Wei-Chih Chien

78 total papers · 1.1k total citations
67 papers, 858 citations indexed

About

Wei-Chih Chien is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Polymers and Plastics. According to data from OpenAlex, Wei-Chih Chien has authored 67 papers receiving a total of 858 indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Electrical and Electronic Engineering, 32 papers in Materials Chemistry and 19 papers in Polymers and Plastics. Recurrent topics in Wei-Chih Chien's work include Advanced Memory and Neural Computing (44 papers), Phase-change materials and chalcogenides (24 papers) and Transition Metal Oxide Nanomaterials (19 papers). Wei-Chih Chien is often cited by papers focused on Advanced Memory and Neural Computing (44 papers), Phase-change materials and chalcogenides (24 papers) and Transition Metal Oxide Nanomaterials (19 papers). Wei-Chih Chien collaborates with scholars based in Taiwan, United States and China. Wei-Chih Chien's co-authors include Erh-Kun Lai, Huai‐Yu Cheng, M. BrightSky, Fabio Carta, Hsiang-Lan Lung, C. W. Yeh, K. Y. Hsieh, H.L. Lung, Yu‐Yu Lin and Robert L. Bruce and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Scientific Reports.

In The Last Decade

Wei-Chih Chien

63 papers receiving 819 citations

Author Peers

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

Author Last Decade Papers Cites
Wei-Chih Chien 778 356 232 85 69 67 858
Damien Deleruyelle 781 1.0× 238 0.7× 136 0.6× 155 1.8× 55 0.8× 66 832
M.‐J. Tsai 962 1.2× 306 0.9× 131 0.6× 116 1.4× 57 0.8× 43 1000
Chikako Yoshida 647 0.8× 243 0.7× 168 0.7× 99 1.2× 227 3.3× 45 784
G. Navarro 756 1.0× 669 1.9× 192 0.8× 53 0.6× 61 0.9× 80 853
Romain Delhougne 923 1.2× 469 1.3× 97 0.4× 26 0.3× 86 1.2× 87 984
Hideyuki Noshiro 813 1.0× 232 0.7× 264 1.1× 150 1.8× 83 1.2× 31 862
M. Bocquet 807 1.0× 181 0.5× 95 0.4× 145 1.7× 48 0.7× 65 850
N. Castellani 683 0.9× 263 0.7× 94 0.4× 98 1.2× 26 0.4× 57 728
Daniele Garbin 960 1.2× 513 1.4× 169 0.7× 209 2.5× 70 1.0× 59 1.0k
Dinesh Kumar Venkatachalam 568 0.7× 243 0.7× 136 0.6× 101 1.2× 23 0.3× 66 734

Countries citing papers authored by Wei-Chih Chien

Since Specialization
Citations

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

Fields of papers citing papers by Wei-Chih Chien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei-Chih Chien. 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 Wei-Chih Chien. The network helps show where Wei-Chih Chien may publish in the future.

Co-authorship network of co-authors of Wei-Chih Chien

This figure shows the co-authorship network connecting the top 25 collaborators of Wei-Chih Chien. A scholar is included among the top collaborators of Wei-Chih Chien 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 Wei-Chih Chien. Wei-Chih Chien 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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