Dong-Sung Pae

436 total citations
31 papers, 284 citations indexed

About

Dong-Sung Pae is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Control and Systems Engineering. According to data from OpenAlex, Dong-Sung Pae has authored 31 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 12 papers in Automotive Engineering and 7 papers in Control and Systems Engineering. Recurrent topics in Dong-Sung Pae's work include Autonomous Vehicle Technology and Safety (9 papers), Video Surveillance and Tracking Methods (7 papers) and Vehicle Dynamics and Control Systems (5 papers). Dong-Sung Pae is often cited by papers focused on Autonomous Vehicle Technology and Safety (9 papers), Video Surveillance and Tracking Methods (7 papers) and Vehicle Dynamics and Control Systems (5 papers). Dong-Sung Pae collaborates with scholars based in South Korea. Dong-Sung Pae's co-authors include Myo Taeg Lim, Tae‐Koo Kang, Dong-Won Kim, Yun Kyu Lee, Myo–Taeg Lim, Chang-Joo Lee, Woo Jin Ahn, Hyun Duck Choi, Euiyoung Kim and Choon Ki Ahn and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Dong-Sung Pae

30 papers receiving 270 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dong-Sung Pae South Korea 8 129 76 57 56 55 31 284
Tae‐Koo Kang South Korea 11 242 1.9× 40 0.5× 58 1.0× 98 1.8× 96 1.7× 48 437
Shinko Y. Cheng United States 9 207 1.6× 171 2.3× 33 0.6× 50 0.9× 40 0.7× 15 487
Gowdham Prabhakar India 9 79 0.6× 53 0.7× 31 0.5× 61 1.1× 42 0.8× 19 326
Paul Smith United Kingdom 7 258 2.0× 48 0.6× 48 0.8× 71 1.3× 166 3.0× 13 537
Byungtae Jang South Korea 10 42 0.3× 42 0.6× 33 0.6× 100 1.8× 59 1.1× 41 425
Wang Rong-ben China 9 135 1.0× 118 1.6× 21 0.4× 18 0.3× 131 2.4× 36 332
Alberto Fernández Spain 10 101 0.8× 35 0.5× 22 0.4× 29 0.5× 56 1.0× 18 328
Igor Lashkov Russia 9 68 0.5× 136 1.8× 16 0.3× 21 0.4× 70 1.3× 27 321
Ahmed Abobakr Australia 10 163 1.3× 68 0.9× 33 0.6× 30 0.5× 10 0.2× 23 444

Countries citing papers authored by Dong-Sung Pae

Since Specialization
Citations

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

Fields of papers citing papers by Dong-Sung Pae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dong-Sung Pae. 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 Dong-Sung Pae. The network helps show where Dong-Sung Pae may publish in the future.

Co-authorship network of co-authors of Dong-Sung Pae

This figure shows the co-authorship network connecting the top 25 collaborators of Dong-Sung Pae. A scholar is included among the top collaborators of Dong-Sung Pae 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 Dong-Sung Pae. Dong-Sung Pae 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
1.
Pae, Dong-Sung, et al.. (2024). Fusion-attention network using dense scale-invariant feature transform flow image and point cloud for 3D pedestrian detection. Multimedia Tools and Applications. 84(14). 12813–12833. 1 indexed citations
2.
Ahn, Woo Jin, et al.. (2024). Bridging Viewpoints in Cross-View Geo-Localization With Siamese Vision Transformer. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–12. 2 indexed citations
3.
Ahn, Woo Jin, et al.. (2023). Multiple Object Tracking Using Re-Identification Model with Attention Module. Applied Sciences. 13(7). 4298–4298. 6 indexed citations
4.
Ahn, Woo Jin, Dong-Won Kim, Tae‐Koo Kang, Dong-Sung Pae, & Myo Taeg Lim. (2023). Unsupervised Semantic Segmentation Inpainting Network Using a Generative Adversarial Network with Preprocessing. Applied Sciences. 13(2). 781–781. 1 indexed citations
5.
Kim, Euiyoung, Dong-Sung Pae, & Myo Taeg Lim. (2023). Road Boundary Detection Using Multi-channel LiDAR Based on Disassemble-reassemble-merge Algorithm for Autonomous Driving. International Journal of Control Automation and Systems. 21(11). 3724–3733. 5 indexed citations
6.
Pae, Dong-Sung, et al.. (2023). Feature-Selection-Based Attentional-Deconvolution Detector for German Traffic Sign Detection Benchmark. Electronics. 12(3). 725–725. 6 indexed citations
7.
Pae, Dong-Sung, et al.. (2023). Sampled-Data L2-L∞ Filter-Based Fuzzy Control for Active Suspensions. IEEE Access. 11. 21068–21080. 4 indexed citations
8.
Kim, Yu-Jin, et al.. (2022). Reinforcement Learning for Autonomous Vehicle using MPC in Highway Situation. 1–4. 5 indexed citations
9.
Pae, Dong-Sung, et al.. (2022). Binary Dense SIFT Flow Based Position-Information Added Two-Stream CNN for Pedestrian Action Recognition. Applied Sciences. 12(20). 10445–10445. 4 indexed citations
10.
Kang, Seong Woo, et al.. (2022). Robust Sampled-data Output Feedback T-S Fuzzy Control for Vehicle Active Suspension Systems via Input Delay Approach. 2022 22nd International Conference on Control, Automation and Systems (ICCAS). 716–719. 1 indexed citations
11.
Pae, Dong-Sung, et al.. (2021). Path Planning Based on Obstacle-Dependent Gaussian Model Predictive Control for Autonomous Driving. Applied Sciences. 11(8). 3703–3703. 16 indexed citations
12.
Pae, Dong-Sung, et al.. (2021). Emotion Recognition with Short-Period Physiological Signals Using Bimodal Sparse Autoencoders. Intelligent Automation & Soft Computing. 32(2). 657–673. 7 indexed citations
13.
Ahn, Woo Jin, et al.. (2021). Re-Identification for Multi-Object Tracking Using Triplet Loss. 525–527. 1 indexed citations
14.
Lee, Yun Kyu, et al.. (2019). Fast Emotion Recognition Based on Single Pulse PPG Signal with Convolutional Neural Network. Applied Sciences. 9(16). 3355–3355. 70 indexed citations
15.
Lee, Minwoo, et al.. (2019). PPG and EMG Based Emotion Recognition using Convolutional Neural Network. 595–600. 7 indexed citations
16.
Pae, Dong-Sung, et al.. (2018). A Real-Time Obstacle Avoidance Method for Autonomous Vehicles Using an Obstacle-Dependent Gaussian Potential Field. Journal of Advanced Transportation. 2018. 1–15. 38 indexed citations
17.
Pae, Dong-Sung, et al.. (2018). Advanced digital image stabilization using similarity-constrained optimization. Multimedia Tools and Applications. 78(12). 16489–16506. 3 indexed citations
18.
Pae, Dong-Sung, et al.. (2018). Pattern matching for industrial object recognition using geometry-based vector mapping descriptors. Pattern Analysis and Applications. 21(4). 1167–1183. 1 indexed citations
19.
20.
Pak, Jung Min, et al.. (2017). Accurate pinch detection using recent finite measurements for automotive anti-pinch sunroof systems. International Journal of Control Automation and Systems. 15(5). 2443–2447. 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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