Yuan‐chin Ivan Chang
- Artificial Intelligence top 10%
- Statistics and Probability top 5%
- Molecular Biology
- Management Science and Operations Research top 10%
- Reproductive Medicine top 10%
- Co-authors
- Zhanfeng WangChii‐Ruey TzengWei‐Ning YangMing-I HsuChia‐Jung LiAdam T. MartinsekChung ChangAn‐Jen Chiang
- Topics
- Statistical Methods and Inference (13 papers)Imbalanced Data Classification Techniques (9 papers)Advanced Statistical Methods and Models (8 papers)
- Journals
- BioinformaticsPLoS ONEBiometrics
- Partner nations
- TaiwanSouth KoreaChina
In The Last Decade
Yuan‐chin Ivan Chang
40 papers receiving 488 citations
Peers
Comparison fields: 5 of 108
- Artificial Intelligence 137
- Statistics and Probability 124
- Molecular Biology 108
- Management Science and Operations Research 64
- Reproductive Medicine 51
Countries citing papers authored by Yuan‐chin Ivan Chang
This map shows the geographic impact of Yuan‐chin Ivan 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 Yuan‐chin Ivan Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuan‐chin Ivan Chang more than expected).
Fields of papers citing papers by Yuan‐chin Ivan Chang
This network shows the impact of papers produced by Yuan‐chin Ivan 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 Yuan‐chin Ivan Chang. The network helps show where Yuan‐chin Ivan Chang may publish in the future.
Co-authorship network of co-authors of Yuan‐chin Ivan Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Yuan‐chin Ivan Chang. A scholar is included among the top collaborators of Yuan‐chin Ivan Chang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuan‐chin Ivan Chang. Yuan‐chin Ivan Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 32 | |
| 4 | 37 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 29 | |
| 9 | 33 | |
| 10 | 5 | |
| 11 | 25 | |
| 12 | 11 | |
| 13 | 16 | |
| 14 | 1 | |
| 15 | 14 | |
| 16 | 42 | |
| 17 | 0 | |
| 18 | 13 | |
| 19 | 13 | |
| 20 | SEQUENTIAL FIXED SIZE CONFIDENCE REGIONS FOR REGRESSION PARAMETERS IN GENERALIZED LINEAR MODELS | 1 |
About Yuan‐chin Ivan Chang
Yuan‐chin Ivan Chang is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 46 papers that have together received 517 indexed citations. Recurring topics across this work include Statistical Methods and Inference (13 papers), Imbalanced Data Classification Techniques (9 papers) and Advanced Statistical Methods and Models (8 papers). The work is most often cited by research in Statistics and Probability (124 citations), Statistics, Probability and Uncertainty (47 citations) and Reproductive Medicine (51 citations). Yuan‐chin Ivan Chang has collaborated with scholars based in Taiwan, South Korea and China. Frequent co-authors include Zhanfeng Wang, Chii‐Ruey Tzeng, Wei‐Ning Yang, Ming-I Hsu, Chia‐Jung Li, Adam T. Martinsek, Chung Chang, An‐Jen Chiang, Jim Jinn‐Chyuan Sheu and Zhiliang Ying. Their work appears in journals such as Bioinformatics, PLoS ONE and Biometrics.
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.