Jinyuan Wu

80 total papers · 879 total citations
33 papers, 679 citations indexed

About

Jinyuan Wu is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Nuclear and High Energy Physics. According to data from OpenAlex, Jinyuan Wu has authored 33 papers receiving a total of 679 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Electrical and Electronic Engineering, 12 papers in Biomedical Engineering and 6 papers in Nuclear and High Energy Physics. Recurrent topics in Jinyuan Wu's work include Advancements in PLL and VCO Technologies (14 papers), Analog and Mixed-Signal Circuit Design (9 papers) and Particle Detector Development and Performance (6 papers). Jinyuan Wu is often cited by papers focused on Advancements in PLL and VCO Technologies (14 papers), Analog and Mixed-Signal Circuit Design (9 papers) and Particle Detector Development and Performance (6 papers). Jinyuan Wu collaborates with scholars based in United States and China. Jinyuan Wu's co-authors include Qiyu Peng, W.W. Moses, Woon‐Seng Choong, Steve Buckley, Carl Jackson, Yang Shi, C. Vu, Jingjing Xu, M. Wang and E. Gottschalk and has published in prestigious journals such as IEEE Transactions on Nuclear Science, Journal of Instrumentation and PubMed.

In The Last Decade

Jinyuan Wu

27 papers receiving 665 citations

Author Peers

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

Author Last Decade Papers Cites
Jinyuan Wu 516 309 105 94 86 33 679
J. Christiansen 443 0.9× 231 0.7× 110 1.0× 197 2.1× 86 1.0× 32 576
J.M. Rochelle 420 0.8× 264 0.9× 143 1.4× 69 0.7× 29 0.3× 33 621
D. Marano 517 1.0× 416 1.3× 230 2.2× 140 1.5× 30 0.3× 52 771
S.E. Kerns 686 1.3× 77 0.2× 30 0.3× 21 0.2× 184 2.1× 59 773
A. Hoffmann 602 1.2× 110 0.4× 24 0.2× 42 0.4× 8 0.1× 50 748
U. Prechtel 501 1.0× 207 0.7× 162 1.5× 207 2.2× 4 0.0× 53 704
R. Mita 541 1.0× 345 1.1× 23 0.2× 3 0.0× 71 0.8× 40 653
F. Borghetti 410 0.8× 184 0.6× 53 0.5× 36 0.4× 2 0.0× 41 669
S. McClure 669 1.3× 33 0.1× 46 0.4× 15 0.2× 82 1.0× 40 757
Richard Dudley 574 1.1× 111 0.4× 33 0.3× 5 0.1× 135 1.6× 56 762

Countries citing papers authored by Jinyuan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jinyuan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinyuan Wu

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