Pei-Fang Tsai
- Industrial and Manufacturing Engineering top 5%
- Artificial Intelligence
- Emergency Medical Services top 5%
- Emergency Medicine
- Building and Construction
- Co-authors
- Shu‐Kai S. FanSubhash C. SarinHanif D. SheraliPo‐Chia ChenChuan‐Jun SuChen-Yang ChengChien‐Yi HuangKrishnaswami Srihari
- Topics
- Manufacturing Process and Optimization (3 papers)Transportation Planning and Optimization (2 papers)Scheduling and Timetabling Solutions (2 papers)
- Cited by
- Emergency Medical ServicesIndustrial and Manufacturing EngineeringHealth Information Management
- Partner nations
- TaiwanUnited States
In The Last Decade
Pei-Fang Tsai
15 papers receiving 285 citations
Peers
Comparison fields: 5 of 86
- Industrial and Manufacturing Engineering 81
- Artificial Intelligence 77
- Emergency Medical Services 59
- Emergency Medicine 47
- Building and Construction 36
Countries citing papers authored by Pei-Fang Tsai
This map shows the geographic impact of Pei-Fang Tsai'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 Pei-Fang Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pei-Fang Tsai more than expected).
Fields of papers citing papers by Pei-Fang Tsai
This network shows the impact of papers produced by Pei-Fang Tsai. 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 Pei-Fang Tsai. The network helps show where Pei-Fang Tsai may publish in the future.
Co-authorship network of co-authors of Pei-Fang Tsai
This figure shows the co-authorship network connecting the top 25 collaborators of Pei-Fang Tsai. A scholar is included among the top collaborators of Pei-Fang Tsai 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 Pei-Fang Tsai. Pei-Fang Tsai 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 | 4 | |
| 3 | 48 | |
| 4 | 77 | |
| 5 | 36 | |
| 6 | 6 | |
| 7 | 8 | |
| 8 | 6 | |
| 9 | 37 | |
| 10 | 29 | |
| 11 | 4 | |
| 12 | 4 | |
| 13 | Using Design of Experiments and Simulation Modeling to Study the Facility Layout for a Server Assembly Process | 6 |
| 14 | 1 | |
| 15 | 28 |
About Pei-Fang Tsai
Pei-Fang Tsai is a scholar working on Industrial and Manufacturing Engineering, Transportation and Emergency Medical Services, having authored 15 papers that have together received 295 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (3 papers), Transportation Planning and Optimization (2 papers) and Scheduling and Timetabling Solutions (2 papers). The work is most often cited by research in Emergency Medical Services (59 citations), Industrial and Manufacturing Engineering (81 citations) and Health Information Management (24 citations). Pei-Fang Tsai has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Shu‐Kai S. Fan, Subhash C. Sarin, Hanif D. Sherali, Po‐Chia Chen, Chuan‐Jun Su, Chen-Yang Cheng, Chien‐Yi Huang, Krishnaswami Srihari, Yueh‐Chun Lee and Yi‐Ting Hwang. Their work appears in journals such as European Journal of Operational Research, Computers & Operations Research and Soft Computing.
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.