Joseph H. Yan
- Electrical and Electronic Engineering top 10%
- Management Science and Operations Research top 10%
- Control and Systems Engineering
- Industrial and Manufacturing Engineering top 10%
- Safety, Risk, Reliability and Quality top 10%
- Co-authors
- Gary A. SternPeter B. LuhMikhail A. BraginFeng ZhaoNanpeng YuShi‐Chung ChangHan XuHoumin Yan
- Topics
- Electric Power System Optimization (22 papers)Smart Grid Energy Management (17 papers)Optimal Power Flow Distribution (12 papers)
- Cited by
- Electrical and Electronic EngineeringManagement Science and Operations ResearchIndustrial and Manufacturing Engineering
- Journals
- IEEE Transactions on Power SystemsJournal of Optimization Theory and ApplicationsIEEE Power and Energy Magazine
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Joseph H. Yan
27 papers receiving 392 citations
Peers
Comparison fields: 5 of 41
- Electrical and Electronic Engineering 326
- Management Science and Operations Research 66
- Control and Systems Engineering 55
- Industrial and Manufacturing Engineering 47
- Safety, Risk, Reliability and Quality 40
Countries citing papers authored by Joseph H. Yan
This map shows the geographic impact of Joseph H. Yan'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 Joseph H. Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph H. Yan more than expected).
Fields of papers citing papers by Joseph H. Yan
This network shows the impact of papers produced by Joseph H. Yan. 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 Joseph H. Yan. The network helps show where Joseph H. Yan may publish in the future.
Co-authorship network of co-authors of Joseph H. Yan
This figure shows the co-authorship network connecting the top 25 collaborators of Joseph H. Yan. A scholar is included among the top collaborators of Joseph H. Yan 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 Joseph H. Yan. Joseph H. Yan 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 | 3 | |
| 3 | 11 | |
| 4 | 10 | |
| 5 | 106 | |
| 6 | 1 | |
| 7 | 9 | |
| 8 | 7 | |
| 9 | 29 | |
| 10 | 8 | |
| 11 | 39 | |
| 12 | 2 | |
| 13 | 10 | |
| 14 | 4 | |
| 15 | 20 | |
| 16 | 4 | |
| 17 | 3 | |
| 18 | 5 | |
| 19 | 1 | |
| 20 | 25 |
About Joseph H. Yan
Joseph H. Yan is a scholar working on Management Science and Operations Research, Numerical Analysis and Electrical and Electronic Engineering, having authored 27 papers that have together received 407 indexed citations. Recurring topics across this work include Electric Power System Optimization (22 papers), Smart Grid Energy Management (17 papers) and Optimal Power Flow Distribution (12 papers). The work is most often cited by research in Electrical and Electronic Engineering (326 citations), Management Science and Operations Research (66 citations) and Industrial and Manufacturing Engineering (47 citations). Joseph H. Yan has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Gary A. Stern, Peter B. Luh, Mikhail A. Bragin, Feng Zhao, Nanpeng Yu, Shi‐Chung Chang, Han Xu, Houmin Yan, Suresh Sethi and Hanqin Zhang. Their work appears in journals such as IEEE Transactions on Power Systems, Journal of Optimization Theory and Applications and IEEE Power and Energy Magazine.
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.