Yung‐Chin Yang

3.5k total citations
105 papers, 2.9k citations indexed

About

Yung‐Chin Yang is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Yung‐Chin Yang has authored 105 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Materials Chemistry, 30 papers in Electrical and Electronic Engineering and 28 papers in Biomedical Engineering. Recurrent topics in Yung‐Chin Yang's work include Supercapacitor Materials and Fabrication (21 papers), Bone Tissue Engineering Materials (20 papers) and Microbial Fuel Cells and Bioremediation (13 papers). Yung‐Chin Yang is often cited by papers focused on Supercapacitor Materials and Fabrication (21 papers), Bone Tissue Engineering Materials (20 papers) and Microbial Fuel Cells and Bioremediation (13 papers). Yung‐Chin Yang collaborates with scholars based in Taiwan, China and Malaysia. Yung‐Chin Yang's co-authors include Juti Rani Deka, Hsien‐Ming Kao, Diganta Saikia, Edward F. Chang, Yen Wah Tong, Shijie Liu, Jyh‐Wei Lee, Chin‐Tsan Wang, Guangyu Shen and Ranbo Yu and has published in prestigious journals such as Biomaterials, Journal of Power Sources and Journal of Hazardous Materials.

In The Last Decade

Yung‐Chin Yang

104 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yung‐Chin Yang Taiwan 32 1.1k 1.0k 747 547 360 105 2.9k
Musen Li China 33 1.3k 1.3× 1.2k 1.1× 1.1k 1.4× 462 0.8× 293 0.8× 143 3.1k
Hongshui Wang China 30 1.7k 1.6× 1.7k 1.6× 500 0.7× 488 0.9× 318 0.9× 112 3.5k
Chih‐Feng Wang Taiwan 35 1.2k 1.2× 1.2k 1.1× 928 1.2× 1.2k 2.1× 235 0.7× 123 4.4k
Paulo Noronha Lisboa‐Filho Brazil 30 1.5k 1.5× 954 0.9× 759 1.0× 269 0.5× 176 0.5× 232 3.5k
Marcin Pisarek Poland 31 1.9k 1.8× 964 0.9× 731 1.0× 563 1.0× 407 1.1× 196 3.4k
A. Madhan Kumar Saudi Arabia 34 2.1k 2.0× 836 0.8× 697 0.9× 480 0.9× 615 1.7× 121 3.6k
Andrew Michelmore Australia 34 1.5k 1.4× 1.7k 1.7× 747 1.0× 414 0.8× 373 1.0× 78 3.7k
Xiaoxiang Wang China 35 1.8k 1.7× 679 0.7× 1.1k 1.4× 702 1.3× 155 0.4× 118 3.2k
C. Luculescu Romania 29 1.0k 1.0× 1.1k 1.0× 428 0.6× 354 0.6× 412 1.1× 137 2.4k
Ahmad Monshi Iran 23 2.1k 1.9× 1.0k 1.0× 899 1.2× 656 1.2× 160 0.4× 76 3.8k

