Hang Yang

637 total citations · 1 hit paper
26 papers, 464 citations indexed

About

Hang Yang is a scholar working on Mechanics of Materials, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Hang Yang has authored 26 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Mechanics of Materials, 10 papers in Biomedical Engineering and 9 papers in Mechanical Engineering. Recurrent topics in Hang Yang's work include Elasticity and Material Modeling (8 papers), Composite Material Mechanics (7 papers) and Model Reduction and Neural Networks (7 papers). Hang Yang is often cited by papers focused on Elasticity and Material Modeling (8 papers), Composite Material Mechanics (7 papers) and Model Reduction and Neural Networks (7 papers). Hang Yang collaborates with scholars based in China, Egypt and United States. Hang Yang's co-authors include Shan Tang, Xu Guo, Wing Kam Liu, Hai Qiu, Xu Guo, Xiang Qian, Ying Li, Khalil I. Elkhodary, Gang Zhang and Erdong Wang and has published in prestigious journals such as Advanced Materials, Computer Methods in Applied Mechanics and Engineering and Journal of Applied Mechanics.

In The Last Decade

Hang Yang

24 papers receiving 453 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.

Multi‐Physical Lattice Metamaterials Enabled by Additive Manufacturing: Design Principles, Interaction Mechanisms, and Multifunctional Applications

2025 46 citations Hang Yang, Xinwei Li et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hang Yang China	11	199	180	127	106	83	26	464
M. Koishi Japan	11	323 1.6×	202 1.1×	173 1.4×	114 1.1×	65 0.8×	18	588
Erman Guleryuz United States	5	82 0.4×	118 0.7×	142 1.1×	97 0.9×	61 0.7×	8	353
Vladimir Buljak Serbia	13	181 0.9×	185 1.0×	104 0.8×	60 0.6×	41 0.5×	24	383
Karl A. Kalina Germany	15	275 1.4×	157 0.9×	327 2.6×	369 3.5×	176 2.1×	37	797
Julian N. Heidenreich Switzerland	7	174 0.9×	166 0.9×	66 0.5×	48 0.5×	79 1.0×	8	342
Pierre Beauchêne France	12	194 1.0×	159 0.9×	44 0.3×	42 0.4×	33 0.4×	26	376
Jan-Hendrik Bastek Switzerland	4	76 0.4×	181 1.0×	119 0.9×	108 1.0×	62 0.7×	6	370
Zhe Ding China	14	364 1.8×	210 1.2×	259 2.0×	66 0.6×	29 0.3×	31	777
Modesar Shakoor France	16	342 1.7×	256 1.4×	48 0.4×	75 0.7×	25 0.3×	35	568
Timothy J. Truster United States	15	395 2.0×	109 0.6×	61 0.5×	73 0.7×	18 0.2×	44	569

Countries citing papers authored by Hang Yang

Since Specialization

Citations

This map shows the geographic impact of Hang 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 Hang Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hang Yang more than expected).

Fields of papers citing papers by Hang Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hang 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 Hang Yang. The network helps show where Hang Yang may publish in the future.

Co-authorship network of co-authors of Hang Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Hang Yang. A scholar is included among the top collaborators of Hang 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 Hang Yang. Hang Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Li, Shengping, Chuanlei Qi, Haipeng Song, et al.. (2025). One-step preparation of hierarchically porous carbon from petroleum asphalt for high-performance supercapacitors. Journal of Materials Science. 60(26). 10870–10882. 1 indexed citations

Pei, Haoran, Hang Yang, Tian Li, et al.. (2025). Moth‐Wing‐Inspired Multifunctional Metamaterials. Advanced Materials. 38(9). e15350–e15350.

