Hongwu Peng

83 total papers · 1.0k total citations
47 papers, 730 citations indexed

About

Hongwu Peng is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hongwu Peng has authored 47 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Electrical and Electronic Engineering, 15 papers in Artificial Intelligence and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hongwu Peng's work include Silicon Carbide Semiconductor Technologies (18 papers), Electromagnetic Compatibility and Noise Suppression (14 papers) and Multilevel Inverters and Converters (11 papers). Hongwu Peng is often cited by papers focused on Silicon Carbide Semiconductor Technologies (18 papers), Electromagnetic Compatibility and Noise Suppression (14 papers) and Multilevel Inverters and Converters (11 papers). Hongwu Peng collaborates with scholars based in United States, China and Mexico. Hongwu Peng's co-authors include Fang Luo, Zhao Yuan, Asif Imran Emon, Balaji Narayanasamy, Caiwen Ding, Amol Deshpande, Tong Geng, Yalin Wang, Weiwen Jiang and Ang Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Power Electronics and IEEE Transactions on Industry Applications.

In The Last Decade

Hongwu Peng

47 papers receiving 723 citations

Author Peers

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

Author Last Decade Papers Cites
Hongwu Peng 529 130 117 110 41 47 730
Jingtao Li 287 0.5× 153 1.2× 58 0.5× 161 1.5× 51 1.2× 56 689
Hai Wang 394 0.7× 154 1.2× 64 0.5× 37 0.3× 49 1.2× 71 688
Gian Domenico Licciardo 545 1.0× 84 0.6× 189 1.6× 24 0.2× 39 1.0× 99 795
Guohe Zhang 438 0.8× 79 0.6× 121 1.0× 95 0.9× 12 0.3× 101 664
Jianlei Yang 551 1.0× 165 1.3× 109 0.9× 40 0.4× 33 0.8× 93 869
Fang Su 386 0.7× 37 0.3× 49 0.4× 75 0.7× 17 0.4× 51 640
José M. Palomares 402 0.8× 49 0.4× 31 0.3× 77 0.7× 17 0.4× 50 826
Krishna Lal Baishnab 358 0.7× 145 1.1× 78 0.7× 51 0.5× 26 0.6× 90 664
Steven R. Young 202 0.4× 397 3.1× 161 1.4× 56 0.5× 19 0.5× 36 735
Ali Ahaitouf 396 0.7× 102 0.8× 97 0.8× 159 1.4× 144 3.5× 104 832

Countries citing papers authored by Hongwu Peng

Since Specialization
Citations

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

Fields of papers citing papers by Hongwu Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongwu Peng

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