Chang-Pin Chang

27 total papers · 639 total citations
25 papers, 530 citations indexed

About

Chang-Pin Chang is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Polymers and Plastics. According to data from OpenAlex, Chang-Pin Chang has authored 25 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 13 papers in Biomedical Engineering and 7 papers in Polymers and Plastics. Recurrent topics in Chang-Pin Chang's work include Nanomaterials and Printing Technologies (13 papers), Nanofabrication and Lithography Techniques (8 papers) and Advanced Sensor and Energy Harvesting Materials (8 papers). Chang-Pin Chang is often cited by papers focused on Nanomaterials and Printing Technologies (13 papers), Nanofabrication and Lithography Techniques (8 papers) and Advanced Sensor and Energy Harvesting Materials (8 papers). Chang-Pin Chang collaborates with scholars based in Taiwan and United States. Chang-Pin Chang's co-authors include Ming-Der Ger, Wen-Hwa Hwu, Hung-Wen Lin, Yuh Sung, Yih-Ming Liu, Chun‐Chieh Tseng, Yi-Shin Chen, Meng-Jey Youh, Nen‐Wen Pu and Yu‐Liang Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Materials Science and Applied Surface Science.

In The Last Decade

Chang-Pin Chang

24 papers receiving 508 citations

Author Peers

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

Author Last Decade Papers Cites
Chang-Pin Chang 298 254 141 115 60 25 530
Hong Hong 264 0.9× 218 0.9× 145 1.0× 126 1.1× 84 1.4× 28 548
Ye Zar Ni Htwe 272 0.9× 315 1.2× 211 1.5× 118 1.0× 74 1.2× 27 538
V. Lambertini 218 0.7× 243 1.0× 117 0.8× 194 1.7× 40 0.7× 32 563
Xiaolan Liu 210 0.7× 219 0.9× 98 0.7× 128 1.1× 83 1.4× 31 550
Yanhong Tian 362 1.2× 175 0.7× 103 0.7× 97 0.8× 71 1.2× 32 515
Fanghua Liang 248 0.8× 231 0.9× 126 0.9× 63 0.5× 102 1.7× 21 607
Jihyuk Yang 240 0.8× 191 0.8× 200 1.4× 66 0.6× 62 1.0× 29 491
Fevzihan Başarír 339 1.1× 335 1.3× 187 1.3× 163 1.4× 57 0.9× 34 617
Imran Syakir Mohamad 251 0.8× 263 1.0× 253 1.8× 111 1.0× 51 0.8× 21 579
Margaret Joyce 248 0.8× 277 1.1× 58 0.4× 140 1.2× 53 0.9× 24 520

Countries citing papers authored by Chang-Pin Chang

Since Specialization
Citations

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

Fields of papers citing papers by Chang-Pin Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang-Pin Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Chang-Pin Chang. A scholar is included among the top collaborators of Chang-Pin 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 Chang-Pin Chang. Chang-Pin 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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