Countries citing papers authored by Yung‐Chin Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yung‐Chin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yung‐Chin Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Yung‐Chin Yang. A scholar is included among the top collaborators of Yung‐Chin 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 Yung‐Chin Yang. Yung‐Chin 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.
Wu, Pei‐Shan, A.Y. Chen, Yung‐Chin Yang, et al.. (2025). Biofunctional Zr-Ti-Si and Zr-Nb-Fe thin film metallic glasses with enhanced corrosion resistance and biocompatibility for medical implants. Materials & Design. 257. 114502–114502.
2.
Deka, Juti Rani, Diganta Saikia, Jiacheng Lin, et al.. (2025). ZIF-67-Derived Co−N−C Supported Ni Nanoparticles as Efficient Recyclable Catalyst for Hydrogenation of 4-Nitrophenol. Catalysts. 15(4). 343–343. 1 indexed citations
3.
Saikia, Diganta, et al.. (2024). CoO nanoparticles anchored on porous pinecone-derived activated carbon as anodes for high-performance lithium and sodium-ion batteries. Ceramics International. 51(16). 22498–22510. 3 indexed citations
4.
Deka, Juti Rani, et al.. (2024). Bimetallic FeCo nanoparticles embedded N-rich porous ZIF-derived carbon as highly active heterogeneous Fenton catalyst for degradation of tetracycline and organic dyes. Journal of environmental chemical engineering. 12(2). 112414–112414. 11 indexed citations
5.
Wu, Pei‐Shan, Shih‐Jie Lin, Yung‐Chin Yang, et al.. (2024). Mechanical properties and biocompatibility evaluation of TiZrNbTaFe high entropy alloy films deposited using a hybrid HiPIMS and RF sputtering system. Surface and Coatings Technology. 494. 131539–131539. 5 indexed citations
6.
7.
Deka, Juti Rani, et al.. (2023). Fe3O4 Nanoparticle-Decorated Bimodal Porous Carbon Nanocomposite Anode for High-Performance Lithium-Ion Batteries. Batteries. 9(10). 482–482. 10 indexed citations
8.
9.
Wang, Chin‐Tsan, et al.. (2021). Effect of nanowire conductive transfer on the performance of batch‐microbial fuel cells. International Journal of Energy Research. 46(5). 6919–6928. 2 indexed citations
10.
11.
Saikia, Diganta, Juti Rani Deka, Cheng‐Wei Lin, et al.. (2020). Insight into the Superior Lithium Storage Properties of Ultrafine CoO Nanoparticles Confined in a 3 D Bimodal Ordered Mesoporous Carbon CMK‐9 Anode. ChemSusChem. 13(11). 2952–2965. 30 indexed citations
12.
Wang, Xiaoli, Chau-Chang Chou, Yung‐Chin Yang, et al.. (2020). Tribological and mechanical properties of Cu/Ni-microdiamond bilayers on brass substrates coated by composite electrodeposition technology. Surface Topography Metrology and Properties. 8(2). 24005–24005. 9 indexed citations
13.
Ma, Jugang, Xin Tong, Junmei Wang, et al.. (2018). Rare-earth metal oxide hybridized PtFe nanocrystals synthesized via microfluidic process for enhanced electrochemical catalytic performance. Electrochimica Acta. 299. 80–88. 31 indexed citations
14.
Yan, Wei‐Mon, et al.. (2017). 2D Numerical Physical Model Setting for Three Kinds of Electron Transferring Pathway in Microbial Fuel Cells. Sensors and Materials. 1055–1055. 1 indexed citations
15.
Wang, Chin‐Tsan, et al.. (2017). Exposing effect of comb-type cathode electrode on the performance of sediment microbial fuel cells. Applied Energy. 204. 620–625. 37 indexed citations
16.
17.
Li, Ling, T. Ungár, Yandong Wang, et al.. (2008). Simultaneous reductions of dislocation and twin densities with grain growth during cold rolling in a nanocrystalline Ni–Fe alloy. Scripta Materialia. 60(5). 317–320. 44 indexed citations
18.
Yang, Yung‐Chin. (2007). Influence of residual stress on bonding strength of the plasma-sprayed hydroxyapatite coating after the vacuum heat treatment. Surface and Coatings Technology. 201(16-17). 7187–7193. 50 indexed citations
19.
Lee, Tse‐Min, et al.. (2001). Comparison of plasma-sprayed hydroxyapatite coatings and hydroxyapatite/tricalcium phosphate composite coatings:In vivo study. Journal of Biomedical Materials Research. 55(3). 360–367. 38 indexed citations
20.
Yang, Yung‐Chin. (2000). Biaxial residual stress states of plasma-sprayed hydroxyapatite coatings on titanium alloy substrate. Biomaterials. 21(13). 1327–1337. 90 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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