Bor-Yiing Su

1.7k total citations · 1 hit paper
18 papers, 973 citations indexed

About

Bor-Yiing Su is a scholar working on Hardware and Architecture, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Bor-Yiing Su has authored 18 papers receiving a total of 973 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Hardware and Architecture, 7 papers in Artificial Intelligence and 6 papers in Computer Networks and Communications. Recurrent topics in Bor-Yiing Su's work include VLSI and FPGA Design Techniques (6 papers), Parallel Computing and Optimization Techniques (5 papers) and VLSI and Analog Circuit Testing (5 papers). Bor-Yiing Su is often cited by papers focused on VLSI and FPGA Design Techniques (6 papers), Parallel Computing and Optimization Techniques (5 papers) and VLSI and Analog Circuit Testing (5 papers). Bor-Yiing Su collaborates with scholars based in United States, Taiwan and South Korea. Bor-Yiing Su's co-authors include Kurt Keutzer, Eugene J. Shekita, Mu Li, Amr Ahmed, David G. Andersen, Jun Woo Park, James E. Long, Alexander J. Smola, Vanja Josifovski and Bryan Catanzaro and has published in prestigious journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Micro and Operating Systems Design and Implementation.

In The Last Decade

Bor-Yiing Su

18 papers receiving 918 citations

Hit Papers

Scaling distributed machine learning with the parameter s... 2014 2026 2018 2022 2014 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Scaling distributed machine learning with the parameter server
    2014 606 citations Mu Li, David G. Andersen et al. Operating Systems Design and Implementation profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bor-Yiing Su United States 9 473 394 310 300 187 18 973
Dan Alistarh Austria 14 334 0.7× 430 1.1× 158 0.5× 213 0.7× 64 0.3× 86 732
Cody Hao Yu United States 15 364 0.8× 326 0.8× 379 1.2× 492 1.6× 115 0.6× 29 1.2k
Maciej Besta Switzerland 16 325 0.7× 480 1.2× 250 0.8× 269 0.9× 226 1.2× 44 925
Sudarshan Srinivasan United States 11 243 0.5× 489 1.2× 164 0.5× 356 1.2× 161 0.9× 35 911
David Gregg Ireland 18 418 0.9× 337 0.9× 167 0.5× 513 1.7× 201 1.1× 94 959
Gregory Diamos United States 20 300 0.6× 823 2.1× 228 0.7× 800 2.7× 265 1.4× 29 1.3k
Katerina Argyraki Switzerland 22 507 1.1× 1.5k 3.8× 152 0.5× 312 1.0× 357 1.9× 64 1.8k
Antonino Tumeo United States 17 256 0.5× 591 1.5× 214 0.7× 654 2.2× 153 0.8× 127 1.2k
Zhihao Jia United States 15 408 0.9× 195 0.5× 299 1.0× 178 0.6× 125 0.7× 34 738
Fredrik Kjølstad United States 14 204 0.4× 285 0.7× 150 0.5× 494 1.6× 62 0.3× 34 741

Countries citing papers authored by Bor-Yiing Su

Since Specialization
Citations

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

Fields of papers citing papers by Bor-Yiing Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bor-Yiing Su. 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 Bor-Yiing Su. The network helps show where Bor-Yiing Su may publish in the future.

Co-authorship network of co-authors of Bor-Yiing Su

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

All Works

18 of 18 papers shown
1.
Maeng, Kiwan, Vikram Saraph, Bor-Yiing Su, et al.. (2021). Understanding and Improving Failure Tolerant Training for Deep Learning Recommendation with Partial Recovery. 3. 637–651. 6 indexed citations
2.
Huang, Yuzhen, Xiaohan Wei, Xing Wang, et al.. (2021). Hierarchical Training: Scaling Deep Recommendation Models on Large CPU Clusters. 3050–3058. 5 indexed citations
3.
Rendle, Steffen, Dennis Fetterly, Eugene J. Shekita, & Bor-Yiing Su. (2016). Robust Large-Scale Machine Learning in the Cloud. 1125–1134. 10 indexed citations
4.
Li, Mu, David G. Andersen, Jun Woo Park, et al.. (2014). Scaling distributed machine learning with the parameter server. Operating Systems Design and Implementation. 583–598. 606 indexed citations breakdown →
5.
Keutzer, Kurt & Bor-Yiing Su. (2012). Parallel application library for object recognition. 5 indexed citations
6.
Su, Bor-Yiing & Kurt Keutzer. (2012). clSpMV. 353–364. 115 indexed citations
7.
Anderson, Michael, Bryan Catanzaro, Jike Chong, et al.. (2011). Considerations when evaluating microprocessor platforms. 1–1. 4 indexed citations
8.
Su, Bor-Yiing, et al.. (2011). A parallel region based object recognition system. 81–88. 1 indexed citations
9.
Catanzaro, Bryan, Armando Fox, Kurt Keutzer, et al.. (2010). Ubiquitous Parallel Computing from Berkeley, Illinois, and Stanford. IEEE Micro. 30(2). 41–55. 24 indexed citations
10.
Su, Bor-Yiing, et al.. (2010). Parallel BFS graph traversal on images using structured grid. 4489–4492. 7 indexed citations
11.
Snir, Marc, David A. Patterson, Bryan Catanzaro, et al.. (2010). Ubiquitous Parallel Computing from Berkeley, Illinois and Stanford. IEEE Micro. 3 indexed citations
12.
Catanzaro, Bryan, Bor-Yiing Su, Narayanan Sundaram, et al.. (2009). Efficient, high-quality image contour detection. 2381–2388. 79 indexed citations
13.
Jiang, Zhewei, Bor-Yiing Su, & Yao‐Wen Chang. (2008). Routability-driven analytical placement by net overlapping removal for large-scale mixed-size designs. 167–172. 41 indexed citations
14.
Catanzaro, Bryan, Kurt Keutzer, & Bor-Yiing Su. (2008). Parallelizing CAD. 12–17. 36 indexed citations
15.
Su, Bor-Yiing & Yao‐Wen Chang. (2007). An Optimal Jumper-Insertion Algorithm for Antenna Avoidance/Fixing. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 26(10). 1818–1829. 7 indexed citations
16.
Su, Bor-Yiing, Yao‐Wen Chang, & Jiang Hu. (2007). An Exact Jumper-Insertion Algorithm for Antenna Violation Avoidance/Fixing Considering Routing Obstacles. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 26(4). 719–733. 5 indexed citations
17.
Su, Bor-Yiing, Yao‐Wen Chang, & Jiang Hu. (2006). An optimal jumper insertion algorithm for antenna avoidance/fixing on general routing trees with obstacles. 56–63. 9 indexed citations
18.
Su, Bor-Yiing & Yao‐Wen Chang. (2005). An exact jumper insertion algorithm for antenna effect avoidance/fixing. NTUR (臺灣機構典藏). 325–325. 10 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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