Daejin Park

1.0k total citations
156 papers, 719 citations indexed

About

Daejin Park is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daejin Park has authored 156 papers receiving a total of 719 indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Electrical and Electronic Engineering, 40 papers in Computer Networks and Communications and 33 papers in Computer Vision and Pattern Recognition. Recurrent topics in Daejin Park's work include IoT and Edge/Fog Computing (18 papers), Autonomous Vehicle Technology and Safety (16 papers) and ECG Monitoring and Analysis (14 papers). Daejin Park is often cited by papers focused on IoT and Edge/Fog Computing (18 papers), Autonomous Vehicle Technology and Safety (16 papers) and ECG Monitoring and Analysis (14 papers). Daejin Park collaborates with scholars based in South Korea, United States and Singapore. Daejin Park's co-authors include Jeonghun Cho, Meng Yin, Tag Gon Kim, Wentong Cai, Sung‐Hoon Hong, Pyung Choi, Sejong Oh, Byoung‐Ju Yun, Tadesse Weldu Teklu and Hazim Abass and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Journal of Medicinal Chemistry.

In The Last Decade

Daejin Park

134 papers receiving 700 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daejin Park South Korea 15 257 137 120 119 72 156 719
Honghai Zhang China 17 263 1.0× 337 2.5× 127 1.1× 109 0.9× 89 1.2× 72 1.0k
Massimo Merenda Italy 16 533 2.1× 195 1.4× 120 1.0× 26 0.2× 88 1.2× 83 969
Daniele Jahier Pagliari Italy 15 276 1.1× 111 0.8× 150 1.3× 75 0.6× 10 0.1× 79 612
R. Karthick India 18 320 1.2× 191 1.4× 131 1.1× 58 0.5× 45 0.6× 64 888
Tao Zou China 18 100 0.4× 341 2.5× 85 0.7× 49 0.4× 80 1.1× 106 1.1k
Ankush Chakrabarty United States 20 104 0.4× 115 0.8× 61 0.5× 59 0.5× 83 1.2× 101 1.2k
Longhua Ma China 16 200 0.8× 84 0.6× 97 0.8× 125 1.1× 22 0.3× 68 698
Yifeng Huang China 15 95 0.4× 153 1.1× 186 1.6× 16 0.1× 45 0.6× 42 672
Shaocheng Qu China 18 493 1.9× 274 2.0× 115 1.0× 49 0.4× 144 2.0× 83 1.2k
Bowen Du China 14 150 0.6× 59 0.4× 220 1.8× 57 0.5× 30 0.4× 50 827

Countries citing papers authored by Daejin Park

Since Specialization
Citations

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

Fields of papers citing papers by Daejin Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daejin Park

This figure shows the co-authorship network connecting the top 25 collaborators of Daejin Park. A scholar is included among the top collaborators of Daejin 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 Daejin Park. Daejin 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
1.
Park, Daejin, et al.. (2025). Flexible Edge-AI Software Execution Architecture Based on Cloud-Connected Incremental Learning. IEEE Access. 13. 120772–120784.
2.
Hong, Sung‐Hoon & Daejin Park. (2024). Differential Image-Based Scalable YOLOv7-Tiny Implementation for Clustered Embedded Systems. IEEE Transactions on Intelligent Transportation Systems. 25(11). 16036–16047.
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Park, Daejin, et al.. (2023). Effect of skew on the tonal noise characteristics of a full-scale submarine propeller. Ocean Engineering. 276. 114218–114218. 19 indexed citations
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Park, Daejin, et al.. (2023). Shallow Clock Tree Pre-Estimation for Designing Clock Tree Synthesizable Verilog RTLs. Electronics. 12(20). 4340–4340.
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Park, Daejin, et al.. (2022). Abnormal beat detection from unreconstructed compressed signals based on linear approximation in ECG signals suitable for embedded IoT devices. Journal of Ambient Intelligence and Humanized Computing. 13(10). 4705–4717. 7 indexed citations
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Park, Daejin, et al.. (2022). Efficient Sensor Processing Technique Using Kalman Filter-Based Velocity Prediction in Large-Scale Vehicle IoT Application. IEEE Access. 10. 116735–116746. 1 indexed citations
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Kollár, Zsolt, et al.. (2022). FPGA Realization of the Observer-Based Sliding Discrete Fourier Transform. IEEE Access. 10. 29432–29442. 2 indexed citations
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Park, Daejin, et al.. (2021). Efficient Template Cluster Generation for Real-Time Abnormal Beat Detection in Lightweight Embedded ECG Acquisition Devices. IEEE Access. 9. 70596–70605. 3 indexed citations
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Park, Daejin, et al.. (2019). SSCFM: Separate Signature-Based Control Flow Error Monitoring for Multi-Threaded and Multi-Core Environments. Electronics. 8(2). 166–166. 3 indexed citations
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Park, Daejin, et al.. (2018). Accurate Age Estimation Using Multi-Task Siamese Network-Based Deep Metric Learning for Frontal Face Images. Symmetry. 10(9). 385–385. 14 indexed citations
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Kim, Seongseop, Jeonghun Cho, & Daejin Park. (2017). Moving-Target Position Estimation Using GPU-Based Particle Filter for IoT Sensing Applications. Applied Sciences. 7(11). 1152–1152. 12 indexed citations
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Park, Daejin & Jeonghun Cho. (2014). Accuracy-Energy Configurable Sensor Processor and IoT Device for Long-Term Activity Monitoring in Rare-Event Sensing Applications. The Scientific World JOURNAL. 2014. 1–16. 2 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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