Sheng Bin
Impact in
-
- Product Development and Customization
Papers in
-
- Complex Network Analysis Techniques 12
- Opinion Dynamics and Social Influence 8
-
- Caching and Content Delivery 4
- Co-authors
- Gengxin Sun (34 shared papers)George Q. Huang (5 shared papers)Haidong Yang (2 shared papers)Tengteng Qu (2 shared papers)Lina Xu (2 shared papers)Meng Jiang (2 shared papers)Hua Yang (1 shared paper)Yue Liu (1 shared paper)
In The Last Decade
Sheng Bin
42 papers receiving 475 citations
Peers
Comparison fields: 5 of 92
- Management of Technology and Innovation 73
- Business and International Management 17
- Industrial and Manufacturing Engineering 64
- Modeling and Simulation 24
- Computer Science Applications 24
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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 67 | |
| 2 | 2021 | 39 | |
| 3 | Router-Level Internet Topology Evolution Model based on Multi-Subnet Composited Complex Network Model | 2017 | 36 |
| 4 | 2021 | 36 | |
| 5 | 2010 | 33 | |
| 6 | 2019 | 32 | |
| 7 | 2019 | 31 | |
| 8 | 2019 | 30 | |
| 9 | 2010 | 26 | |
| 10 | 2020 | 18 | |
| 11 | 2022 | 17 | |
| 12 | 2023 | 17 | |
| 13 | 2003 | 16 | |
| 14 | 2019 | 15 | |
| 15 | 2010 | 11 | |
| 16 | 2018 | 10 | |
| 17 | 2016 | 10 | |
| 18 | 2018 | 8 | |
| 19 | 2022 | 5 | |
| 20 | 2003 | 5 |
About Sheng Bin
Sheng Bin is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Information Systems, Management of Technology and Innovation and Signal Processing, having authored 44 papers that have together received 511 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 (6 papers), Design Education and Practice (5 papers), Recommender Systems and Techniques (4 papers), Caching and Content Delivery (4 papers), E-commerce and Technology Innovations (3 papers) and COVID-19 epidemiological studies (3 papers). The work is most often cited by research in Management of Technology and Innovation (73 citations), Business and International Management (17 citations), Industrial and Manufacturing Engineering (64 citations), Modeling and Simulation (24 citations) and Computer Science Applications (24 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, Hua Yang, Yue Liu, Dongbo Wang and Ning Cao. Their work appears in journals such as Computers, materials & continua/Computers, materials & continua (Print), Sustainability, International Journal of Environmental Research and Public Health, Microsystem Technologies and International Journal of Production 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.