Che‐Hua Yang

2.0k total citations
162 papers, 1.4k citations indexed

About

Che‐Hua Yang is a scholar working on Mechanical Engineering, Mechanics of Materials and Biomedical Engineering. According to data from OpenAlex, Che‐Hua Yang has authored 162 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Mechanical Engineering, 78 papers in Mechanics of Materials and 36 papers in Biomedical Engineering. Recurrent topics in Che‐Hua Yang's work include Ultrasonics and Acoustic Wave Propagation (53 papers), Additive Manufacturing Materials and Processes (52 papers) and High Entropy Alloys Studies (43 papers). Che‐Hua Yang is often cited by papers focused on Ultrasonics and Acoustic Wave Propagation (53 papers), Additive Manufacturing Materials and Processes (52 papers) and High Entropy Alloys Studies (43 papers). Che‐Hua Yang collaborates with scholars based in Taiwan, India and China. Che‐Hua Yang's co-authors include N. Jeyaprakash, M. Saravana Kumar, K. Ramkumar, S. Sivasankaran, Muthukannan Duraiselvam, Cheng‐Hung Yeh, Dale E. Chimenti, Dhiraj Kumar, V. Kavimani and Adeolu Adesoji Adediran and has published in prestigious journals such as Nature Communications, Applied Physics Letters and Analytical Chemistry.

In The Last Decade

Che‐Hua Yang

148 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Che‐Hua Yang Taiwan 19 969 547 296 274 235 162 1.4k
Ding Fan China 24 1.5k 1.6× 404 0.7× 119 0.4× 177 0.6× 279 1.2× 175 1.8k
Kay André Weidenmann Germany 25 1.2k 1.3× 932 1.7× 198 0.7× 196 0.7× 397 1.7× 177 1.9k
N. Jeyaprakash Taiwan 19 979 1.0× 274 0.5× 105 0.4× 224 0.8× 237 1.0× 118 1.2k
Biao Li China 17 646 0.7× 437 0.8× 101 0.3× 148 0.5× 260 1.1× 65 1.1k
Federico Sket Spain 25 1.0k 1.0× 1.0k 1.8× 175 0.6× 120 0.4× 426 1.8× 60 1.7k
Paolo Bettini Italy 18 500 0.5× 294 0.5× 155 0.5× 232 0.8× 171 0.7× 70 1.1k
С. В. Панин Russia 20 1.1k 1.1× 1.1k 2.1× 183 0.6× 164 0.6× 676 2.9× 383 2.0k
Eleonora Santecchia Italy 15 803 0.8× 415 0.8× 106 0.4× 269 1.0× 390 1.7× 45 1.1k
Jean Pierre Bergmann Germany 21 1.8k 1.8× 406 0.7× 131 0.4× 356 1.3× 279 1.2× 208 2.0k
J. Folkes United Kingdom 15 1.2k 1.2× 235 0.4× 256 0.9× 374 1.4× 296 1.3× 30 1.5k

Countries citing papers authored by Che‐Hua Yang

Since Specialization
Citations

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

Fields of papers citing papers by Che‐Hua Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Che‐Hua Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Che‐Hua Yang. A scholar is included among the top collaborators of Che‐Hua 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 Che‐Hua Yang. Che‐Hua 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.
Kumar, M. Saravana, Che‐Hua Yang, M. Vignesh, et al.. (2025). Optimizing the filler distribution to enhance the interlaminar shear strength and impact resistance of fiber reinforced epoxy composites. Polymer Composites. 46(14). 12650–12662. 2 indexed citations
3.
Kumar, M. Saravana, N. Jeyaprakash, & Che‐Hua Yang. (2024). Influence of defects formation on the cracking behavior of LPBFed Cu-Cr-Zr alloy: Micro-mechanism and CRITIC-WASPAS approach. Engineering Failure Analysis. 160. 108206–108206. 8 indexed citations
4.
Kumar, M. Saravana, N. Jeyaprakash, & Che‐Hua Yang. (2024). Effect of combined parametric impacts on collapsing the wall quality of WAAM Al5356 component. Engineering Failure Analysis. 166. 108848–108848. 3 indexed citations
5.
Yang, Che‐Hua, et al.. (2024). Nanowear characterization of LPBF fabricated CuCrZr alloy. Tribology International. 194. 109430–109430. 2 indexed citations
6.
Yang, Che‐Hua, et al.. (2024). Analysis of tribological behavior of Laser Powder Bed Fusion (LPBF) CuCrZr alloy through reciprocating loading on the columnar structure. Tribology International. 202. 110301–110301. 2 indexed citations
7.
Jeyaprakash, N., et al.. (2024). Evaluation of friction and wear depth during the cyclic loading on partly melted LPBF particles of LPBF Cu alloy. Materials Characterization. 217. 114386–114386. 3 indexed citations
8.
Kumar, M. Saravana, N. Jeyaprakash, & Che‐Hua Yang. (2024). Analysis of co-relation on LPBF process parameter on wear characteristics of Cu-Cr-Zr alloy. Surface Topography Metrology and Properties. 12(3). 35038–35038. 2 indexed citations
9.
Jeyaprakash, N., et al.. (2023). Analysis on the transformation of melt wear to self-healing crack of wire arc additive manufactured Al 5356 alloy. Tribology International. 188. 108802–108802. 12 indexed citations
10.
Karakoç, Halil, et al.. (2023). Influence of gradation in the reinforcement particles on the interfacial microstructure and mechanical properties of functionally graded composites. Materials Today Communications. 38. 107601–107601. 5 indexed citations
11.
Jeyaprakash, N., M. Saravana Kumar, Che‐Hua Yang, et al.. (2023). Effect of microstructural evolution during melt pool formation on nano-mechanical properties in LPBF based SS316L parts. Journal of Alloys and Compounds. 972. 172745–172745. 18 indexed citations
12.
Jeyaprakash, N., et al.. (2023). Mechanism Correlating Microstructure and Wear Behaviour of Ti-6Al-4V Plate Produced Using Selective Laser Melting. Metals. 13(3). 575–575. 8 indexed citations
13.
Kumar, M. Saravana, N. Jeyaprakash, & Che‐Hua Yang. (2023). Enhancement of strength and ductility in LPBFed Cu-Cr-Zr alloy by combined parametric approach. The International Journal of Advanced Manufacturing Technology. 130(5-6). 2999–3015.
14.
Jeyaprakash, N., et al.. (2023). Investigation on deformation of nano-twins of LPBF produced Cu alloy through Triboindenter. Tribology International. 191. 109117–109117. 6 indexed citations
15.
Jeyaprakash, N., M. Saravana Kumar, Che‐Hua Yang, et al.. (2023). Effect of martensitic phase formation on the nano-mechanical attributes during the electron beam melting process of Ti-6Al-4V. Materials Characterization. 207. 113592–113592. 4 indexed citations
16.
Jeyaprakash, N., et al.. (2023). Inclusion of nano silicon particle in SS316L through LPBF and its responses on corrosion behaviour. Ceramics International. 49(16). 26450–26468. 6 indexed citations
17.
Jeyaprakash, N., et al.. (2019). Enhancing the tribological properties of nodular cast iron using multi wall carbon nano-tubes (MWCNTs) as lubricant additives. Materials Research Express. 6(4). 45038–45038. 9 indexed citations
18.
Jeyaprakash, N., Che‐Hua Yang, & S. Sivasankaran. (2019). Laser cladding process of Cobalt and Nickel based hard-micron-layers on 316L-stainless-steel-substrate. Materials and Manufacturing Processes. 35(2). 142–151. 67 indexed citations
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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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