Gwo Dong Lin
- Statistics and Probability top 1%
- Finance top 5%
- Artificial Intelligence top 10%
- Management Science and Operations Research top 5%
- Statistics, Probability and Uncertainty top 2%
- Co-authors
- Jordan StoyanovPhilip E. ChengJ. S. HuangSatoshi KurikiChin‐Diew LaiK. GovindarajuMin‐Te ChaoDonald Richards
- Topics
- Statistical Distribution Estimation and Applications (40 papers)Bayesian Methods and Mixture Models (19 papers)Probability and Risk Models (19 papers)
- Journals
- European Journal of Operational ResearchJournal of Mathematical Analysis and ApplicationsApplied Mathematics and Computation
- Partner nations
- TaiwanCanadaUnited Kingdom
In The Last Decade
Gwo Dong Lin
62 papers receiving 600 citations
Peers
Comparison fields: 5 of 63
- Statistics and Probability 456
- Finance 162
- Artificial Intelligence 150
- Management Science and Operations Research 145
- Statistics, Probability and Uncertainty 143
Countries citing papers authored by Gwo Dong Lin
This map shows the geographic impact of Gwo Dong Lin'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 Gwo Dong Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gwo Dong Lin more than expected).
Fields of papers citing papers by Gwo Dong Lin
This network shows the impact of papers produced by Gwo Dong Lin. 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 Gwo Dong Lin. The network helps show where Gwo Dong Lin may publish in the future.
Co-authorship network of co-authors of Gwo Dong Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Gwo Dong Lin. A scholar is included among the top collaborators of Gwo Dong Lin 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 Gwo Dong Lin. Gwo Dong Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 4 | |
| 3 | 7 | |
| 4 | 8 | |
| 5 | EM algorithms for estimating the Bernstein copula function | 2 |
| 6 | 6 | |
| 7 | 8 | |
| 8 | 2 | |
| 9 | 13 | |
| 10 | 11 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | 5 | |
| 14 | 2 | |
| 15 | 5 | |
| 16 | Characterizations of the exponential distribution via the residual lifetime. | 7 |
| 17 | 15 | |
| 18 | 1 | |
| 19 | 5 | |
| 20 | 17 |
About Gwo Dong Lin
Gwo Dong Lin is a scholar working on Statistics and Probability, Management Science and Operations Research and Applied Mathematics, having authored 68 papers that have together received 660 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (40 papers), Bayesian Methods and Mixture Models (19 papers) and Probability and Risk Models (19 papers). The work is most often cited by research in Statistics and Probability (456 citations), Statistics, Probability and Uncertainty (143 citations) and Finance (162 citations). Gwo Dong Lin has collaborated with scholars based in Taiwan, Canada and United Kingdom. Frequent co-authors include Jordan Stoyanov, Philip E. Cheng, J. S. Huang, Satoshi Kuriki, Chin‐Diew Lai, K. Govindaraju, Min‐Te Chao, Donald Richards, Anirban Dasgupta and Alexander Iksanov. Their work appears in journals such as European Journal of Operational Research, Journal of Mathematical Analysis and Applications and Applied Mathematics and Computation.
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.