Yung-Hang Chang

668 total citations
8 papers, 536 citations indexed

About

Yung-Hang Chang is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Surgery. According to data from OpenAlex, Yung-Hang Chang has authored 8 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Electrical and Electronic Engineering, 3 papers in Biomedical Engineering and 2 papers in Surgery. Recurrent topics in Yung-Hang Chang's work include Nanomaterials and Printing Technologies (3 papers), Anatomy and Medical Technology (2 papers) and Additive Manufacturing and 3D Printing Technologies (2 papers). Yung-Hang Chang is often cited by papers focused on Nanomaterials and Printing Technologies (3 papers), Anatomy and Medical Technology (2 papers) and Additive Manufacturing and 3D Printing Technologies (2 papers). Yung-Hang Chang collaborates with scholars based in United States, Taiwan and China. Yung-Hang Chang's co-authors include Chuck Zhang, Kan Wang, Ben Wang, Yi‐Wen Chen, Zhen Qian, Ben Wang, John Papapolymerou, Mani A. Vannan, Ben Wang and Changsheng Wu and has published in prestigious journals such as Journal of the American College of Cardiology, Carbon and IEEE Transactions on Microwave Theory and Techniques.

In The Last Decade

Yung-Hang Chang

8 papers receiving 523 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-Hang Chang United States 6 208 178 127 125 73 8 536
Azadeh Sheidaei United States 15 166 0.8× 146 0.8× 163 1.3× 167 1.3× 36 0.5× 26 669
Manuel Lagache France 12 126 0.6× 220 1.2× 52 0.4× 84 0.7× 10 0.1× 31 540
Amir Ali Amiri Moghadam United States 12 208 1.0× 559 3.1× 91 0.7× 37 0.3× 19 0.3× 59 704
Frederick M. Heim United States 12 210 1.0× 69 0.4× 132 1.0× 114 0.9× 22 0.3× 17 508
Assimina A. Pelegri United States 15 282 1.4× 271 1.5× 32 0.3× 65 0.5× 21 0.3× 84 1.1k
Chen Pan China 10 411 2.0× 186 1.0× 225 1.8× 28 0.2× 6 0.1× 18 659
Beomkeun Kim South Korea 7 215 1.0× 193 1.1× 99 0.8× 91 0.7× 4 0.1× 18 541
Peng Shi China 9 127 0.6× 190 1.1× 91 0.7× 187 1.5× 9 0.1× 27 491
Xu Ma China 12 199 1.0× 387 2.2× 17 0.1× 86 0.7× 21 0.3× 54 778
Michael Okereke United Kingdom 14 188 0.9× 115 0.6× 68 0.5× 122 1.0× 3 0.0× 42 633

Countries citing papers authored by Yung-Hang Chang

Since Specialization
Citations

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

Fields of papers citing papers by Yung-Hang Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yung-Hang Chang

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

All Works

8 of 8 papers shown
1.
Qian, Zhen, Kan Wang, Shizhen Liu, et al.. (2017). Quantitative Prediction of Paravalvular Leak in Transcatheter Aortic Valve Replacement Based on Tissue-Mimicking 3D Printing. JACC. Cardiovascular imaging. 10(7). 719–731. 94 indexed citations
2.
Qian, Zhen, Kan Wang, Yung-Hang Chang, et al.. (2016). 3-D PRINTING OF BIOLOGICAL TISSUE-MIMICKING AORTIC ROOT USING A NOVEL META-MATERIAL TECHNIQUE: POTENTIAL CLINICAL APPLICATIONS. Journal of the American College of Cardiology. 67(13). 7–7. 2 indexed citations
3.
Chang, Yung-Hang, et al.. (2016). Low-Loss 3-D Multilayer Transmission Lines and Interconnects Fabricated by Additive Manufacturing Technologies. IEEE Transactions on Microwave Theory and Techniques. 64(10). 3208–3216. 91 indexed citations
4.
Chang, Yung-Hang, Kan Wang, Changsheng Wu, et al.. (2015). A facile method for integrating direct-write devices into three-dimensional printed parts. Smart Materials and Structures. 24(6). 65008–65008. 26 indexed citations
5.
Wang, Kan, Yung-Hang Chang, Chuck Zhang, & Ben Wang. (2015). Conductive-on-demand: Tailorable polyimide/carbon nanotube nanocomposite thin film by dual-material aerosol jet printing. Carbon. 98. 397–403. 50 indexed citations
6.
Wang, Kan, Yung-Hang Chang, Zhen Qian, et al.. (2015). Controlling the mechanical behavior of dual-material 3D printed meta-materials for patient-specific tissue-mimicking phantoms. Materials & Design. 90. 704–712. 57 indexed citations
7.
Wang, Kan, Yung-Hang Chang, Yi‐Wen Chen, Chuck Zhang, & Ben Wang. (2014). Designable dual-material auxetic metamaterials using three-dimensional printing. Materials & Design (1980-2015). 67. 159–164. 213 indexed citations
8.
Lim, Kwang Suk, Daniel Guidotti, V. Sundaram, et al.. (2004). System-on-a-package (SOP) module development for a digital, RF and optical mixed signal integrated system. 1693–1697. 3 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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