Chienliu Chang

35 total papers · 823 total citations
27 papers, 665 citations indexed

About

Chienliu Chang is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Chienliu Chang has authored 27 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Electrical and Electronic Engineering, 18 papers in Biomedical Engineering and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Chienliu Chang's work include Ultrasound Imaging and Elastography (13 papers), Advanced MEMS and NEMS Technologies (7 papers) and Wireless Power Transfer Systems (7 papers). Chienliu Chang is often cited by papers focused on Ultrasound Imaging and Elastography (13 papers), Advanced MEMS and NEMS Technologies (7 papers) and Wireless Power Transfer Systems (7 papers). Chienliu Chang collaborates with scholars based in United States, Taiwan and Japan. Chienliu Chang's co-authors include Pei‐Zen Chang, Ming‐Yuan Cheng, Kuang–Chao Fan, Wen‐Pin Shih, Masayoshi Esashi, B.T. Khuri-Yakub, Ching‐Liang Dai, Amin Nikoozadeh, Chih-Kung Lee and Yusuke Kawai and has published in prestigious journals such as The Journal of the Acoustical Society of America, Sensors and Sensors and Actuators A Physical.

In The Last Decade

Chienliu Chang

27 papers receiving 647 citations

Author Peers

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

Author						Papers	Cites
Chienliu Chang	453	377	110	94	86	27	665
Norman C. Tien	437 1.0×	495 1.3×	63 0.6×	100 1.1×	32 0.4×	49	761
Liang Lou	534 1.2×	481 1.3×	57 0.5×	212 2.3×	138 1.6×	71	788
Emile Martincic	441 1.0×	450 1.2×	34 0.3×	132 1.4×	30 0.3×	63	696
Mitsutoshi Makihata	548 1.2×	164 0.4×	89 0.8×	20 0.2×	53 0.6×	20	695
Chi Tat Chiu	492 1.1×	96 0.3×	151 1.4×	49 0.5×	115 1.3×	20	660
Lawrence Yu	464 1.0×	342 0.9×	19 0.2×	93 1.0×	57 0.7×	14	656
D. Vogel	241 0.5×	425 1.1×	26 0.2×	71 0.8×	177 2.1×	41	671
Ylva Bäcklund	317 0.7×	538 1.4×	43 0.4×	146 1.6×	35 0.4×	46	756
Margeaux Wallace	354 0.8×	156 0.4×	101 0.9×	48 0.5×	153 1.8×	20	637
Paul Moses	565 1.2×	278 0.7×	25 0.2×	62 0.7×	108 1.3×	31	787

Countries citing papers authored by Chienliu Chang

Since Specialization

Citations

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

Fields of papers citing papers by Chienliu Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chienliu Chang

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