Rupert Young

3.1k citations
180 papers · 2.3k · h-index 22

Impact in

Papers in

Rupert Young

165 papers receiving 2.2k citations

Peers

Rupert Young
Comparison fields: 5 of 141
  • Media Technology 283
  • Radiology, Nuclear Medicine and Imaging 641
  • Computer Vision and Pattern Recognition 403
  • Hepatology 72
  • Signal Processing 102
Replace Chris Chatwin with:
Chris Chatwin United Kingdom
Yi Zheng United States
Yongjie Li China
Lu Fang China
Hong Song China
Lin Gu Japan
Shuai Wang China
Chao Li China
David J. Foran United States
Rupert Young relative to Chris Chatwin United Kingdom Chris Chatwin's profile →
Citations per field
00.5×1.5×2.2×
Chris Chatwin · 1×
Citations per year

Countries citing papers authored by Rupert Young

Since Specialization
Citations

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

Fields of papers citing papers by Rupert Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rupert Young, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rupert Young Line = papers co-authored together Rupert Young links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 180 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010272
2 2009212
3 2008108
4
AUTOMATIC PLANT PEST DETECTION AND RECOGNITION USING k-MEANS CLUSTERING ALGORITHM AND CORRESPONDENCE FILTERS
201395
5 201571
6 200767
7 200766
8 201062
9 200757
10 201755
11 200747
12 200046
13 199835
14 200033
15 199931
16 201027
17 201327
18 200926
19 200026
20 202026

About Rupert Young

Rupert Young is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Aerospace Engineering, having authored 180 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Optical Imaging Technologies (35 papers), Infrared Target Detection Methodologies (22 papers), Video Surveillance and Tracking Methods (19 papers), Photorefractive and Nonlinear Optics (18 papers), Photonic and Optical Devices (16 papers), Advanced Vision and Imaging (12 papers), Optical Polarization and Ellipsometry (10 papers) and Optical Wireless Communication Technologies (10 papers). The work is most often cited by research in Media Technology (283 citations), Radiology, Nuclear Medicine and Imaging (641 citations), Computer Vision and Pattern Recognition (403 citations), Hepatology (72 citations) and Signal Processing (102 citations). Rupert Young has collaborated with scholars based in United Kingdom, Pakistan and United States. Frequent co-authors include Chris Chatwin, Balaji Ganeshan, Kenneth A. Miles, Philip Birch, Christopher R. Chatwin, Matthew R. Griffiths, David Budgett, Saad Rehman, Maria Farsari and Bilal Khan. Their work appears in journals such as Optics and Lasers in Engineering, Journal of the Optical Society of America A, Optics Letters, Optics Communications and IEEE Access.

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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