Zhenze Yang
Impact in
- Structural Biology top 10%
- Metals and Alloys top 10%
Papers in
-
- Machine Learning in Materials Science 13
- Graphene research and applications 3
-
- Nanomaterials and Printing Technologies 2
- Electrohydrodynamics and Fluid Dynamics 2
- Co-authors
- Markus J. Buehler (17 shared papers)Chi‐Hua Yu (3 shared papers)Kai Guo (2 shared papers)Chi-Hua Yu (1 shared paper)Yuntao Cui (3 shared papers)Shuo Xu (2 shared papers)Jing Liu (3 shared papers)Yujie Ding (2 shared papers)
- Journals
- npj Computational Materials (2 papers)Journal of the Mechanics and Physics of Solids (2 papers)Science Advances (2 papers)Buildings (1 paper)Small Methods (1 paper)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Zhenze Yang
26 papers receiving 1.3k citations
Zhenze Yang's Hit Papers
Peers
Comparison fields: 5 of 112
- Structural Biology 25
- Metals and Alloys 30
- Mechanical Engineering 421
- Materials Chemistry 503
- Mechanics of Materials 244
Countries citing papers authored by Zhenze Yang
This map shows the geographic impact of Zhenze Yang'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 Zhenze Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhenze Yang more than expected).
Fields of papers citing papers by Zhenze Yang
This network shows the impact of papers produced by Zhenze Yang. 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 Zhenze Yang. The network helps show where Zhenze Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhenze Yang, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Artificial intelligence and machine learning in design of mechanical materials Hit paper breakdown → | 2020 | 438 |
| 2 | Deep learning model to predict complex stress and strain fields in hierarchical composites Hit paper breakdown → | 2021 | 255 |
| 3 | 2018 | 128 | |
| 4 | 2021 | 107 | |
| 5 | 2018 | 47 | |
| 6 | 2022 | 42 | |
| 7 | 2022 | 40 | |
| 8 | 2021 | 30 | |
| 9 | A predictive machine learning force-field framework for liquid electrolyte development Hit paper breakdown → | 2025 | 29 |
| 10 | 2022 | 29 | |
| 11 | 2022 | 25 | |
| 12 | 2024 | 24 | |
| 13 | 2021 | 23 | |
| 14 | 2023 | 19 | |
| 15 | 2022 | 16 | |
| 16 | 2022 | 14 | |
| 17 | 2022 | 14 | |
| 18 | 2024 | 12 | |
| 19 | 2023 | 9 | |
| 20 | 2024 | 7 |
About Zhenze Yang
Zhenze Yang is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Biomaterials, Mechanical Engineering and Mechanics of Materials, having authored 26 papers that have together received 1.3k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (13 papers), Surface Modification and Superhydrophobicity (3 papers), Graphene research and applications (3 papers), Silk-based biomaterials and applications (3 papers), Calcium Carbonate Crystallization and Inhibition (3 papers), Supramolecular Self-Assembly in Materials (2 papers), Nanomaterials and Printing Technologies (2 papers) and Electrohydrodynamics and Fluid Dynamics (2 papers). The work is most often cited by research in Structural Biology (25 citations), Metals and Alloys (30 citations), Mechanical Engineering (421 citations), Materials Chemistry (503 citations) and Mechanics of Materials (244 citations). Zhenze Yang has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Markus J. Buehler, Chi‐Hua Yu, Kai Guo, Chi-Hua Yu, Yuntao Cui, Shuo Xu, Jing Liu, Yujie Ding, Zheshuai Lin and Xi Zhao. Their work appears in journals such as npj Computational Materials, Journal of the Mechanics and Physics of Solids, Science Advances, Buildings and Small Methods.
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.