Ding-Yuan Kuo

34 total papers · 1.2k total citations
18 papers, 891 citations indexed

About

Ding-Yuan Kuo is a scholar working on Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering and Electrochemistry. According to data from OpenAlex, Ding-Yuan Kuo has authored 18 papers receiving a total of 891 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Renewable Energy, Sustainability and the Environment, 11 papers in Electrical and Electronic Engineering and 6 papers in Electrochemistry. Recurrent topics in Ding-Yuan Kuo's work include Electrocatalysts for Energy Conversion (13 papers), Advanced battery technologies research (8 papers) and Electrochemical Analysis and Applications (6 papers). Ding-Yuan Kuo is often cited by papers focused on Electrocatalysts for Energy Conversion (13 papers), Advanced battery technologies research (8 papers) and Electrochemical Analysis and Applications (6 papers). Ding-Yuan Kuo collaborates with scholars based in United States, Belgium and Germany. Ding-Yuan Kuo's co-authors include Jin Suntivich, Darrell G. Schlom, Kyle Shen, Geoffroy Hautier, Jan Kloppenburg, Jocienne N. Nelson, Jason K. Kawasaki, Hanjong Paik, Brendan D. Faeth and Brandi M. Cossairt and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Ding-Yuan Kuo

17 papers receiving 882 citations

Author Peers

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

Author						Papers	Cites
Ding-Yuan Kuo	751	596	303	252	61	18	891
Wipula Priya Rasika Liyanage	808 1.1×	801 1.3×	270 0.9×	225 0.9×	53 0.9×	25	1.0k
Mengting Zhao	785 1.0×	647 1.1×	326 1.1×	200 0.8×	73 1.2×	21	1.0k
Sihua Feng	580 0.8×	424 0.7×	253 0.8×	121 0.5×	89 1.5×	18	708
Qiang Sun	818 1.1×	654 1.1×	283 0.9×	134 0.5×	73 1.2×	10	945
Éric Sibert	604 0.8×	562 0.9×	310 1.0×	305 1.2×	90 1.5×	31	864
Minghui Ning	853 1.1×	716 1.2×	279 0.9×	120 0.5×	58 1.0×	13	986
Johannes Pfrommer	702 0.9×	451 0.8×	446 1.5×	223 0.9×	59 1.0×	20	912
Chinmoy Ranjan	581 0.8×	463 0.8×	240 0.8×	176 0.7×	58 1.0×	25	729
Cheng-Jun Sun	467 0.6×	741 1.2×	291 1.0×	118 0.5×	50 0.8×	12	940
Jinghui Shi	736 1.0×	559 0.9×	282 0.9×	140 0.6×	56 0.9×	24	868

Countries citing papers authored by Ding-Yuan Kuo

Since Specialization

Citations

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

Fields of papers citing papers by Ding-Yuan Kuo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ding-Yuan Kuo. 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 Ding-Yuan Kuo. The network helps show where Ding-Yuan Kuo may publish in the future.

Co-authorship network of co-authors of Ding-Yuan Kuo

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