Yanjun Shi
Impact in
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- Advanced Manufacturing and Logistics Optimization
- Optimization and Packing Problems
- Scheduling and Optimization Algorithms
- Vehicle Routing Optimization Methods
- Digital Transformation in Industry
- Automotive Engineering top 5%
Papers in
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- Advanced Manufacturing and Logistics Optimization 25
- Optimization and Packing Problems 19
- Scheduling and Optimization Algorithms 8
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- Traffic control and management 16
- Co-authors
- Weiming Shen (11 shared papers)Hong‐Fei Teng (14 shared papers)Xueyan Sun (8 shared papers)Xu Guobao (1 shared paper)Bao Zhang (1 shared paper)Wang Chen (4 shared papers)Bryan A. Liang (2 shared papers)Richard W. Hartel (2 shared papers)
In The Last Decade
Yanjun Shi
69 papers receiving 968 citations
Peers
Comparison fields: 5 of 93
- Industrial and Manufacturing Engineering 385
- Automotive Engineering 136
- Building and Construction 142
- Management Science and Operations Research 94
- Control and Systems Engineering 172
Countries citing papers authored by Yanjun Shi
This map shows the geographic impact of Yanjun Shi'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 Yanjun Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanjun Shi more than expected).
Fields of papers citing papers by Yanjun Shi
This network shows the impact of papers produced by Yanjun Shi. 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 Yanjun Shi. The network helps show where Yanjun Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanjun Shi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 165 | |
| 2 | 2009 | 102 | |
| 3 | 2007 | 85 | |
| 4 | 2009 | 60 | |
| 5 | 1990 | 43 | |
| 6 | 2019 | 40 | |
| 7 | 2019 | 37 | |
| 8 | 2021 | 37 | |
| 9 | 2023 | 36 | |
| 10 | 2022 | 29 | |
| 11 | 1991 | 23 | |
| 12 | 2020 | 22 | |
| 13 | 2020 | 22 | |
| 14 | 2020 | 21 | |
| 15 | 2022 | 19 | |
| 16 | 2009 | 17 | |
| 17 | 2020 | 16 | |
| 18 | 2022 | 14 | |
| 19 | 2012 | 14 | |
| 20 | 2021 | 12 |
About Yanjun Shi
Yanjun Shi is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering, Electrical and Electronic Engineering, Automotive Engineering and Computer Networks and Communications, having authored 77 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Manufacturing and Logistics Optimization (25 papers), Optimization and Packing Problems (19 papers), Traffic control and management (16 papers), Scheduling and Optimization Algorithms (8 papers), Autonomous Vehicle Technology and Safety (8 papers), IoT and Edge/Fog Computing (8 papers), Transportation Planning and Optimization (8 papers) and Vehicular Ad Hoc Networks (VANETs) (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (385 citations), Automotive Engineering (136 citations), Building and Construction (142 citations), Management Science and Operations Research (94 citations) and Control and Systems Engineering (172 citations). Yanjun Shi has collaborated with scholars based in China, Canada and Sweden. Frequent co-authors include Weiming Shen, Hong‐Fei Teng, Xueyan Sun, Xu Guobao, Bao Zhang, Wang Chen, Bryan A. Liang, Richard W. Hartel, Lingling Lv and Wei Zeng. Their work appears in journals such as IEEE Access, Journal of Food Science, Sensors, Applied Sciences and Future Internet.
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.