Kevin Siu

544 citations
10 papers · 356 indexed · h-index 8
Topics
Advanced Neural Network Applications (9 papers)Adversarial Robustness in Machine Learning (6 papers)Advanced Memory and Neural Computing (3 papers)
Journals
IEEE MicroProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
Partner nations
CanadaUnited Kingdom

In The Last Decade

Kevin Siu

10 papers receiving 349 citations

Peers

Kevin Siu
Comparison fields: 5 of 34
  • Computer Vision and Pattern Recognition 251
  • Electrical and Electronic Engineering 191
  • Artificial Intelligence 142
  • Hardware and Architecture 67
  • Computer Networks and Communications 31
Replace Alberto Delmás Lascorz with:
Alberto Delmás Lascorz Canada
Sayeh Sharify Canada
Huiying Lan China
Manoj Alwani India
Philipp Gysel United States
Jiecao Yu United States
Gwangtae Park South Korea
Zheng Qu United States
David J. Palframan United States
Kevin Siu relative to Alberto Delmás Lascorz Canada Alberto Delmás Lascorz's profile →
Citations per field
00.5×1.5×
Alberto Delmás Lascorz · 1×
Citations per year

Countries citing papers authored by Kevin Siu

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Siu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Siu

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 68
2 21
3 52
4 1
5 67
6 44
7 2
8 47
9 41
10 13

About Kevin Siu

Kevin Siu is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture and Artificial Intelligence, having authored 10 papers that have together received 356 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (9 papers), Adversarial Robustness in Machine Learning (6 papers) and Advanced Memory and Neural Computing (3 papers). The work is most often cited by research in Computational Mathematics (13 citations), Computer Vision and Pattern Recognition (251 citations) and Hardware and Architecture (67 citations). Kevin Siu has collaborated with scholars based in Canada and United Kingdom. Frequent co-authors include Andreas Moshovos, Mostafa Mahmoud, Alberto Delmás Lascorz, Sayeh Sharify, Patrick Judd, Zissis Poulos, M. Stella Atkins, Benjamin King Hong Law, Jorge Albericio and Tayler Hetherington. Their work appears in journals such as IEEE Micro and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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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