Yang, Hang, et al.. (2024). Constitutive model of metal rubber based on modified Iwan model under quasi-static compression and random vibration. Mechanical Systems and Signal Processing. 215. 111427–111427. 9 indexed citations

Guo, Xiao, Erdong Wang, Hang Yang, & Wei Zhai. (2024). Mechanical characterization and constitutive modeling of additively-manufactured polymeric materials and lattice structures. Journal of the Mechanics and Physics of Solids. 189. 105711–105711. 24 indexed citations

Liu, Daoping, Hang Yang, Khalil I. Elkhodary, Shan Tang, & Xu Guo. (2023). Cyclic softening in nonlocal shells—A data-driven graph-gradient plasticity approach. Extreme Mechanics Letters. 60. 101995–101995. 8 indexed citations

Qian, Xiang, Hang Yang, Khalil I. Elkhodary, et al.. (2022). A multiscale, data-driven approach to identifying thermo-mechanically coupled laws—bottom-up with artificial neural networks. Computational Mechanics. 70(1). 163–179. 10 indexed citations

Qian, Xiang, Hang Yang, Khalil I. Elkhodary, et al.. (2022). Derivation of the Orthotropic Nonlinear Elastic Material Law Driven by Low-Cost Data (DDONE). Acta Mechanica Solida Sinica. 35(5). 800–812.

Yang, Hang, et al.. (2022). Elastoplastic constitutive modeling under the complex loading driven by GRU and small-amount data. Theoretical and Applied Mechanics Letters. 12(6). 100363–100363. 10 indexed citations

Qiu, Hai, Hang Yang, Khalil I. Elkhodary, et al.. (2021). A data-driven approach for modeling tension–compression asymmetric material behavior: numerical simulation and experiment. Computational Mechanics. 69(1). 299–313. 9 indexed citations

10.

Chen, Jie, Hang Yang, Khalil I. Elkhodary, Shan Tang, & Xu Guo. (2021). G-MAP123: A mechanistic-based data-driven approach for 3D nonlinear elastic modeling — Via both uniaxial and equibiaxial tension experimental data. Extreme Mechanics Letters. 50. 101545–101545. 4 indexed citations

11.

Ye, Sudong, et al.. (2021). A Cooperative Co-evolution Algorithm for Fuzzy Production Planning and Scheduling in Prefabricated Building Construction. 269–274. 3 indexed citations

12.

Yang, Hang, Hai Qiu, Xiang Qian, Shan Tang, & Xu Guo. (2020). Exploring Elastoplastic Constitutive Law of Microstructured Materials Through Artificial Neural Network—A Mechanistic-Based Data-Driven Approach. Journal of Applied Mechanics. 87(9). 50 indexed citations

13.

Tang, Shan, Hang Yang, Hai Qiu, et al.. (2020). MAP123-EPF: A mechanistic-based data-driven approach for numerical elastoplastic modeling at finite strain. Computer Methods in Applied Mechanics and Engineering. 373. 113484–113484. 27 indexed citations

14.

Yang, Hang, Xiang Qian, Shan Tang, & Xu Guo. (2020). Learning material law from displacement fields by artificial neural network. Theoretical and Applied Mechanics Letters. 10(3). 202–206. 14 indexed citations

15.

Tang, Shan, Gang Zhang, Hang Yang, et al.. (2019). MAP123: A data-driven approach to use 1D data for 3D nonlinear elastic materials modeling. Computer Methods in Applied Mechanics and Engineering. 357. 112587–112587. 51 indexed citations

16.

Yang, Hang, Xu Guo, Shan Tang, & Wing Kam Liu. (2019). Derivation of heterogeneous material laws via data-driven principal component expansions. Computational Mechanics. 64(2). 365–379. 74 indexed citations

17.

Yang, Hang, Xinwu Ma, Feng Jiao, & Zheng Fang. (2018). Preform optimal design of H-shaped forging based on bi-directional evolutionary structural optimization. The International Journal of Advanced Manufacturing Technology. 101(1-4). 1–8. 21 indexed citations

18.

Xiang, Qian, Xianghe Peng, Hang Yang, et al.. (2017). Deformation mechanisms and twin boundary effects in cadmium telluride under nanoindentation. Ceramics International. 43(16). 14405–14412. 5 indexed citations

19.

Sun, Qingchao, et al.. (2013). Energy Consumption Monitoring Systemin Discrete Manufacturing Plants. 541–544. 2 indexed citations

20.

Song, Lei, et al.. (2011). Experimental research on performance of vertical-axis three-hastate wind wheel. International Journal of Advanced Mechatronic Systems. 3(5/6). 365–365. 4 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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