I‐Shou Chang
Impact in
- Geriatrics and Gerontology top 2%
- Pharmaceutical Practices and Patient Outcomes
- Psychiatry and Mental health top 5%
- Dementia and Cognitive Impairment Research
- Schizophrenia research and treatment
Papers in
-
- Statistical Methods and Inference 13
- Statistical Methods and Bayesian Inference 4
- Co-authors
- Keh‐Ming LinLi‐Min HuangLuan‐Yin ChangChao A. HsiungFang‐Yu TsaiChi‐Shin WuSheng‐Chang WangBor‐Luen Chiang
- Journals
- The Annals of Statistics (4 papers)PEDIATRICS (3 papers)American Journal of Geriatric Psychiatry (3 papers)Scandinavian Journal of Statistics (3 papers)Psychiatric Services (3 papers)
- Partner nations
- TaiwanUnited StatesBelgium
In The Last Decade
I‐Shou Chang
59 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 119
- Geriatrics and Gerontology 127
- Psychiatry and Mental health 232
- Experimental and Cognitive Psychology 192
- Pulmonary and Respiratory Medicine 336
- Epidemiology 323
Countries citing papers authored by I‐Shou Chang
This map shows the geographic impact of I‐Shou 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 I‐Shou Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I‐Shou Chang more than expected).
Fields of papers citing papers by I‐Shou Chang
This network shows the impact of papers produced by I‐Shou 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 I‐Shou Chang. The network helps show where I‐Shou Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside I‐Shou 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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 2 | |
| 2 | 2021 | 8 | |
| 3 | 2020 | 0 | |
| 4 | 2018 | 8 | |
| 5 | 2015 | 16 | |
| 6 | 2015 | 31 | |
| 7 | 2014 | 41 | |
| 8 | 2011 | 33 | |
| 9 | 2011 | 39 | |
| 10 | 2011 | 36 | |
| 11 | 2010 | 37 | |
| 12 | 2010 | 64 | |
| 13 | 2010 | 1 | |
| 14 | 2009 | 17 | |
| 15 | 2009 | 115 | |
| 16 | 2009 | 194 | |
| 17 | 2009 | 97 | |
| 18 | 2006 | 36 | |
| 19 | 2004 | 84 | |
| 20 | 1988 | 3 |
About I‐Shou Chang
I‐Shou Chang is a scholar working on Statistics and Probability, Geriatrics and Gerontology, Neuropsychology and Physiological Psychology, Psychiatry and Mental health and Applied Microbiology and Biotechnology, having authored 62 papers that have together received 1.4k indexed citations. Recurring topics across this work include Statistical Methods and Inference (13 papers), Bayesian Methods and Mixture Models (9 papers), Genetic Associations and Epidemiology (7 papers), Sleep and related disorders (5 papers), Statistical Methods and Bayesian Inference (4 papers), Pneumonia and Respiratory Infections (4 papers), Dementia and Cognitive Impairment Research (4 papers) and Herpesvirus Infections and Treatments (4 papers). The work is most often cited by research in Geriatrics and Gerontology (127 citations), Psychiatry and Mental health (232 citations), Experimental and Cognitive Psychology (192 citations), Pulmonary and Respiratory Medicine (336 citations) and Epidemiology (323 citations). I‐Shou Chang has collaborated with scholars based in Taiwan, United States and Belgium. Frequent co-authors include Keh‐Ming Lin, Li‐Min Huang, Luan‐Yin Chang, Chao A. Hsiung, Fang‐Yu Tsai, Chi‐Shin Wu, Sheng‐Chang Wang, Bor‐Luen Chiang, Pei‐Jer Chen and Chia‐Ming Chang. Their work appears in journals such as The Annals of Statistics, PEDIATRICS, American Journal of Geriatric Psychiatry, Scandinavian Journal of Statistics and Psychiatric Services.
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.