitmore, Mei‐Ling Ting Lee, Robin Bliss and Stephanie Green. Their work appears in journals such as Journal of Biopharmaceutical Statistics, Statistics in Biopharmaceutical Research, Statistics in Medicine, Blood and Educational and Psychological Measurement.
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.