Kevin Siu

544 total citations
10 papers, 356 citations indexed

About

Kevin Siu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Kevin Siu has authored 10 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Kevin Siu's work include Advanced Neural Network Applications (9 papers), Adversarial Robustness in Machine Learning (6 papers) and Advanced Memory and Neural Computing (3 papers). Kevin Siu is often cited by papers focused on Advanced Neural Network Applications (9 papers), Adversarial Robustness in Machine Learning (6 papers) and Advanced Memory and Neural Computing (3 papers). Kevin Siu collaborates with scholars based in Canada and United Kingdom. Kevin Siu's co-authors include Andreas Moshovos, Mostafa Mahmoud, Sayeh Sharify, Alberto Delmás Lascorz, Patrick Judd, Zissis Poulos, Benjamin King Hong Law, M. Stella Atkins, Tayler Hetherington and Tor M. Aamodt and has published in prestigious journals such as IEEE Micro and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

In The Last Decade

Kevin Siu

10 papers receiving 349 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Kevin Siu Canada	8	251	191	142	67	31	10	356
Alberto Delmás Lascorz Canada	6	193 0.8×	145 0.8×	118 0.8×	62 0.9×	27 0.9×	12	273
Sayeh Sharify Canada	5	187 0.7×	143 0.7×	116 0.8×	56 0.8×	24 0.8×	10	262
Huiying Lan China	4	332 1.3×	258 1.4×	202 1.4×	116 1.7×	39 1.3×	8	476
Philipp Gysel United States	4	251 1.0×	197 1.0×	123 0.9×	47 0.7×	25 0.8×	5	347
Manoj Alwani India	3	345 1.4×	253 1.3×	139 1.0×	93 1.4×	42 1.4×	7	465
Gwangtae Park South Korea	8	161 0.6×	135 0.7×	78 0.5×	30 0.4×	18 0.6×	29	279
Jiecao Yu United States	6	250 1.0×	163 0.9×	183 1.3×	88 1.3×	52 1.7×	7	365
Igor Đurđanović United States	4	163 0.6×	144 0.8×	104 0.7×	58 0.9×	12 0.4×	5	262
Zheng Qu United States	9	120 0.5×	114 0.6×	137 1.0×	65 1.0×	59 1.9×	17	294

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

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10 of 10 papers shown

1.

Lascorz, Alberto Delmás, Patrick Judd, Zissis Poulos, et al.. (2019). Bit-Tactical. 749–763. 68 indexed citations

2.

Lascorz, Alberto Delmás, Sayeh Sharify, Patrick Judd, et al.. (2019). ShapeShifter. 28–41. 21 indexed citations

3.

Sharify, Sayeh, Alberto Delmás Lascorz, Mostafa Mahmoud, et al.. (2019). Laconic deep learning inference acceleration. 304–317. 52 indexed citations

4.

Mahmoud, Mostafa, Zissis Poulos, Alberto Delmás Lascorz, et al.. (2019). Accelerating Image-Sensor-Based Deep Learning Applications. IEEE Micro. 39(5). 26–35. 1 indexed citations

5.

Sharify, Sayeh, Alberto Delmás Lascorz, Kevin Siu, Patrick Judd, & Andreas Moshovos. (2018). Loom: Exploiting Weight and Activation Precisions to Accelerate Convolutional Neural Networks. 1–6. 67 indexed citations

6.

Sharify, Sayeh, Alberto Delmás Lascorz, Kevin Siu, Patrick Judd, & Andreas Moshovos. (2018). Loom. 1–6. 44 indexed citations

7.

Siu, Kevin, et al.. (2018). Memory Requirements for Convolutional Neural Network Hardware Accelerators. 111–121. 47 indexed citations

8.

Moshovos, Andreas, Jorge Albericio, Patrick Judd, et al.. (2018). Identifying and Exploiting Ineffectual Computations to Enable Hardware Acceleration of Deep Learning. abs 1706 504. 356–360. 2 indexed citations

9.

Mahmoud, Mostafa, Kevin Siu, & Andreas Moshovos. (2018). Diffy: a Déjà vu-Free Differential Deep Neural Network Accelerator. 134–147. 41 indexed citations

10.

Atkins, M. Stella, et al.. (2002). Difficulties of T1 brain MRI segmentation techniques. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4684. 1837–1837. 13 indexed citations

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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