Dah‐Chung Chang

60 total papers · 815 total citations
44 papers, 612 citations indexed

About

Dah‐Chung Chang is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Dah‐Chung Chang has authored 44 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Electrical and Electronic Engineering, 18 papers in Computer Networks and Communications and 14 papers in Signal Processing. Recurrent topics in Dah‐Chung Chang's work include Advanced Wireless Communication Techniques (17 papers), Wireless Communication Networks Research (13 papers) and Blind Source Separation Techniques (8 papers). Dah‐Chung Chang is often cited by papers focused on Advanced Wireless Communication Techniques (17 papers), Wireless Communication Networks Research (13 papers) and Blind Source Separation Techniques (8 papers). Dah‐Chung Chang collaborates with scholars based in Taiwan, United States and Italy. Dah‐Chung Chang's co-authors include Wen-Rong Wu, J.J. Metzner, Alfred O. Hero, Chris Kreucher, Keith Kastella, Yung‐Fang Chen, Yanting Liu, Chiao‐Yun Chang, Y. F. Chen and Yu‐Cheng Chang and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and IEEE Transactions on Medical Imaging.

In The Last Decade

Dah‐Chung Chang

41 papers receiving 573 citations

Author Peers

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

Author						Papers	Cites
Dah‐Chung Chang	189	186	175	113	90	44	612
R.E. Bogner	150 0.8×	153 0.8×	131 0.7×	36 0.3×	283 3.1×	56	658
Jianhong Xiang	71 0.4×	117 0.6×	175 1.0×	97 0.9×	39 0.4×	68	509
Zhiwen Zhu	132 0.7×	201 1.1×	54 0.3×	147 1.3×	76 0.8×	61	629
Farhad Kamangar	172 0.9×	154 0.8×	322 1.8×	75 0.7×	49 0.5×	48	606
Jian Qiu Zhang	85 0.4×	237 1.3×	163 0.9×	35 0.3×	73 0.8×	57	674
Huaji Zhou	290 1.5×	144 0.8×	68 0.4×	150 1.3×	165 1.8×	28	536
Zhiguo Zhang	72 0.4×	94 0.5×	155 0.9×	73 0.6×	142 1.6×	46	562
Shengli Sun	152 0.8×	111 0.6×	92 0.5×	144 1.3×	110 1.2×	43	510
Shan Gao	137 0.7×	58 0.3×	151 0.9×	137 1.2×	69 0.8×	68	526
Yujun Chen	188 1.0×	162 0.9×	72 0.4×	123 1.1×	73 0.8×	57	539

Countries citing papers authored by Dah‐Chung Chang

Since Specialization

Citations

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

Fields of papers citing papers by Dah‐Chung Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dah‐Chung Chang

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