Zhenze Yang

1.8k total citations · 3 hit papers
26 papers, 1.3k citations indexed

About

Zhenze Yang is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Biomaterials. According to data from OpenAlex, Zhenze Yang has authored 26 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Materials Chemistry, 8 papers in Electrical and Electronic Engineering and 7 papers in Biomaterials. Recurrent topics in Zhenze Yang's work include Machine Learning in Materials Science (13 papers), Graphene research and applications (3 papers) and Surface Modification and Superhydrophobicity (3 papers). Zhenze Yang is often cited by papers focused on Machine Learning in Materials Science (13 papers), Graphene research and applications (3 papers) and Surface Modification and Superhydrophobicity (3 papers). Zhenze Yang collaborates with scholars based in United States, China and Taiwan. Zhenze Yang's co-authors include Markus J. Buehler, Chi‐Hua Yu, Kai Guo, Chi-Hua Yu, Yujie Ding, Yuntao Cui, Shuo Xu, Jing Liu, Fei Liang and Xi Zhao and has published in prestigious journals such as Advanced Materials, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.

In The Last Decade

Zhenze Yang

26 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Artificial intelligence and machine learning in design of mechanical materials

2020 438 citations Kai Guo, Zhenze Yang et al. Materials Horizons profile →
Deep learning model to predict complex stress and strain fields in hierarchical composites

2021 255 citations Zhenze Yang, Chi‐Hua Yu et al. Science Advances profile →
A predictive machine learning force-field framework for liquid electrolyte development

2025 29 citations Sheng Gong, Zhenliang Mu et al. Nature Machine Intelligence profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Zhenze Yang United States	15	503	421	250	244	187	26	1.3k
Chi‐Hua Yu Taiwan	14	416 0.8×	306 0.7×	238 1.0×	194 0.8×	143 0.8×	35	1.2k
Kai Guo China	16	311 0.6×	286 0.7×	149 0.6×	138 0.6×	343 1.8×	35	1.1k
Charles Yang United States	16	227 0.5×	436 1.0×	182 0.7×	374 1.5×	72 0.4×	26	1.0k
P. R. Budarapu India	23	507 1.0×	513 1.2×	192 0.8×	730 3.0×	227 1.2×	58	1.8k
Hu Zhang China	27	932 1.9×	945 2.2×	433 1.7×	303 1.2×	348 1.9×	125	2.8k
Carlos M. Portela United States	17	415 0.8×	973 2.3×	575 2.3×	213 0.9×	149 0.8×	35	1.9k
Chao Qian China	23	900 1.8×	356 0.8×	636 2.5×	98 0.4×	226 1.2×	57	1.9k
Yujia Liu China	20	232 0.5×	317 0.8×	327 1.3×	289 1.2×	270 1.4×	102	1.3k
Volfango Bertola United Kingdom	27	335 0.7×	317 0.8×	447 1.8×	157 0.6×	315 1.7×	100	2.2k
Frederick R. Phelan United States	23	392 0.8×	579 1.4×	353 1.4×	637 2.6×	265 1.4×	38	1.8k

Countries citing papers authored by Zhenze Yang

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Zhenze Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenze Yang. A scholar is included among the top collaborators of Zhenze Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhenze Yang. Zhenze Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Gong, Sheng, Zhenliang Mu, Hongyi Wang, et al.. (2025). A predictive machine learning force-field framework for liquid electrolyte development. Nature Machine Intelligence. 7(4). 543–552. 29 indexed citations breakdown →

Dong, Yifan, et al.. (2025). Rational Synthesis of Photocatalytic Acridinium‐Based Covalent Organic Frameworks via Single‐Atom Skeletal Editing. Angewandte Chemie International Edition. 64(47). e202514572–e202514572. 1 indexed citations

Yang, Zhenze, et al.. (2025). Design and sustainability of polypeptide material systems. Nature Reviews Materials. 10(10). 750–768. 4 indexed citations

