Tsung-Wen Chang

24 total papers · 837 total citations
19 papers, 722 citations indexed

About

Tsung-Wen Chang is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Tsung-Wen Chang has authored 19 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Atomic and Molecular Physics, and Optics, 13 papers in Electrical and Electronic Engineering and 8 papers in Biomedical Engineering. Recurrent topics in Tsung-Wen Chang's work include Photonic Crystals and Applications (11 papers), Plasmonic and Surface Plasmon Research (5 papers) and Photonic and Optical Devices (5 papers). Tsung-Wen Chang is often cited by papers focused on Photonic Crystals and Applications (11 papers), Plasmonic and Surface Plasmon Research (5 papers) and Photonic and Optical Devices (5 papers). Tsung-Wen Chang collaborates with scholars based in Taiwan, Canada and United States. Tsung-Wen Chang's co-authors include Edward H. Sargent, Gregory D. Scholes, L. Bakueva, Marian Tzolov, Margaret A. Hines, S. F. Musikhin, Chien-Jang Wu, Chao-Wei Wu, Vlad Sukhovatkin and Lionel C. Kimerling and has published in prestigious journals such as Applied Physics Letters, Applied Physics A and IEEE Communications Letters.

In The Last Decade

Tsung-Wen Chang

19 papers receiving 700 citations

Author Peers

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

Author						Papers	Cites
Tsung-Wen Chang	536	417	284	211	104	19	722
L. El Melhaoui	564 1.1×	187 0.4×	364 1.3×	158 0.7×	67 0.6×	19	730
Philippe Lyan	704 1.3×	156 0.4×	401 1.4×	153 0.7×	71 0.7×	31	891
А. М. Капитонов	473 0.9×	349 0.8×	519 1.8×	236 1.1×	68 0.7×	27	764
Cécile Jamois	455 0.8×	235 0.6×	470 1.7×	335 1.6×	196 1.9×	39	806
Martin Salt	467 0.9×	172 0.4×	348 1.2×	379 1.8×	132 1.3×	35	814
O. Nalamasu	703 1.3×	103 0.2×	441 1.6×	314 1.5×	77 0.7×	26	901
Y. Kawagishi	505 0.9×	101 0.2×	627 2.2×	148 0.7×	184 1.8×	18	694
Xiao-wen Lin	367 0.7×	103 0.2×	407 1.4×	160 0.8×	469 4.5×	19	774
Zhanxu Chen	211 0.4×	139 0.3×	321 1.1×	201 1.0×	109 1.0×	29	637
Eiki Adachi	442 0.8×	303 0.7×	129 0.5×	229 1.1×	83 0.8×	26	687

Countries citing papers authored by Tsung-Wen Chang

Since Specialization

Citations

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

Fields of papers citing papers by Tsung-Wen Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tsung-Wen Chang

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