Changgee Chang
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
Papers in
-
- Gene expression and cancer classification 12
- Bioinformatics and Genomic Networks 11
- Machine Learning in Bioinformatics 3
- Single-cell and spatial transcriptomics 2
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- Statistical Methods and Inference 7
- Statistical Methods and Bayesian Inference 4
- Co-authors
- Qi Long (19 shared papers)Ruey S. Tsay (1 shared paper)Suprateek Kundu (3 shared papers)Antônio José Gonçalves (1 shared paper)Karthik Rajasekaran (1 shared paper)Yize Zhao (4 shared papers)Xiaoqian Jiang (1 shared paper)Alyssa M. Civantos (1 shared paper)
- Journals
- Biometrics (4 papers)Nature Communications (2 papers)Briefings in Bioinformatics (2 papers)Biostatistics (2 papers)Journal of the American Statistical Association (2 papers)
- Partner nations
- United StatesSwitzerlandBrazil
In The Last Decade
Changgee Chang
23 papers receiving 278 citations
Peers
Comparison fields: 5 of 97
- Statistics and Probability 54
- Occupational Therapy 7
- Clinical Psychology 35
- Artificial Intelligence 57
- Computational Mathematics 1
Countries citing papers authored by Changgee Chang
This map shows the geographic impact of Changgee 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 Changgee Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changgee Chang more than expected).
Fields of papers citing papers by Changgee Chang
This network shows the impact of papers produced by Changgee 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 Changgee Chang. The network helps show where Changgee Chang may publish in the future.
Co-authors
The 23 scholars most cited alongside Changgee 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 78 | |
| 2 | 2020 | 48 | |
| 3 | 2020 | 29 | |
| 4 | 2010 | 26 | |
| 5 | 2018 | 22 | |
| 6 | 2018 | 11 | |
| 7 | 2019 | 9 | |
| 8 | 2018 | 9 | |
| 9 | 2023 | 7 | |
| 10 | 2021 | 7 | |
| 11 | 2018 | 7 | |
| 12 | 2019 | 5 | |
| 13 | 2022 | 4 | |
| 14 | 2021 | 3 | |
| 15 | 2019 | 3 | |
| 16 | 2022 | 3 | |
| 17 | 2025 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2019 | 2 |
About Changgee Chang
Changgee Chang is a scholar working on Molecular Biology, Statistics and Probability, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 23 papers that have together received 282 indexed citations. Recurring topics across this work include Gene expression and cancer classification (12 papers), Bioinformatics and Genomic Networks (11 papers), Statistical Methods and Inference (7 papers), Statistical Methods and Bayesian Inference (4 papers), Machine Learning in Bioinformatics (3 papers), Bayesian Methods and Mixture Models (3 papers), Single-cell and spatial transcriptomics (2 papers) and Advanced MRI Techniques and Applications (2 papers). The work is most often cited by research in Statistics and Probability (54 citations), Occupational Therapy (7 citations), Clinical Psychology (35 citations), Artificial Intelligence (57 citations) and Computational Mathematics (1 citation). Changgee Chang has collaborated with scholars based in United States, Switzerland and Brazil. Frequent co-authors include Qi Long, Ruey S. Tsay, Suprateek Kundu, Antônio José Gonçalves, Karthik Rajasekaran, Yize Zhao, Xiaoqian Jiang, Alyssa M. Civantos, Emily Getzen and Ziyi Li. Their work appears in journals such as Biometrics, Nature Communications, Briefings in Bioinformatics, Biostatistics 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.