Jiadong Guo

23 total papers · 543 total citations
13 papers, 337 citations indexed

About

Jiadong Guo is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Automotive Engineering. According to data from OpenAlex, Jiadong Guo has authored 13 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Automotive Engineering. Recurrent topics in Jiadong Guo's work include Advanced DC-DC Converters (5 papers), Multilevel Inverters and Converters (5 papers) and Silicon Carbide Semiconductor Technologies (3 papers). Jiadong Guo is often cited by papers focused on Advanced DC-DC Converters (5 papers), Multilevel Inverters and Converters (5 papers) and Silicon Carbide Semiconductor Technologies (3 papers). Jiadong Guo collaborates with scholars based in China, United States and Hong Kong. Jiadong Guo's co-authors include Paulo Borges, Abel Gawel, Qianggang Ding, Hao Sun, Sifan Wu, Jian Guo, Dushan Boroyevich, Ivan Čelanović, Xiaohong Wang and Stephen H. Edwards and has published in prestigious journals such as IEEE Robotics and Automation Letters, Journal of Computer Science and Technology and Frontiers of Information Technology & Electronic Engineering.

In The Last Decade

Jiadong Guo

13 papers receiving 310 citations

Author Peers

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

Author Last Decade Papers Cites
Jiadong Guo 142 101 100 86 43 13 337
Mohamed Chaouch 161 1.1× 27 0.3× 28 0.3× 96 1.1× 61 1.4× 14 325
Haiyong Jiang 143 1.0× 9 0.1× 39 0.4× 124 1.4× 45 1.0× 22 391
Hongsheng Yu 53 0.4× 14 0.1× 112 1.1× 126 1.5× 152 3.5× 14 391
Carlos Nieto-Granda 56 0.4× 12 0.1× 242 2.4× 214 2.5× 53 1.2× 22 389
Vassilios Petridis 29 0.2× 26 0.3× 27 0.3× 77 0.9× 175 4.1× 17 305
Furao Shen 100 0.7× 139 1.4× 14 0.1× 52 0.6× 140 3.3× 21 353
Nevena Lazic 32 0.2× 82 0.8× 15 0.1× 84 1.0× 255 5.9× 15 398
Xiaoyu Zhou 72 0.5× 18 0.2× 94 0.9× 21 0.2× 213 5.0× 23 338
Pradip M. Jawandhiya 78 0.5× 6 0.1× 162 1.6× 48 0.6× 48 1.1× 10 381
Yun Wang 246 1.7× 57 0.6× 53 0.5× 18 0.2× 101 2.3× 16 342

Countries citing papers authored by Jiadong Guo

Since Specialization
Citations

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

Fields of papers citing papers by Jiadong Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiadong Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Jiadong Guo. A scholar is included among the top collaborators of Jiadong Guo 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 Jiadong Guo. Jiadong Guo 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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