Dongseok Im

532 total citations
37 papers, 369 citations indexed

About

Dongseok Im is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Aerospace Engineering. According to data from OpenAlex, Dongseok Im has authored 37 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 12 papers in Electrical and Electronic Engineering and 8 papers in Aerospace Engineering. Recurrent topics in Dongseok Im's work include Advanced Neural Network Applications (15 papers), CCD and CMOS Imaging Sensors (9 papers) and Advanced Vision and Imaging (9 papers). Dongseok Im is often cited by papers focused on Advanced Neural Network Applications (15 papers), CCD and CMOS Imaging Sensors (9 papers) and Advanced Vision and Imaging (9 papers). Dongseok Im collaborates with scholars based in South Korea, United States and Canada. Dongseok Im's co-authors include Hoi‐Jun Yoo, Donghyeon Han, Sanghoon Kang, Juhyoung Lee, Gwangtae Park, Sangyeob Kim, Sungpill Choi, Sangjin Kim, Soyeon Kim and Zhiyong Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Journal of Solid-State Circuits and IEEE Transactions on Circuits and Systems I Regular Papers.

In The Last Decade

Dongseok Im

36 papers receiving 365 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dongseok Im South Korea 12 206 150 82 44 34 37 369
Haoran You United States 13 211 1.0× 164 1.1× 219 2.7× 25 0.6× 46 1.4× 23 443
Chaojian Li United States 12 177 0.9× 152 1.0× 146 1.8× 22 0.5× 67 2.0× 33 420
Gwangtae Park South Korea 8 161 0.8× 135 0.9× 78 1.0× 21 0.5× 30 0.9× 29 279
Lionel Lacassagne France 11 177 0.9× 75 0.5× 23 0.3× 46 1.0× 41 1.2× 53 305
Juhyoung Lee South Korea 17 378 1.8× 444 3.0× 188 2.3× 30 0.7× 116 3.4× 44 741
Hyuk-Jae Lee South Korea 12 175 0.8× 158 1.1× 42 0.5× 30 0.7× 83 2.4× 61 419
Yuichiro Shibata Japan 9 148 0.7× 191 1.3× 46 0.6× 33 0.8× 63 1.9× 95 387
Zichao Guo China 6 328 1.6× 52 0.3× 238 2.9× 17 0.4× 15 0.4× 12 478
Gene C. H. Chuang Taiwan 7 209 1.0× 113 0.8× 20 0.2× 22 0.5× 10 0.3× 13 373
Pavol Galajda Slovakia 12 85 0.4× 315 2.1× 52 0.6× 42 1.0× 19 0.6× 81 474

Countries citing papers authored by Dongseok Im

Since Specialization
Citations

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

Fields of papers citing papers by Dongseok Im

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongseok Im

This figure shows the co-authorship network connecting the top 25 collaborators of Dongseok Im. A scholar is included among the top collaborators of Dongseok Im 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 Dongseok Im. Dongseok Im 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.
4.
Im, Dongseok, et al.. (2024). ED-MPIM: An Energy-Efficient Event-Driven Smart Vision SoC With High-Linearity and Reconfigurable MRAM PIM. IEEE Journal of Solid-State Circuits. 60(6). 2226–2238. 1 indexed citations
5.
Li, Zhiyong, Donghyeon Han, Dongseok Im, et al.. (2024). NeuGPU: An Energy-Efficient Neural Graphics Processing Unit for Instant Modeling and Real-Time Rendering on Mobile Devices. IEEE Journal of Solid-State Circuits. 60(1). 99–111. 1 indexed citations
6.
Im, Dongseok, et al.. (2024). CamPU: A Multi-Camera Processing Unit for Deep Learning-based 3D Spatial Computing Systems. 50–63. 1 indexed citations
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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
10.
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
11.
Han, Donghyeon, et al.. (2022). A DNN Training Processor for Robust Object Detection with Real-World Environmental Adaptation. 501–501. 2 indexed citations
12.
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
13.
Li, Zhiyong, Sangjin Kim, Dongseok Im, Donghyeon Han, & Hoi‐Jun Yoo. (2022). An 0.92 mJ/frame High-quality FHD Super-resolution Mobile Accelerator SoC with Hybrid-precision and Energy-efficient Cache. 1–2. 7 indexed citations
14.
Kim, Sangjin, Juhyoung Lee, Dongseok Im, & Hoi‐Jun Yoo. (2021). PNNPU: A 11.9 TOPS/W High-speed 3D Point Cloud-based Neural Network Processor with Block-based Point Processing for Regular DRAM Access. 1–2. 24 indexed citations
15.
Im, Dongseok, et al.. (2021). AI SoCs for AR/VR User-Interaction. 2021 IEEE International Electron Devices Meeting (IEDM). 35.4.1–35.4.4. 4 indexed citations
16.
Li, Zhiyong, Dongseok Im, Jinsu Lee, & Hoi‐Jun Yoo. (2021). A 3.6 TOPS/W Hybrid FP-FXP Deep Learning Processor with Outlier Compensation for Image-to-Image Application. 1–5. 1 indexed citations
17.
Kang, Sanghoon, Donghyeon Han, Juhyoung Lee, et al.. (2020). 7.4 GANPU: A 135TFLOPS/W Multi-DNN Training Processor for GANs with Speculative Dual-Sparsity Exploitation. 140–142. 59 indexed citations
18.
Im, Dongseok, Sanghoon Kang, Donghyeon Han, Sungpill Choi, & Hoi‐Jun Yoo. (2020). A 4.45 ms Low-Latency 3D Point-Cloud-Based Neural Network Processor for Hand Pose Estimation in Immersive Wearable Devices. 1–2. 11 indexed citations
19.
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
20.
Im, Dongseok, Donghyeon Han, Sungpill Choi, Sanghoon Kang, & Hoi‐Jun Yoo. (2019). DT-CNN: Dilated and Transposed Convolution Neural Network Accelerator for Real-Time Image Segmentation on Mobile Devices. 29 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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