Mark Poon
Impact in
-
- Vehicle Routing Optimization Methods
- Advanced Manufacturing and Logistics Optimization
- Automotive Engineering top 5%
- Transportation and Mobility Innovations
Papers in
-
- Vehicle Routing Optimization Methods 9
- Optimization and Packing Problems 1
-
- Transportation and Mobility Innovations 7
- Co-authors
- Zhihao Luo (3 shared papers)Zhong Bing Liu (2 shared papers)Andrew E. B. Lim (2 shared papers)Zhenzhen Zhang (4 shared papers)Yang Liu (1 shared paper)Zhenzhou Yuan (1 shared paper)Vincent Y. F. Tan (1 shared paper)
- Journals
- Transportation Research Part C Emerging Technologies (4 papers)Computers & Operations Research (3 papers)IEEE Access (1 paper)European Journal of Operational Research (1 paper)
- Partner nations
- SingaporeChinaUnited States
In The Last Decade
Mark Poon
9 papers receiving 399 citations
Peers
Comparison fields: 5 of 32
- Industrial and Manufacturing Engineering 299
- Automotive Engineering 167
- Aerospace Engineering 236
- Computer Vision and Pattern Recognition 103
- Building and Construction 64
Countries citing papers authored by Mark Poon
This map shows the geographic impact of Mark Poon'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 Mark Poon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Poon more than expected).
Fields of papers citing papers by Mark Poon
This network shows the impact of papers produced by Mark Poon. 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 Mark Poon. The network helps show where Mark Poon may publish in the future.
Co-authors
The 7 scholars most cited alongside Mark Poon, 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 | 2021 | 150 | |
| 2 | 2022 | 79 | |
| 3 | 2022 | 71 | |
| 4 | 2023 | 45 | |
| 5 | 2022 | 22 | |
| 6 | 2024 | 17 | |
| 7 | 2022 | 17 | |
| 8 | 2022 | 4 | |
| 9 | 2024 | 4 |
About Mark Poon
Mark Poon is a scholar working on Industrial and Manufacturing Engineering, Automotive Engineering, Aerospace Engineering, Computer Vision and Pattern Recognition and Transportation, having authored 9 papers that have together received 409 indexed citations. Recurring topics across this work include Vehicle Routing Optimization Methods (9 papers), Transportation and Mobility Innovations (7 papers), UAV Applications and Optimization (4 papers), Robotic Path Planning Algorithms (3 papers), Optimization and Packing Problems (1 paper), Transportation Planning and Optimization (1 paper), Metaheuristic Optimization Algorithms Research (1 paper) and Urban and Freight Transport Logistics (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (299 citations), Automotive Engineering (167 citations), Aerospace Engineering (236 citations), Computer Vision and Pattern Recognition (103 citations) and Building and Construction (64 citations). Mark Poon has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Zhihao Luo, Zhong Bing Liu, Andrew E. B. Lim, Zhenzhen Zhang, Yang Liu, Zhenzhou Yuan and Vincent Y. F. Tan. Their work appears in journals such as Transportation Research Part C Emerging Technologies, Computers & Operations Research, IEEE Access and European Journal of Operational 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.