Deshi Ye
Impact in
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- Scheduling and Optimization Algorithms
- Optimization and Packing Problems
- Advanced Manufacturing and Logistics Optimization
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- Optimization and Search Problems
- IoT and Edge/Fog Computing
- Distributed and Parallel Computing Systems
Papers in
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- Scheduling and Optimization Algorithms 20
- Optimization and Packing Problems 18
- Advanced Manufacturing and Logistics Optimization 12
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- Optimization and Search Problems 36
- Distributed and Parallel Computing Systems 7
- Software-Defined Networks and 5G 5
Deshi Ye
60 papers receiving 445 citations
Peers
Comparison fields: 5 of 56
- Industrial and Manufacturing Engineering 201
- Computer Networks and Communications 306
- Information Systems 135
- Computer Graphics and Computer-Aided Design 20
- Management Science and Operations Research 58
Countries citing papers authored by Deshi Ye
This map shows the geographic impact of Deshi Ye'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 Deshi Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deshi Ye more than expected).
Fields of papers citing papers by Deshi Ye
This network shows the impact of papers produced by Deshi Ye. 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 Deshi Ye. The network helps show where Deshi Ye may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Deshi Ye, 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 | 2022 | 5 | |
| 2 | 2020 | 3 | |
| 3 | 2020 | 2 | |
| 4 | 2019 | 7 | |
| 5 | 2019 | 16 | |
| 6 | 2017 | 1 | |
| 7 | 2016 | 6 | |
| 8 | 2016 | 5 | |
| 9 | 2015 | 0 | |
| 10 | 2014 | 7 | |
| 11 | 2011 | 2 | |
| 12 | 2010 | 14 | |
| 13 | 2009 | 1 | |
| 14 | 2009 | 1 | |
| 15 | 2008 | 7 | |
| 16 | 2007 | 3 | |
| 17 | 2007 | 1 | |
| 18 | 2006 | 11 | |
| 19 | 2006 | 1 | |
| 20 | 2002 | 11 |
About Deshi Ye
Deshi Ye is a scholar working on Industrial and Manufacturing Engineering, Computer Networks and Communications, Management Science and Operations Research, Information Systems and Hardware and Architecture, having authored 65 papers that have together received 473 indexed citations. Recurring topics across this work include Optimization and Search Problems (36 papers), Scheduling and Optimization Algorithms (20 papers), Optimization and Packing Problems (18 papers), Advanced Manufacturing and Logistics Optimization (12 papers), Cloud Computing and Resource Management (9 papers), Distributed and Parallel Computing Systems (7 papers), Auction Theory and Applications (7 papers) and Software-Defined Networks and 5G (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (201 citations), Computer Networks and Communications (306 citations), Information Systems (135 citations), Computer Graphics and Computer-Aided Design (20 citations) and Management Science and Operations Research (58 citations). Deshi Ye has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Guochuan Zhang, Jianhai Chen, Xin Han, Lin Chen, Qinming He, Yunqiang Yin, Kejiang Ye, Dawei Huang, Francis Y. L. Chin and Joseph Chan. Their work appears in journals such as Journal of Combinatorial Optimization, Theoretical Computer Science, Journal of Scheduling, Operations Research Letters and IEEE Transactions on Mobile Computing.
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.