Jae‐Dong Hong
- Management Information Systems top 2%
- Strategy and Management top 5%
- Industrial and Manufacturing Engineering top 2%
- Management Science and Operations Research top 5%
- Organizational Behavior and Human Resource Management top 10%
- Co-authors
- Jack C. HayyaKi‐Young JeongYuanchang XieSusan H. XuSeung‐Lae KimJudith MwakalongeLei WuYoonho Seo
- Topics
- Supply Chain and Inventory Management (15 papers)Scheduling and Optimization Algorithms (9 papers)Optimization and Mathematical Programming (9 papers)
- Cited by
- Management Information SystemsIndustrial and Manufacturing EngineeringStrategy and Management
- Journals
- SHILAP Revista de lepidopterologíaEuropean Journal of Operational ResearchEnergy
- Partner nations
- United States
In The Last Decade
Jae‐Dong Hong
32 papers receiving 516 citations
Peers
Comparison fields: 5 of 55
- Management Information Systems 376
- Strategy and Management 232
- Industrial and Manufacturing Engineering 198
- Management Science and Operations Research 131
- Organizational Behavior and Human Resource Management 67
Countries citing papers authored by Jae‐Dong Hong
This map shows the geographic impact of Jae‐Dong Hong'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 Jae‐Dong Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jae‐Dong Hong more than expected).
Fields of papers citing papers by Jae‐Dong Hong
This network shows the impact of papers produced by Jae‐Dong Hong. 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 Jae‐Dong Hong. The network helps show where Jae‐Dong Hong may publish in the future.
Co-authorship network of co-authors of Jae‐Dong Hong
This figure shows the co-authorship network connecting the top 25 collaborators of Jae‐Dong Hong. A scholar is included among the top collaborators of Jae‐Dong Hong 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 Jae‐Dong Hong. Jae‐Dong Hong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 0 | |
| 3 | 18 | |
| 4 | 7 | |
| 5 | 6 | |
| 6 | A MULTI-OBJECTIVE APPROACH TO PLANNING IN EMERGENCY LOGISTICS NETWORK DESIGN | 4 |
| 7 | 19 | |
| 8 | 29 | |
| 9 | 0 | |
| 10 | 13 | |
| 11 | 13 | |
| 12 | 3 | |
| 13 | 3 | |
| 14 | 6 | |
| 15 | 15 | |
| 16 | 4 | |
| 17 | 1 | |
| 18 | 80 | |
| 19 | 25 | |
| 20 | 6 |
About Jae‐Dong Hong
Jae‐Dong Hong is a scholar working on Management Information Systems, Industrial and Manufacturing Engineering and Organizational Behavior and Human Resource Management, having authored 34 papers that have together received 548 indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (15 papers), Scheduling and Optimization Algorithms (9 papers) and Optimization and Mathematical Programming (9 papers). The work is most often cited by research in Management Information Systems (376 citations), Industrial and Manufacturing Engineering (198 citations) and Strategy and Management (232 citations). Jae‐Dong Hong has collaborated with scholars based in United States. Frequent co-authors include Jack C. Hayya, Ki‐Young Jeong, Yuanchang Xie, Susan H. Xu, Seung‐Lae Kim, Judith Mwakalonge, Lei Wu, Yoonho Seo and Tom M. Cavalier. Their work appears in journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Energy.
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.