Yang, Zhenze, et al.. (2025). Learning the rules of peptide self-assembly through data mining with large language models. Science Advances. 11(13). eadv1971–eadv1971. 4 indexed citations

Yang, Zhenze, et al.. (2025). Reactive wetting induced instantaneous nanoparticles internalization in gallium-based liquid metal. Surfaces and Interfaces. 72. 107098–107098. 1 indexed citations

Ni, Bo, Chee‐Tat Toh, Doug Steinbach, et al.. (2025). Intrinsic toughening in monolayer amorphous carbon nanocomposites. Matter. 8(4). 102000–102000. 5 indexed citations

Yang, Zhenze, et al.. (2024). De novo design of polymer electrolytes using GPT-based and diffusion-based generative models. npj Computational Materials. 10(1). 24 indexed citations

Ni, Bo, et al.. (2024). Learning from Nature to Achieve Material Sustainability: Generative AI for Rigorous Bio-inspired Materials Design. 12 indexed citations

Khajeh, Arash, X. L. Lei, Weike Ye, et al.. (2024). A materials discovery framework based on conditional generative models applied to the design of polymer electrolytes. Digital Discovery. 4(1). 11–20. 7 indexed citations

10.

Zhang, Yingyi, et al.. (2023). Using Space Syntax in Close Interaction Analysis between the Elderly: Towards a Healthier Urban Environment. Buildings. 13(6). 1456–1456. 9 indexed citations

11.

Yang, Zhenze & Markus J. Buehler. (2023). Fill in the Blank: Transferrable Deep Learning Approaches to Recover Missing Physical Field Information. Advanced Materials. 35(23). e2301449–e2301449. 19 indexed citations

12.

Ni, Bo, Doug Steinbach, Zhenze Yang, et al.. (2022). Fracture at the two-dimensional limit. MRS Bulletin. 47(8). 848–862. 14 indexed citations

13.

Yang, Zhenze & Markus J. Buehler. (2022). High‐Throughput Generation of 3D Graphene Metamaterials and Property Quantification Using Machine Learning. Small Methods. 6(9). e2200537–e2200537. 25 indexed citations

14.

Yu, Chi‐Hua, et al.. (2022). Hierarchical Multiresolution Design of Bioinspired Structural Composites Using Progressive Reinforcement Learning. Advanced Theory and Simulations. 5(11). 40 indexed citations

15.

Yang, Zhenze, et al.. (2022). Rapid mechanical property prediction and de novo design of three-dimensional spider webs through graph and GraphPerceiver neural networks. Journal of Applied Physics. 132(7). 16 indexed citations

16.

Yang, Zhenze & Markus J. Buehler. (2022). Linking atomic structural defects to mesoscale properties in crystalline solids using graph neural networks. npj Computational Materials. 8(1). 29 indexed citations

17.

Yang, Zhenze, Chi‐Hua Yu, & Markus J. Buehler. (2021). Deep learning model to predict complex stress and strain fields in hierarchical composites. Science Advances. 7(15). 255 indexed citations breakdown →

18.

Yang, Zhenze, Chi-Hua Yu, Kai Guo, & Markus J. Buehler. (2021). End-to-end deep learning method to predict complete strain and stress tensors for complex hierarchical composite microstructures. Journal of the Mechanics and Physics of Solids. 154. 104506–104506. 107 indexed citations

19.

Guo, Kai, Zhenze Yang, Chi‐Hua Yu, & Markus J. Buehler. (2020). Artificial intelligence and machine learning in design of mechanical materials. Materials Horizons. 8(4). 1153–1172. 438 indexed citations breakdown →

20.

Cui, Yuntao, Fei Liang, Zhenze Yang, et al.. (2018). Metallic Bond-Enabled Wetting Behavior at the Liquid Ga/CuGa₂ Interfaces. ACS Applied Materials & Interfaces. 10(11). 9203–9210. 128 indexed citations

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.

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