Wen-Yang Chang

56 total papers · 593 total citations
39 papers, 502 citations indexed

About

Wen-Yang Chang is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Wen-Yang Chang has authored 39 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 14 papers in Biomedical Engineering and 10 papers in Mechanical Engineering. Recurrent topics in Wen-Yang Chang's work include Advanced Sensor and Energy Harvesting Materials (8 papers), Advanced machining processes and optimization (7 papers) and Manufacturing Process and Optimization (5 papers). Wen-Yang Chang is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (8 papers), Advanced machining processes and optimization (7 papers) and Manufacturing Process and Optimization (5 papers). Wen-Yang Chang collaborates with scholars based in Taiwan, United States and Argentina. Wen-Yang Chang's co-authors include Te‐Hua Fang, Yu‐Cheng Lin, Yu‐Tang Shen, Liang‐Wen Ji, Yu‐Jen Hsiao, Cheng‐I Weng, Shuyuan Liu, Chung‐Cheng Chen, Cheng‐Han Yang and Jen‐Bin Shi and has published in prestigious journals such as The Journal of Physical Chemistry B, Acta Materialia and Journal of Colloid and Interface Science.

In The Last Decade

Wen-Yang Chang

39 papers receiving 482 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Wen-Yang Chang 256 212 141 117 65 39 502
Zhibin Zhao 247 1.0× 214 1.0× 100 0.7× 183 1.6× 28 0.4× 37 577
Sudip Kundu 276 1.1× 152 0.7× 73 0.5× 120 1.0× 28 0.4× 18 491
Yi Fan Chen 250 1.0× 213 1.0× 188 1.3× 118 1.0× 144 2.2× 31 574
Jae-Seong Kim 188 0.7× 195 0.9× 121 0.9× 91 0.8× 63 1.0× 39 461
Huiyun Zhang 260 1.0× 170 0.8× 62 0.4× 91 0.8× 17 0.3× 39 570
Xinchuan Liu 259 1.0× 183 0.9× 111 0.8× 72 0.6× 36 0.6× 39 524
Suman Timilsina 334 1.3× 165 0.8× 241 1.7× 29 0.2× 63 1.0× 24 556
Zhengang Zhao 244 1.0× 350 1.7× 76 0.5× 102 0.9× 20 0.3× 55 577
Jufan Zhang 220 0.9× 151 0.7× 151 1.1× 131 1.1× 74 1.1× 42 522
C. R. Friedrich 301 1.2× 260 1.2× 62 0.4× 232 2.0× 34 0.5× 27 538

Countries citing papers authored by Wen-Yang Chang

Since Specialization
Citations

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

Fields of papers citing papers by Wen-Yang Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen-Yang Chang

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

All Works

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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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