Bin Dai

513 citations
21 papers · 350 · h-index 10

Impact in

Papers in

Bin Dai

20 papers receiving 337 citations

Peers

Bin Dai
Comparison fields: 5 of 63
  • Management Information Systems 126
  • Marketing 119
  • Business and International Management 18
  • Strategy and Management 136
  • Tourism, Leisure and Hospitality Management 7
Replace Prasenjit Mandal with:
Prasenjit Mandal India
Dung H. Nguyen Netherlands
Joonhwan In United States
Reihaneh Alsadat Tabaeeian Iran
Aurélien Rouquet France
Qilan Zhao China
Marian Mocan Romania
Weiming Zhu United States
Carmen Kar Hang Lee Singapore
Hosun Rhim South Korea
Bin Dai relative to Prasenjit Mandal India Prasenjit Mandal's profile →
Citations per field
00.5×7.3×
Prasenjit Mandal · 1×
Citations per year

Countries citing papers authored by Bin Dai

Since Specialization
Citations

This map shows the geographic impact of Bin 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 Bin Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Dai more than expected).

Fields of papers citing papers by Bin Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bin 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 Bin Dai. The network helps show where Bin Dai may publish in the future.

Co-authors

The 13 scholars most cited alongside Bin Dai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bin Dai Line = papers co-authored together Bin Dai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201671
2 202060
3 202043
4 202131
5 202023
6 201821
7 202219
8 202216
9 202315
10 202115
11 20249
12 20245
13 20224
14 20174
15 20193
16 20193
17 20243
18 20242
19 20162
20 20181

About Bin Dai

Bin Dai is a scholar working on Management Information Systems, Marketing, Strategy and Management, Sociology and Political Science and Business and International Management, having authored 21 papers that have together received 350 indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (13 papers), Consumer Market Behavior and Pricing (10 papers), Sustainable Supply Chain Management (4 papers), Digital Platforms and Economics (2 papers), Diverse Aspects of Tourism Research (2 papers), Tourism, Volunteerism, and Development (2 papers), Fuzzy Systems and Optimization (1 paper) and E-commerce and Technology Innovations (1 paper). The work is most often cited by research in Management Information Systems (126 citations), Marketing (119 citations), Business and International Management (18 citations), Strategy and Management (136 citations) and Tourism, Leisure and Hospitality Management (7 citations). Bin Dai has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Jianbin Li, Jianbin Li, Yuting Zheng, Minglu Wang, Peng Hu, Xi Yang, Yuwen Du, Xia Xie, Honggen Xiao and Peng Cheng. Their work appears in journals such as Naval Research Logistics (NRL), Transportation Research Part E Logistics and Transportation Review, IEEE Transactions on Engineering Management, Journal of Sustainable Tourism and Tourism Management.

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.

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