Sheng Bin
Impact in
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- Product Development and Customization
Papers in
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- Complex Network Analysis Techniques 12
- Opinion Dynamics and Social Influence 8
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- Caching and Content Delivery 4
- Co-authors
- Gengxin Sun (35 shared papers)George Q. Huang (4 shared papers)Haidong Yang (1 shared paper)Tengteng Qu (1 shared paper)Lina Xu (2 shared papers)Meng Jiang (2 shared papers)Chao Qian (2 shared papers)Dacheng Xu (2 shared papers)
In The Last Decade
Sheng Bin
41 papers receiving 500 citations
Peers
Comparison fields: 5 of 90
- Business and International Management 18
- Management of Technology and Innovation 49
- Industrial and Manufacturing Engineering 61
- Statistical and Nonlinear Physics 61
- Modeling and Simulation 22
Countries citing papers authored by Sheng Bin
This map shows the geographic impact of Sheng Bin'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 Sheng Bin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheng Bin more than expected).
Fields of papers citing papers by Sheng Bin
This network shows the impact of papers produced by Sheng Bin. 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 Sheng Bin. The network helps show where Sheng Bin may publish in the future.
Co-authors
The 25 scholars most cited alongside Sheng Bin, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 70 | |
| 2 | 2020 | 51 | |
| 3 | 2021 | 38 | |
| 4 | Router-Level Internet Topology Evolution Model based on Multi-Subnet Composited Complex Network Model | 2017 | 36 |
| 5 | 2021 | 36 | |
| 6 | 2010 | 33 | |
| 7 | 2019 | 30 | |
| 8 | 2019 | 28 | |
| 9 | 2019 | 26 | |
| 10 | 2018 | 23 | |
| 11 | 2020 | 19 | |
| 12 | 2003 | 15 | |
| 13 | 2019 | 15 | |
| 14 | 2022 | 14 | |
| 15 | 2023 | 12 | |
| 16 | 2016 | 10 | |
| 17 | 2018 | 10 | |
| 18 | 2010 | 8 | |
| 19 | 2018 | 8 | |
| 20 | 2016 | 5 |
About Sheng Bin
Sheng Bin is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Information Systems, Artificial Intelligence and Management of Technology and Innovation, having authored 45 papers that have together received 539 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (12 papers), Opinion Dynamics and Social Influence (8 papers), Product Development and Customization (5 papers), Recommender Systems and Techniques (4 papers), Design Education and Practice (4 papers), Caching and Content Delivery (4 papers), E-commerce and Technology Innovations (4 papers) and Data Management and Algorithms (3 papers). The work is most often cited by research in Business and International Management (18 citations), Management of Technology and Innovation (49 citations), Industrial and Manufacturing Engineering (61 citations), Statistical and Nonlinear Physics (61 citations) and Modeling and Simulation (22 citations). Sheng Bin has collaborated with scholars based in China, Hong Kong and Taiwan. Frequent co-authors include Gengxin Sun, George Q. Huang, Haidong Yang, Tengteng Qu, Lina Xu, Meng Jiang, Chao Qian, Dacheng Xu, Fang Chen and Xinxin Li. Their work appears in journals such as Computers, materials & continua/Computers, materials & continua (Print), Sustainability, Scientific Reports, International Journal of Environmental Research and Public Health and Microsystem Technologies.
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.