Gwangtae Park

421 total citations
29 papers, 279 citations indexed

About

Gwangtae Park is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Aerospace Engineering. According to data from OpenAlex, Gwangtae Park has authored 29 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 10 papers in Electrical and Electronic Engineering and 6 papers in Aerospace Engineering. Recurrent topics in Gwangtae Park's work include Advanced Neural Network Applications (12 papers), Advanced Memory and Neural Computing (6 papers) and Robotics and Sensor-Based Localization (6 papers). Gwangtae Park is often cited by papers focused on Advanced Neural Network Applications (12 papers), Advanced Memory and Neural Computing (6 papers) and Robotics and Sensor-Based Localization (6 papers). Gwangtae Park collaborates with scholars based in South Korea, United States and Canada. Gwangtae Park's co-authors include Hoi‐Jun Yoo, Donghyeon Han, Juhyoung Lee, Jinsu Lee, Jinmook Lee, Dongseok Im, Zhiyong Li, Sanghoon Kang, Sangjin Kim and Soyeon Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Journal of Solid-State Circuits and IEEE Micro.

In The Last Decade

Gwangtae Park

24 papers receiving 278 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gwangtae Park South Korea 8 161 135 78 30 21 29 279
Dongseok Im South Korea 12 206 1.3× 150 1.1× 82 1.1× 34 1.1× 44 2.1× 37 369
Shijie Li China 10 140 0.9× 87 0.6× 101 1.3× 17 0.6× 7 0.3× 24 250
Wenshuo Li China 7 129 0.8× 114 0.8× 113 1.4× 18 0.6× 9 0.4× 10 222
Tianyun Zhang United States 9 169 1.0× 75 0.6× 147 1.9× 18 0.6× 13 0.6× 20 298
Jeff Pool United States 8 151 0.9× 81 0.6× 78 1.0× 54 1.8× 8 0.4× 10 242
Alberto Delmás Lascorz Canada 6 193 1.2× 145 1.1× 118 1.5× 62 2.1× 6 0.3× 12 273
Kevin Siu Canada 8 251 1.6× 191 1.4× 142 1.8× 67 2.2× 8 0.4× 10 356
Jiazhen Lin China 6 191 1.2× 56 0.4× 179 2.3× 11 0.4× 14 0.7× 14 317
Matthieu Courbariaux Canada 3 311 1.9× 167 1.2× 219 2.8× 38 1.3× 9 0.4× 4 436

Countries citing papers authored by Gwangtae Park

Since Specialization
Citations

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

Fields of papers citing papers by Gwangtae Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gwangtae Park

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

All Works

20 of 20 papers shown
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Im, Dongseok, et al.. (2025). An Overview of AI Hardware Architectures and Silicon for 3-D Spatial Computing Systems. SHILAP Revista de lepidopterología. 5. 212–228.
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Park, Gwangtae, et al.. (2024). A 8.81 TFLOPS/W Deep-Reinforcement-Learning Accelerator With Delta-Based Weight Sharing and Block-Mantissa Reconfigurable PE Array. IEEE Transactions on Circuits & Systems II Express Briefs. 71(5). 2529–2533.
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Im, Dongseok, Gwangtae Park, Zhiyong Li, et al.. (2023). A Mobile 3-D Object Recognition Processor With Deep-Learning-Based Monocular Depth Estimation. IEEE Micro. 43(3). 74–82. 2 indexed citations
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Im, Dongseok, Gwangtae Park, Zhiyong Li, et al.. (2022). DSPU: An Efficient Deep Learning-Based Dense RGB-D Data Acquisition With Sensor Fusion and 3-D Perception SoC. IEEE Journal of Solid-State Circuits. 58(1). 177–188. 3 indexed citations
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Han, Donghyeon, et al.. (2022). A DNN Training Processor for Robust Object Detection with Real-World Environmental Adaptation. 501–501. 2 indexed citations
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Im, Dongseok, Gwangtae Park, Zhiyong Li, et al.. (2022). DSPU: A 281.6mW Real-Time Depth Signal Processing Unit for Deep Learning-Based Dense RGB-D Data Acquisition with Depth Fusion and 3D Bounding Box Extraction in Mobile Platforms. 2022 IEEE International Solid- State Circuits Conference (ISSCC). 510–512. 11 indexed citations
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Park, Gwangtae, et al.. (2021). Delayed cranial nerve palsy after successful coil embolization in cavernous sinus lesion. Journal of Cerebrovascular and Endovascular Neurosurgery. 23(1). 35–40.
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Kang, Sanghoon, Gwangtae Park, Sangjin Kim, et al.. (2021). An Overview of Sparsity Exploitation in CNNs for On-Device Intelligence With Software-Hardware Cross-Layer Optimizations. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 11(4). 634–648. 15 indexed citations
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Han, Donghyeon, et al.. (2021). HNPU: An Adaptive DNN Training Processor Utilizing Stochastic Dynamic Fixed-Point and Active Bit-Precision Searching. IEEE Journal of Solid-State Circuits. 56(9). 2858–2869. 49 indexed citations
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Park, Gwangtae, et al.. (2020). Characteristics of patients with ruptured very small intracranial aneurysm sized less than 3 mm. Journal of Cerebrovascular and Endovascular Neurosurgery. 23(1). 1–5. 3 indexed citations
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Park, Gwangtae, Dongseok Im, Donghyeon Han, & Hoi‐Jun Yoo. (2020). A 1.15 TOPS/W Energy-Efficient Capsule Network Accelerator for Real-Time 3D Point Cloud Segmentation in Mobile Environment. IEEE Transactions on Circuits & Systems II Express Briefs. 67(9). 1594–1598. 14 indexed citations
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Lee, Jinsu, Juhyoung Lee, Donghyeon Han, et al.. (2019). An Energy-Efficient Sparse Deep-Neural-Network Learning Accelerator With Fine-Grained Mixed Precision of FP8–FP16. IEEE Solid-State Circuits Letters. 2(11). 232–235. 19 indexed citations
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Lee, Jinsu, Juhyoung Lee, Donghyeon Han, et al.. (2019). 7.7 LNPU: A 25.3TFLOPS/W Sparse Deep-Neural-Network Learning Processor with Fine-Grained Mixed Precision of FP8-FP16. 142–144. 114 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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Breakdown of academic impact, for papers by Dongseok Im Breakdown of academic impact, for papers by Shijie Li Breakdown of academic impact, for papers by Wenshuo Li Breakdown of academic impact, for papers by Tianyun Zhang Breakdown of academic impact, for papers by Jeff Pool Breakdown of academic impact, for papers by Alberto Delmás Lascorz Breakdown of academic impact, for papers by Kevin Siu Breakdown of academic impact, for papers by Jiazhen Lin Breakdown of academic impact, for papers by Matthieu Courbariaux
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