Jinghe Sun
Impact in
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- Scheduling and Optimization Algorithms
- Advanced Manufacturing and Logistics Optimization
- Assembly Line Balancing Optimization
- Manufacturing Process and Optimization
- Digital Transformation in Industry
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- Optimization and Search Problems
Papers in
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- Scheduling and Optimization Algorithms 6
- Advanced Manufacturing and Logistics Optimization 6
- Assembly Line Balancing Optimization 2
- Optimization and Packing Problems 2
- Co-authors
- Guohui Zhang (6 shared papers)Wenqiang Zhang (3 shared papers)Y. Hu (1 shared paper)Guodong Wang (1 shared paper)Xing Liu (1 shared paper)Haijun Zhang (1 shared paper)Zhuo Zhang (1 shared paper)Shaofeng Yan (1 shared paper)
- Journals
- Computers & Operations Research (2 papers)Mathematical Biosciences & Engineering (2 papers)Engineering Applications of Artificial Intelligence (1 paper)Foods (1 paper)Swarm and Evolutionary Computation (1 paper)
- Partner nations
- ChinaUnited Kingdom
In The Last Decade
Jinghe Sun
9 papers receiving 317 citations
Peers
Comparison fields: 5 of 46
- Industrial and Manufacturing Engineering 277
- Computer Networks and Communications 39
- Control and Systems Engineering 38
- Medical Laboratory Technology 2
- Artificial Intelligence 43
Countries citing papers authored by Jinghe Sun
This map shows the geographic impact of Jinghe Sun'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 Jinghe Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinghe Sun more than expected).
Fields of papers citing papers by Jinghe Sun
This network shows the impact of papers produced by Jinghe Sun. 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 Jinghe Sun. The network helps show where Jinghe Sun may publish in the future.
Co-authors
The 18 scholars most cited alongside Jinghe Sun, 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 | 2020 | 161 | |
| 2 | 2021 | 63 | |
| 3 | 2019 | 46 | |
| 4 | 2020 | 16 | |
| 5 | 2024 | 11 | |
| 6 | 2023 | 8 | |
| 7 | 2022 | 7 | |
| 8 | 2024 | 6 | |
| 9 | 2024 | 5 |
About Jinghe Sun
Jinghe Sun is a scholar working on Industrial and Manufacturing Engineering, Infectious Diseases, Computer Networks and Communications, Animal Science and Zoology and Computational Theory and Mathematics, having authored 9 papers that have together received 323 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (6 papers), Advanced Manufacturing and Logistics Optimization (6 papers), Assembly Line Balancing Optimization (2 papers), Optimization and Packing Problems (2 papers), Diverse Interdisciplinary Research Innovations (1 paper), Energy Efficiency and Management (1 paper), Energy, Environment, and Transportation Policies (1 paper) and Energy Load and Power Forecasting (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (277 citations), Computer Networks and Communications (39 citations), Control and Systems Engineering (38 citations), Medical Laboratory Technology (2 citations) and Artificial Intelligence (43 citations). Jinghe Sun has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Guohui Zhang, Wenqiang Zhang, Y. Hu, Guodong Wang, Xing Liu, Haijun Zhang, Zhuo Zhang, Shaofeng Yan, Jingfeng Yang and Dequn Zhou. Their work appears in journals such as Computers & Operations Research, Mathematical Biosciences & Engineering, Engineering Applications of Artificial Intelligence, Foods and Swarm and Evolutionary Computation.
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.