Bin Ling
Impact in
- Mechanical Engineering top 10%
- Cellular and Composite Structures
- Advanced Materials and Mechanics
- Additive Manufacturing Materials and Processes
- High Entropy Alloys Studies
- Automotive Engineering top 10%
- Additive Manufacturing and 3D Printing Technologies
Papers in
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- Cellular and Composite Structures 5
- Structural Analysis of Composite Materials 2
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- Masonry and Concrete Structural Analysis 2
- Structural Analysis and Optimization 1
- Co-authors
- Daining Fang (6 shared papers)Zhaoliang Qu (5 shared papers)Kai Wei (5 shared papers)Xujing Yang (3 shared papers)Qidong Yang (3 shared papers)Haiqiong Xie (2 shared papers)Zhonggang Wang (1 shared paper)Kai Wei (1 shared paper)
In The Last Decade
Bin Ling
10 papers receiving 412 citations
Peers
Comparison fields: 5 of 49
- Mechanical Engineering 341
- Automotive Engineering 99
- Civil and Structural Engineering 107
- Polymers and Plastics 43
- Mechanics of Materials 68
Countries citing papers authored by Bin Ling
This map shows the geographic impact of Bin Ling'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 Bin Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Ling more than expected).
Fields of papers citing papers by Bin Ling
This network shows the impact of papers produced by Bin Ling. 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 Bin Ling. The network helps show where Bin Ling may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Ling, 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 | 2019 | 101 | |
| 2 | 2020 | 88 | |
| 3 | 2018 | 72 | |
| 4 | 2020 | 54 | |
| 5 | 2018 | 36 | |
| 6 | 2021 | 27 | |
| 7 | 2022 | 18 | |
| 8 | 2022 | 17 | |
| 9 | 2024 | 6 | |
| 10 | 2023 | 1 |
About Bin Ling
Bin Ling is a scholar working on Mechanical Engineering, Civil and Structural Engineering, Mechanics of Materials, Automotive Engineering and Polymers and Plastics, having authored 10 papers that have together received 420 indexed citations. Recurring topics across this work include Cellular and Composite Structures (5 papers), Structural Analysis of Composite Materials (2 papers), Masonry and Concrete Structural Analysis (2 papers), Additive Manufacturing and 3D Printing Technologies (2 papers), Polymer composites and self-healing (2 papers), Composite Structure Analysis and Optimization (2 papers), Structural Analysis and Optimization (1 paper) and Mycobacterium research and diagnosis (1 paper). The work is most often cited by research in Mechanical Engineering (341 citations), Automotive Engineering (99 citations), Civil and Structural Engineering (107 citations), Polymers and Plastics (43 citations) and Mechanics of Materials (68 citations). Bin Ling has collaborated with scholars based in China and Italy. Frequent co-authors include Daining Fang, Zhaoliang Qu, Kai Wei, Xujing Yang, Qidong Yang, Haiqiong Xie, Zhonggang Wang, Kai Wei, Yongmao Pei and Wentao Xu. Their work appears in journals such as Extreme Mechanics Letters, International Journal of Mechanical Sciences, Journal of Building Engineering, Earthquake Engineering & Structural Dynamics and Materials Science and Engineering A.
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.