Jasmine Chang
Impact in
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- Supply Chain and Inventory Management
- Advanced Queuing Theory Analysis
- Emergency Medical Services top 5%
- Healthcare Operations and Scheduling Optimization
Papers in
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- Supply Chain and Inventory Management 6
- Advanced Queuing Theory Analysis 5
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- Sustainable Supply Chain Management 3
- Co-authors
- Jim Shi (14 shared papers)Jianjun Wang (6 shared papers)Haibing Lu (2 shared papers)Michael N. Katehakis (2 shared papers)Yuan Hong (1 shared paper)Shan Liu (1 shared paper)Zhipeng Yan (1 shared paper)Yao Zhao (1 shared paper)
- Journals
- Omega (4 papers)Annals of Operations Research (3 papers)Decision Sciences (2 papers)Veterinary Radiology & Ultrasound (2 papers)Buildings (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Jasmine Chang
27 papers receiving 442 citations
Peers
Comparison fields: 5 of 81
- Management Information Systems 137
- Emergency Medical Services 100
- Strategy and Management 84
- Automotive Engineering 65
- Information Systems 110
Countries citing papers authored by Jasmine Chang
This map shows the geographic impact of Jasmine 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 Jasmine Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jasmine Chang more than expected).
Fields of papers citing papers by Jasmine Chang
This network shows the impact of papers produced by Jasmine 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 Jasmine Chang. The network helps show where Jasmine Chang may publish in the future.
Co-authors
The 19 scholars most cited alongside Jasmine 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
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 67 | |
| 2 | 2022 | 66 | |
| 3 | 2020 | 56 | |
| 4 | 2021 | 42 | |
| 5 | 2019 | 29 | |
| 6 | 2018 | 27 | |
| 7 | 2021 | 24 | |
| 8 | 2021 | 23 | |
| 9 | 2022 | 22 | |
| 10 | 2018 | 21 | |
| 11 | 2023 | 13 | |
| 12 | 2023 | 8 | |
| 13 | 2023 | 8 | |
| 14 | 2022 | 8 | |
| 15 | 2023 | 6 | |
| 16 | 2022 | 5 | |
| 17 | 2022 | 5 | |
| 18 | 2019 | 5 | |
| 19 | 2024 | 4 | |
| 20 | 2024 | 3 |
About Jasmine Chang
Jasmine Chang is a scholar working on Management Information Systems, Strategy and Management, Economics and Econometrics, Emergency Medical Services and Information Systems, having authored 27 papers that have together received 458 indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (6 papers), Healthcare Operations and Scheduling Optimization (6 papers), Healthcare Policy and Management (6 papers), Advanced Queuing Theory Analysis (5 papers), Blockchain Technology Applications and Security (5 papers), Sharing Economy and Platforms (3 papers), Sustainable Supply Chain Management (3 papers) and Veterinary Oncology Research (2 papers). The work is most often cited by research in Management Information Systems (137 citations), Emergency Medical Services (100 citations), Strategy and Management (84 citations), Automotive Engineering (65 citations) and Information Systems (110 citations). Jasmine Chang has collaborated with scholars based in United States and China. Frequent co-authors include Jim Shi, Jianjun Wang, Haibing Lu, Michael N. Katehakis, Yuan Hong, Shan Liu, Zhipeng Yan, Yao Zhao, Benjamin Melamed and Zongbao Zou. Their work appears in journals such as Omega, Annals of Operations Research, Decision Sciences, Veterinary Radiology & Ultrasound and Buildings.
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.