Beining Zhang
Impact in
- Ocean Engineering top 5%
- Coal Properties and Utilization
- Automotive Engineering top 10%
- Additive Manufacturing and 3D Printing Technologies
Papers in
-
- Advanced Memory and Neural Computing 3
- Co-authors
- Jingyi Xu (2 shared papers)Xiaosi Zhou (2 shared papers)Yifan Xu (1 shared paper)Jiwei Yan (1 shared paper)Zhenyu Wang (2 shared papers)Peng Yan (2 shared papers)Yunshan Cao (2 shared papers)Rui Yang (3 shared papers)
- Journals
- Virtual and Physical Prototyping (3 papers)Archives of Microbiology (2 papers)Energy & Fuels (2 papers)Additive manufacturing (2 papers)Organic Chemistry Frontiers (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Beining Zhang
50 papers receiving 766 citations
Peers
Comparison fields: 5 of 107
- Ocean Engineering 119
- Automotive Engineering 77
- Mechanics of Materials 130
- Fuel Technology 4
- Electronic, Optical and Magnetic Materials 83
Countries citing papers authored by Beining Zhang
This map shows the geographic impact of Beining Zhang'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 Beining Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beining Zhang more than expected).
Fields of papers citing papers by Beining Zhang
This network shows the impact of papers produced by Beining Zhang. 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 Beining Zhang. The network helps show where Beining Zhang may publish in the future.
Co-authors
The 25 scholars most cited alongside Beining Zhang, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 115 | |
| 2 | 2021 | 70 | |
| 3 | 2017 | 56 | |
| 4 | 2024 | 56 | |
| 5 | 2020 | 47 | |
| 6 | 2022 | 43 | |
| 7 | 2018 | 37 | |
| 8 | 2023 | 36 | |
| 9 | 2024 | 35 | |
| 10 | 2018 | 32 | |
| 11 | 2018 | 26 | |
| 12 | 2020 | 25 | |
| 13 | 2024 | 21 | |
| 14 | 2020 | 21 | |
| 15 | 2021 | 13 | |
| 16 | 2020 | 11 | |
| 17 | 2022 | 10 | |
| 18 | 2023 | 9 | |
| 19 | 2022 | 9 | |
| 20 | 2018 | 9 |
About Beining Zhang
Beining Zhang is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Automotive Engineering, Mechanics of Materials and Biomedical Engineering, having authored 53 papers that have together received 783 indexed citations. Recurring topics across this work include Additive Manufacturing and 3D Printing Technologies (8 papers), Manufacturing Process and Optimization (6 papers), Coal Properties and Utilization (6 papers), Catalytic C–H Functionalization Methods (4 papers), Rock Mechanics and Modeling (4 papers), Conducting polymers and applications (3 papers), Hydrocarbon exploration and reservoir analysis (3 papers) and Advanced Memory and Neural Computing (3 papers). The work is most often cited by research in Ocean Engineering (119 citations), Automotive Engineering (77 citations), Mechanics of Materials (130 citations), Fuel Technology (4 citations) and Electronic, Optical and Magnetic Materials (83 citations). Beining Zhang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Jingyi Xu, Xiaosi Zhou, Yifan Xu, Jiwei Yan, Zhenyu Wang, Peng Yan, Yunshan Cao, Rui Yang, Changning Sun and P.G. Ranjith. Their work appears in journals such as Virtual and Physical Prototyping, Archives of Microbiology, Energy & Fuels, Additive manufacturing and Organic Chemistry Frontiers.
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.