Charles Yang

1.5k total citations · 1 hit paper
26 papers, 1.0k citations indexed

About

Charles Yang is a scholar working on Mechanics of Materials, Civil and Structural Engineering and Mechanical Engineering. According to data from OpenAlex, Charles Yang has authored 26 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Mechanics of Materials, 12 papers in Civil and Structural Engineering and 11 papers in Mechanical Engineering. Recurrent topics in Charles Yang's work include Mechanical Behavior of Composites (8 papers), Structural Load-Bearing Analysis (5 papers) and Cellular and Composite Structures (4 papers). Charles Yang is often cited by papers focused on Mechanical Behavior of Composites (8 papers), Structural Load-Bearing Analysis (5 papers) and Cellular and Composite Structures (4 papers). Charles Yang collaborates with scholars based in United States and South Korea. Charles Yang's co-authors include Grace X. Gu, Youngsoo Kim, Seunghwa Ryu, Jackson K. Wilt, Yongtae Kim, Kundo Park, John Tomblin, DW Wilson, Sen Pang and EA Armanios and has published in prestigious journals such as Journal of Applied Physics, Applied and Environmental Microbiology and ACS Applied Materials & Interfaces.

In The Last Decade

Charles Yang

26 papers receiving 1.0k citations

Hit Papers

Prediction of composite microstructure stress-strain curv... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles Yang United States 16 436 374 265 227 182 26 1.0k
Lianhua Ma China 17 552 1.3× 426 1.1× 246 0.9× 113 0.5× 213 1.2× 66 1.0k
Xu We China 21 529 1.2× 617 1.6× 165 0.6× 244 1.1× 89 0.5× 113 1.2k
Bilen Emek Abali Germany 20 278 0.6× 549 1.5× 160 0.6× 448 2.0× 281 1.5× 76 1.2k
Yury Solyaev Russia 20 394 0.9× 552 1.5× 100 0.4× 468 2.1× 156 0.9× 90 1.0k
Aibing Zhang China 19 303 0.7× 306 0.8× 306 1.2× 539 2.4× 202 1.1× 70 993
Mark Messner United States 13 574 1.3× 182 0.5× 131 0.5× 176 0.8× 193 1.1× 75 814
Ram Mohan United States 17 357 0.8× 280 0.7× 92 0.3× 143 0.6× 144 0.8× 97 837
Michael W. Czabaj United States 16 299 0.7× 499 1.3× 118 0.4× 151 0.7× 107 0.6× 58 835
Zhong Hu United States 19 560 1.3× 378 1.0× 116 0.4× 404 1.8× 201 1.1× 85 1.2k
Adrián P. Cisilino Argentina 19 373 0.9× 661 1.8× 237 0.9× 166 0.7× 129 0.7× 77 1.0k

Countries citing papers authored by Charles Yang

Since Specialization
Citations

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

Fields of papers citing papers by Charles Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles Yang

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

All Works

20 of 20 papers shown
1.
Yang, Charles, et al.. (2022). Data-driven approach for the prediction of mechanical properties of carbon fiber reinforced composites. Materials Advances. 3(19). 7319–7327. 13 indexed citations
2.
Kim, Yongtae, Youngsoo Kim, Charles Yang, et al.. (2021). Deep learning framework for material design space exploration using active transfer learning and data augmentation. npj Computational Materials. 7(1). 131 indexed citations
3.
Wilt, Jackson K., Charles Yang, & Grace X. Gu. (2020). Accelerating Auxetic Metamaterial Design with Deep Learning. Advanced Engineering Materials. 22(5). 80 indexed citations
4.
Yang, Charles, Youngsoo Kim, Seunghwa Ryu, & Grace X. Gu. (2020). Prediction of composite microstructure stress-strain curves using convolutional neural networks. Materials & Design. 189. 108509–108509. 311 indexed citations breakdown →
5.
Wilt, Jackson K., Charles Yang, & Grace X. Gu. (2019). Accelerating Auxetic Metamaterial Design with Deep Learning. Advanced Engineering Materials. 22(5). 101 indexed citations
6.
Yang, Charles, Youngsoo Kim, Seunghwa Ryu, & Grace X. Gu. (2019). Using convolutional neural networks to predict composite properties beyond the elastic limit. MRS Communications. 9(2). 609–617. 71 indexed citations
7.
He, Xiang, Charles Yang, Dawei Wang, et al.. (2017). Facile synthesis of ZnO@ZIF core–shell nanofibers: crystal growth and gas adsorption. CrystEngComm. 19(18). 2445–2450. 34 indexed citations
8.
Yang, Charles, et al.. (2017). A Numerical and Experimental Approach to Characterize the Failure Modes of Hexagonal Cell Honeycomb Core Under In-Plane Loading. Holmes Museum Of Anthropology (Wichita State University). 3 indexed citations
9.
Athari, Mir Hadi, Charles Yang, & Zhifang Wang. (2017). Sequential optimal placement of distributed photovoltaics using downstream power index. 1–6. 2 indexed citations
10.
Yang, Charles, et al.. (2009). Estimating contrast transfer function and associated parameters by constrained non‐linear optimization. Journal of Microscopy. 233(3). 391–403. 28 indexed citations
11.
Mann, David A., et al.. (2006). EMAN2: Software for Image Analysis and Single Particle Reconstruction. Microscopy and Microanalysis. 12(S02). 388–389. 4 indexed citations
12.
Yang, Charles, John Tomblin, & Zhidong Guan. (2003). Analytical Modeling of ASTM Lap Shear Adhesive Specimens. Defense Technical Information Center (DTIC). 11 indexed citations
13.
Armanios, EA, et al.. (2002). Characterization of Bondline Thickness Effects in Adhesive Joints. Journal of Composites Technology and Research. 24(2). 80–80. 8 indexed citations
14.
Armanios, EA, et al.. (2002). Characterization of Bondline Thickness Effects in Adhesive Joints. Journal of Composites Technology and Research. 24(2). 332–332. 22 indexed citations
15.
Yang, Charles, Zhidong Guan, John Tomblin, & Wenjun Sun. (2002). Finite Element Analysis of Adhesive-Bonded Single-Lap Joints. Holmes Museum Of Anthropology (Wichita State University). 185–190. 1 indexed citations
16.
Armanios, EA, et al.. (2002). Stress and Failure Analyses of Adhesive-Bonded Composite Joints Using ASTM D3165 Specimens. Journal of Composites Technology and Research. 24(2). 345–345. 17 indexed citations
17.
Yang, Charles & John Tomblin. (2001). Investigation of Adhesive Behavior in Aircraft Applications. Holmes Museum Of Anthropology (Wichita State University). 7 indexed citations
18.
Pang, Sen, et al.. (1999). Kinematics Analysis of the Chipping Process Using the Circular Diamond Saw Blade. Journal of Manufacturing Science and Engineering. 121(2). 257–264. 29 indexed citations
19.
Dien, Stephen J. Van, et al.. (1997). Manipulation of independent synthesis and degradation of polyphosphate in Escherichia coli for investigation of phosphate secretion from the cell. Applied and Environmental Microbiology. 63(5). 1689–1695. 22 indexed citations
20.
Yang, Charles, et al.. (1985). Suppression of defective-sporulation phenotypes by mutations in the major sigma factor gene (rpoD) of Bacillus subtilis. Molecular and General Genetics MGG. 201(1). 96–98. 16 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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