Don‐Gey Liu

65 total papers · 513 total citations
50 papers, 353 citations indexed

About

Don‐Gey Liu is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Don‐Gey Liu has authored 50 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Electrical and Electronic Engineering, 14 papers in Biomedical Engineering and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Don‐Gey Liu's work include Analog and Mixed-Signal Circuit Design (8 papers), Advancements in Semiconductor Devices and Circuit Design (7 papers) and Liquid Crystal Research Advancements (6 papers). Don‐Gey Liu is often cited by papers focused on Analog and Mixed-Signal Circuit Design (8 papers), Advancements in Semiconductor Devices and Circuit Design (7 papers) and Liquid Crystal Research Advancements (6 papers). Don‐Gey Liu collaborates with scholars based in Taiwan, Vietnam and China. Don‐Gey Liu's co-authors include Ching-Hwa Cheng, Thanh-Tuan Nguyen, Juin J. Liou, Zhixin Wang, Wen Yang, Chih‐Yuan Cheng, Ching-Sung Lee, Wei‐Lung Tsai, Yucheng Feng and Chih‐Yuan Chang and has published in prestigious journals such as IEEE Access, IEEE Transactions on Electron Devices and Japanese Journal of Applied Physics.

In The Last Decade

Don‐Gey Liu

45 papers receiving 333 citations

Author Peers

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

Author						Papers	Cites
Don‐Gey Liu	157	89	82	60	52	50	353
Yi He	68 0.4×	76 0.9×	63 0.8×	38 0.6×	43 0.8×	43	325
Xu Zheng	144 0.9×	85 1.0×	77 0.9×	51 0.8×	33 0.6×	28	353
P. Ramana Reddy	108 0.7×	48 0.5×	64 0.8×	63 1.1×	34 0.7×	55	316
Jiawei Xu	170 1.1×	53 0.6×	74 0.9×	83 1.4×	28 0.5×	38	393
Zelin Shi	91 0.6×	121 1.4×	114 1.4×	19 0.3×	19 0.4×	68	321
S. Sivaramakrishnan	162 1.0×	104 1.2×	53 0.6×	41 0.7×	14 0.3×	36	329
Chunman Yan	124 0.8×	152 1.7×	83 1.0×	30 0.5×	33 0.6×	47	354
Clarence Augustine TH Tee	127 0.8×	75 0.8×	13 0.2×	36 0.6×	40 0.8×	36	322
Jan Mikulka	154 1.0×	50 0.6×	40 0.5×	18 0.3×	42 0.8×	48	303
Gokul Krishnan	46 0.3×	70 0.8×	77 0.9×	111 1.9×	15 0.3×	46	372

Countries citing papers authored by Don‐Gey Liu

Since Specialization

Citations

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

Fields of papers citing papers by Don‐Gey Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Don‐Gey Liu. 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 Don‐Gey Liu. The network helps show where Don‐Gey Liu may publish in the future.

Co-authorship network of co-authors of Don‐Gey Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Don‐Gey Liu. A scholar is included among the top collaborators of Don‐Gey Liu 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 Don‐Gey Liu. Don‐Gey Liu 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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