Hyeonuk Sim

430 total citations
19 papers, 311 citations indexed

About

Hyeonuk Sim is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hyeonuk Sim has authored 19 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Computer Networks and Communications and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hyeonuk Sim's work include Error Correcting Code Techniques (9 papers), Stochastic Gradient Optimization Techniques (8 papers) and Advanced Neural Network Applications (8 papers). Hyeonuk Sim is often cited by papers focused on Error Correcting Code Techniques (9 papers), Stochastic Gradient Optimization Techniques (8 papers) and Advanced Neural Network Applications (8 papers). Hyeonuk Sim collaborates with scholars based in South Korea and Canada. Hyeonuk Sim's co-authors include Jongeun Lee, Sugil Lee, Ki‐Young Choi, Dong Thanh Nguyen, Dae Woo Kim, Sang‐Heon Kim, Dong Hyun Kang, Hong Sik Lee and Jason H. Anderson and has published in prestigious journals such as Neural Networks, Frontiers in Neuroscience and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

In The Last Decade

Hyeonuk Sim

18 papers receiving 302 citations

Peers

Hyeonuk Sim

CNC

EEE

CVPR

Joonsang Yu South Korea

Angelo Garofalo Italy

Sheng-Chun Kao United States

Prasanth Chatarasi United States

Coleman Hooper United States

Thierry Tambe United States

Xiuhong Li China

Joonho Song South Korea

Rashish Tandon United States

Alec Lu Canada

Joonsang Yu South Korea

Hyeonuk Sim

143 ×0.7

CNC

156 ×0.8

EEE

162 ×0.9

78 ×1.0

CVPR

23 ×1.0

Citations per year, relative to Hyeonuk Sim Hyeonuk Sim (= 1×) peers Joonsang Yu

Countries citing papers authored by Hyeonuk Sim

Since Specialization

Citations

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

Fields of papers citing papers by Hyeonuk Sim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyeonuk Sim

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

All Works

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19 of 19 papers shown

Sim, Hyeonuk, et al.. (2024). FlexInt: A New Number Format for Robust Sub-8-Bit Neural Network Inference. 1–7.

Sim, Hyeonuk, et al.. (2022). MLogNet: A Logarithmic Quantization-Based Accelerator for Depthwise Separable Convolution. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41(12). 5220–5231. 5 indexed citations

Sim, Hyeonuk, et al.. (2021). Automated Log-Scale Quantization for Low-Cost Deep Neural Networks. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 742–751. 16 indexed citations

Sim, Hyeonuk & Jongeun Lee. (2020). Bitstream-Based Neural Network for Scalable, Efficient, and Accurate Deep Learning Hardware. Frontiers in Neuroscience. 14. 543472–543472. 4 indexed citations

Sim, Hyeonuk, et al.. (2020). SparTANN. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 211–216. 5 indexed citations

Sim, Hyeonuk & Jongeun Lee. (2019). Cost-effective stochastic MAC circuits for deep neural networks. Neural Networks. 117. 152–162. 19 indexed citations

Sim, Hyeonuk, Jason H. Anderson, & Jongeun Lee. (2019). XOMA. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 651–656. 1 indexed citations

Sim, Hyeonuk & Jongeun Lee. (2019). Log-quantized stochastic computing for memory and computation efficient DNNs. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 1606. 280–285. 10 indexed citations

Lee, Sugil, et al.. (2019). Successive Log Quantization for Cost-Efficient Neural Networks Using Stochastic Computing. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 1–6. 16 indexed citations

10.

Lee, Sugil, et al.. (2018). Sign-Magnitude SC: Getting 10X Accuracy for Free in Stochastic Computing for Deep Neural Networks. 28 indexed citations

11.

Lee, Sugil, et al.. (2018). Sign-magnitude SC. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 1–6. 18 indexed citations

12.

Sim, Hyeonuk, et al.. (2018). DPS: Dynamic Precision Scaling for Stochastic Computing-based Deep Neural Networks. 1–6. 15 indexed citations

13.

Sim, Hyeonuk, et al.. (2018). DPS. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 1–6. 24 indexed citations

14.

Kim, Sang‐Heon, et al.. (2018). Optical System for Multi-Channel Real-Time PCR Detection. Conference on Lasers and Electro-Optics. JTu2A.96–JTu2A.96. 1 indexed citations

15.

Sim, Hyeonuk, Dong Thanh Nguyen, Jongeun Lee, & Ki‐Young Choi. (2017). Scalable stochastic-computing accelerator for convolutional neural networks. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 696–701. 35 indexed citations

16.

Kim, Dae Woo, et al.. (2017). FPGA implementation of convolutional neural network based on stochastic computing. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). abs 1410 759. 287–290. 7 indexed citations

17.

Sim, Hyeonuk & Jongeun Lee. (2017). A New Stochastic Computing Multiplier with Application to Deep Convolutional Neural Networks. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 1–6. 102 indexed citations

18.

Sim, Hyeonuk, et al.. (2016). Efficient High-Level Synthesis for Nested Loops of Nonrectangular Iteration Spaces. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 24(8). 2799–2802. 4 indexed citations

19.

Sim, Hyeonuk, et al.. (2015). Mapping Imperfect Loops to Coarse-Grained Reconfigurable Architectures. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 35(7). 1092–1104. 1 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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