Xin Dai
Impact in
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- Supply Chain and Inventory Management
- Marketing top 5%
- Consumer Market Behavior and Pricing
- Consumer Retail Behavior Studies
Papers in
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- Supply Chain and Inventory Management 4
-
- Consumer Market Behavior and Pricing 5
- Co-authors
- Chun‐Hung Chiu (4 shared papers)Tsan‐Ming Choi (1 shared paper)Bin Shen (1 shared paper)Zhongfei Li (1 shared paper)Yongcheng Lin (1 shared paper)Zhiqi Qiu (1 shared paper)Hongming Tan (1 shared paper)Lixiang Cao (1 shared paper)
- Journals
- Production and Operations Management (1 paper)Foods (1 paper)International Journal of Management Science and Engineering Management (1 paper)ACS Omega (1 paper)Annals of Operations Research (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Xin Dai
16 papers receiving 349 citations
Peers
Comparison fields: 5 of 72
- Management Information Systems 150
- Marketing 141
- Strategy and Management 124
- Management Science and Operations Research 42
- Cell Biology 38
Countries citing papers authored by Xin Dai
This map shows the geographic impact of Xin Dai'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 Xin Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Dai more than expected).
Fields of papers citing papers by Xin Dai
This network shows the impact of papers produced by Xin Dai. 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 Xin Dai. The network helps show where Xin Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Xin Dai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 156 | |
| 2 | 2004 | 81 | |
| 3 | 2015 | 69 | |
| 4 | 2014 | 15 | |
| 5 | 2016 | 15 | |
| 6 | 2013 | 8 | |
| 7 | 2013 | 4 | |
| 8 | 2019 | 3 | |
| 9 | 2023 | 3 | |
| 10 | 2024 | 3 | |
| 11 | 2023 | 3 | |
| 12 | 2014 | 3 | |
| 13 | Study on Competitiveness of Village Traveling Place in View of Type | 2008 | 2 |
| 14 | Relationship of Ascorbic Acid metabolism with the cytoplasmic male sterility in pepper (Capsicum annuum L.) | 2015 | 1 |
| 15 | 2024 | 1 | |
| 16 | 2012 | 1 |
About Xin Dai
Xin Dai is a scholar working on Management Information Systems, Marketing, Molecular Biology, Strategy and Management and Sociology and Political Science, having authored 16 papers that have together received 368 indexed citations. Recurring topics across this work include Consumer Market Behavior and Pricing (5 papers), Supply Chain and Inventory Management (4 papers), Technology Adoption and User Behaviour (2 papers), Spectroscopy and Laser Applications (2 papers), Atmospheric and Environmental Gas Dynamics (2 papers), Plant Micronutrient Interactions and Effects (1 paper), Sustainable Supply Chain Management (1 paper) and Microencapsulation and Drying Processes (1 paper). The work is most often cited by research in Management Information Systems (150 citations), Marketing (141 citations), Strategy and Management (124 citations), Management Science and Operations Research (42 citations) and Cell Biology (38 citations). Xin Dai has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Chun‐Hung Chiu, Tsan‐Ming Choi, Bin Shen, Zhongfei Li, Yongcheng Lin, Zhiqi Qiu, Hongming Tan, Lixiang Cao, Shining Zhou and Jianping Peng. Their work appears in journals such as Production and Operations Management, Foods, International Journal of Management Science and Engineering Management, ACS Omega and Annals of Operations Research.
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.