Guo-Dong Su

11 total papers · 406 total citations
8 papers, 363 citations indexed

About

Guo-Dong Su is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Polymers and Plastics. According to data from OpenAlex, Guo-Dong Su has authored 8 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Electrical and Electronic Engineering, 4 papers in Materials Chemistry and 2 papers in Polymers and Plastics. Recurrent topics in Guo-Dong Su's work include Perovskite Materials and Applications (5 papers), 2D Materials and Applications (2 papers) and Quantum Dots Synthesis And Properties (2 papers). Guo-Dong Su is often cited by papers focused on Perovskite Materials and Applications (5 papers), 2D Materials and Applications (2 papers) and Quantum Dots Synthesis And Properties (2 papers). Guo-Dong Su collaborates with scholars based in China, Taiwan and United States. Guo-Dong Su's co-authors include Qilei Song, Xian‐He Bu, Tian‐Meng Guo, Chongyun Jiang, Fei‐Fei Gao, Yan Qin, Wei Li, Yuanyuan Zhao, Haiyan Chen and Qunwei Tang and has published in prestigious journals such as ACS Nano, Electrochimica Acta and Advanced Science.

In The Last Decade

Guo-Dong Su

8 papers receiving 352 citations

Author Peers

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

Author Last Decade Papers Cites
Guo-Dong Su 261 244 67 59 58 8 363
Fabian Gyger 230 0.9× 243 1.0× 58 0.9× 97 1.6× 22 0.4× 11 376
R. T. Dolloff 147 0.6× 255 1.0× 23 0.3× 43 0.7× 27 0.5× 6 305
Steven DelaCruz 228 0.9× 185 0.8× 64 1.0× 30 0.5× 34 0.6× 12 370
Chuanshuai Li 186 0.7× 254 1.0× 17 0.3× 40 0.7× 64 1.1× 8 364
Christoph Willa 206 0.8× 150 0.6× 59 0.9× 112 1.9× 32 0.6× 10 344
Hélène Bordeneuve 244 0.9× 281 1.2× 32 0.5× 21 0.4× 15 0.3× 7 355
Shu Yi 279 1.1× 124 0.5× 41 0.6× 184 3.1× 18 0.3× 9 363
Guillaume Fleury 119 0.5× 220 0.9× 18 0.3× 24 0.4× 158 2.7× 13 317
Hsiang‐Ting Lien 145 0.6× 216 0.9× 31 0.5× 28 0.5× 12 0.2× 11 372
Amir Taghavi Nasrabadi 93 0.4× 196 0.8× 74 1.1× 108 1.8× 24 0.4× 12 349

Countries citing papers authored by Guo-Dong Su

Since Specialization
Citations

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

Fields of papers citing papers by Guo-Dong Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guo-Dong Su. 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 Guo-Dong Su. The network helps show where Guo-Dong Su may publish in the future.

Co-authorship network of co-authors of Guo-Dong Su

This figure shows the co-authorship network connecting the top 25 collaborators of Guo-Dong Su. A scholar is included among the top collaborators of Guo-Dong Su 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 Guo-Dong Su. Guo-Dong Su is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026