Yu-Tai Chang

34 total papers · 665 total citations
23 papers, 507 citations indexed

About

Yu-Tai Chang is a scholar working on Signal Processing, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Yu-Tai Chang has authored 23 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Signal Processing, 5 papers in Molecular Biology and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Yu-Tai Chang's work include Digital Filter Design and Implementation (8 papers), Image and Signal Denoising Methods (4 papers) and Advanced Manufacturing and Logistics Optimization (3 papers). Yu-Tai Chang is often cited by papers focused on Digital Filter Design and Implementation (8 papers), Image and Signal Denoising Methods (4 papers) and Advanced Manufacturing and Logistics Optimization (3 papers). Yu-Tai Chang collaborates with scholars based in United States, Taiwan and China. Yu-Tai Chang's co-authors include Uttarayan Bagchi, Chin-Liang Wang, Robert S. Sullivan, Asoo J. Vakharia, James R. Wilson, Daniel A. Starr, William Matsui, Shaun Murphy, Er-Chieh Cho and Ming-Jer Young and has published in prestigious journals such as Development, Cell Metabolism and Journal of Virology.

In The Last Decade

Yu-Tai Chang

19 papers receiving 479 citations

Author Peers

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

Author						Papers	Cites
Yu-Tai Chang	206	108	100	78	55	23	507
Pedro Ramos	37 0.2×	73 0.7×	79 0.8×	29 0.4×	124 2.3×	60	587
Luyang Liu	73 0.4×	45 0.4×	15 0.1×	93 1.2×	56 1.0×	44	505
Hsi-Chieh Lee	21 0.1×	37 0.3×	15 0.1×	86 1.1×	48 0.9×	36	560
Sourav Dutta	18 0.1×	55 0.5×	28 0.3×	134 1.7×	63 1.1×	46	534
Lin Teng	13 0.1×	88 0.8×	31 0.3×	68 0.9×	121 2.2×	45	455
Jun Shu	22 0.1×	93 0.9×	17 0.2×	74 0.9×	103 1.9×	35	530
Hao Fang	22 0.1×	160 1.5×	17 0.2×	38 0.5×	82 1.5×	51	521
Satish Chandra	9 0.0×	67 0.6×	51 0.5×	76 1.0×	93 1.7×	45	542
Chandrabose Aravindan	18 0.1×	24 0.2×	20 0.2×	24 0.3×	66 1.2×	57	468
Cheng‐Hsiung Lee	217 1.1×	27 0.3×	10 0.1×	35 0.4×	154 2.8×	33	582

Countries citing papers authored by Yu-Tai Chang

Since Specialization

Citations

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

Fields of papers citing papers by Yu-Tai Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu-Tai Chang

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