Kuo‐Chu Hwang

28 total papers · 1.0k total citations
21 papers, 878 citations indexed

About

Kuo‐Chu Hwang is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, Kuo‐Chu Hwang has authored 21 papers receiving a total of 878 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Electrical and Electronic Engineering and 7 papers in Materials Chemistry. Recurrent topics in Kuo‐Chu Hwang's work include Organic Light-Emitting Diodes Research (4 papers), Conducting polymers and applications (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Kuo‐Chu Hwang is often cited by papers focused on Organic Light-Emitting Diodes Research (4 papers), Conducting polymers and applications (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Kuo‐Chu Hwang collaborates with scholars based in Taiwan and United States. Kuo‐Chu Hwang's co-authors include Pi‐Tai Chou, Ja‐an Annie Ho, Arumugasamy Elangovan, Shu-Wen Yang, Tong‐Ing Ho, Lisheng Wang, Ding‐Kwo Chang, Sue‐Lein Wang, G. Jayaraman and Gene‐Hsiang Lee and has published in prestigious journals such as Angewandte Chemie International Edition, Analytical Chemistry and The Journal of Physical Chemistry B.

In The Last Decade

Kuo‐Chu Hwang

21 papers receiving 863 citations

Author Peers

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

Author						Papers	Cites
Kuo‐Chu Hwang	388	353	275	137	136	21	878
Symon Gathiaka	366 0.9×	249 0.7×	308 1.1×	74 0.5×	117 0.9×	20	980
Joshua Salafsky	509 1.3×	164 0.5×	197 0.7×	69 0.5×	137 1.0×	29	1.0k
Hans‐Peter Josel	463 1.2×	225 0.6×	124 0.5×	96 0.7×	258 1.9×	20	763
Yusuke Tanaka	234 0.6×	365 1.0×	241 0.9×	343 2.5×	145 1.1×	52	1.0k
Chiara Marinzi	262 0.7×	335 0.9×	132 0.5×	154 1.1×	77 0.6×	25	836
Philip D. Hampton	260 0.7×	321 0.9×	161 0.6×	304 2.2×	126 0.9×	25	812
Ali Hosseini	255 0.7×	296 0.8×	367 1.3×	214 1.6×	71 0.5×	28	974
Cynthia V. Pagba	510 1.3×	282 0.8×	134 0.5×	172 1.3×	177 1.3×	30	901
Benjamin Breiten	272 0.7×	320 0.9×	299 1.1×	287 2.1×	153 1.1×	23	915
Dominique Lelièvre	462 1.2×	281 0.8×	109 0.4×	268 2.0×	54 0.4×	43	826

Countries citing papers authored by Kuo‐Chu Hwang

Since Specialization

Citations

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

Fields of papers citing papers by Kuo‐Chu Hwang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuo‐Chu Hwang. 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 Kuo‐Chu Hwang. The network helps show where Kuo‐Chu Hwang may publish in the future.

Co-authorship network of co-authors of Kuo‐Chu Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Kuo‐Chu Hwang. A scholar is included among the top collaborators of Kuo‐Chu Hwang 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 Kuo‐Chu Hwang. Kuo‐Chu Hwang 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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