Jin-Young Choi

616 total citations · 1 hit paper
19 papers, 188 citations indexed

About

Jin-Young Choi is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jin-Young Choi has authored 19 papers receiving a total of 188 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 5 papers in Biomedical Engineering and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jin-Young Choi's work include Advancements in Semiconductor Devices and Circuit Design (5 papers), Semiconductor materials and devices (4 papers) and Human Pose and Action Recognition (3 papers). Jin-Young Choi is often cited by papers focused on Advancements in Semiconductor Devices and Circuit Design (5 papers), Semiconductor materials and devices (4 papers) and Human Pose and Action Recognition (3 papers). Jin-Young Choi collaborates with scholars based in South Korea, Netherlands and Germany. Jin-Young Choi's co-authors include Jong-Wook Kim, SoYoung Kim, Jeong-Taek Kong, Do‐Gyun Kim, Yo-Han Kim, Tai‐Myoung Chung, Young-Ju Han, Minwoo Park, Sung-Min Jung and Jea‐Gun Park and has published in prestigious journals such as Sensors, IEEE Transactions on Electron Devices and Applied Sciences.

In The Last Decade

Jin-Young Choi

15 papers receiving 179 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Human Pose Estimation Using MediaPipe Pose and Optimization Method Based on a Humanoid Model

2023 97 citations Jong-Wook Kim, Jin-Young Choi et al. Applied Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jin-Young Choi South Korea	7	65	53	33	30	30	19	188
Andrew P. Gee United Kingdom	8	39 0.6×	210 4.0×	14 0.4×	7 0.2×	34 1.1×	12	266
Kiing Ing Wong Malaysia	9	157 2.4×	23 0.4×	123 3.7×	67 2.2×	12 0.4×	51	305
Prashanth Chandran United States	10	26 0.4×	196 3.7×	18 0.5×	24 0.8×	12 0.4×	28	274
Ruidong Zhang United States	9	20 0.3×	86 1.6×	37 1.1×	13 0.4×	83 2.8×	27	239
Francis Deboeverie Belgium	8	49 0.8×	168 3.2×	16 0.5×	10 0.3×	19 0.6×	25	215
Sangwoo Mo South Korea	6	53 0.8×	76 1.4×	75 2.3×	10 0.3×	8 0.3×	9	203
Haimonti Dutta India	7	36 0.6×	37 0.7×	13 0.4×	28 0.9×	39 1.3×	16	130
Jiyoun Lim South Korea	7	70 1.1×	126 2.4×	67 2.0×	12 0.4×	14 0.5×	24	272
Tu-Hoa Pham United States	4	9 0.1×	41 0.8×	35 1.1×	82 2.7×	18 0.6×	11	145
Julian Wolf Germany	9	31 0.5×	55 1.0×	31 0.9×	11 0.4×	48 1.6×	18	303

Countries citing papers authored by Jin-Young Choi

Since Specialization

Citations

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

Fields of papers citing papers by Jin-Young Choi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin-Young Choi. 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 Jin-Young Choi. The network helps show where Jin-Young Choi may publish in the future.

Co-authorship network of co-authors of Jin-Young Choi

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

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

Choi, Jin-Young, et al.. (2025). A Neural-Network-Based Statistical Compact Model Using a Variational Autoencoder for Emerging Transistors. IEEE Transactions on Electron Devices. 72(7). 3364–3370.

Choi, Jin-Young, et al.. (2024). Efficient Neural Network-Based Compact Modeling for Novel Device Structures Using a Multi-Fidelity Model and Active Learning. Electronics. 13(23). 4840–4840. 2 indexed citations

Choi, Jin-Young, et al.. (2024). MOBO-Driven Advanced Sub-3-nm Device Optimization for Enhanced PDP Performance. IEEE Transactions on Electron Devices. 71(5). 2881–2887. 6 indexed citations

Choi, Jin-Young, et al.. (2024). FIFO-Diffusion: Generating Infinite Videos from Text without Training. 89834–89868.

Choi, Jin-Young, et al.. (2024). Human Joint Angle Estimation Using Deep Learning-Based Three-Dimensional Human Pose Estimation for Application in a Real Environment. Sensors. 24(12). 3823–3823. 5 indexed citations

Choi, Jin-Young, et al.. (2023). Enhancement and Expansion of the Neural Network-Based Compact Model Using a Binning Method. IEEE Journal of the Electron Devices Society. 12. 65–73. 6 indexed citations

Kim, Jong-Wook, et al.. (2023). Human Pose Estimation Using MediaPipe Pose and Optimization Method Based on a Humanoid Model. Applied Sciences. 13(4). 2700–2700. 97 indexed citations breakdown →

Choi, Jin-Young, et al.. (2023). Fast and Expandable ANN-Based Compact Model and Parameter Extraction for Emerging Transistors. IEEE Journal of the Electron Devices Society. 11. 153–160. 23 indexed citations

Kim, Kang-Min, et al.. (2023). A new spatial data structure for triangular mesh with toroidal patches. Journal of King Saud University - Computer and Information Sciences. 36(1). 101891–101891.

10.

Choi, Jin-Young, et al.. (2022). Machine-Learning-Based Compact Modeling for Sub-3-nm-Node Emerging Transistors. Electronics. 11(17). 2761–2761. 18 indexed citations

11.

Kim, Do‐Gyun & Jin-Young Choi. (2021). Optimization of Design Parameters in LSTM Model for Predictive Maintenance. Applied Sciences. 11(14). 6450–6450. 9 indexed citations

12.

Choi, Jin-Young, et al.. (2020). Integrate Nature of Perpendicular Spin-Orbit-Torque Neuron Depending on Crystal Structure of Tungsten. ECS Meeting Abstracts. MA2020-02(31). 2043–2043. 1 indexed citations

13.

Kim, Sun-Jung, et al.. (2014). Recognizing the Direction of Action using Generalized 4D Features. Journal of Korean institute of intelligent systems. 24(5). 518–528.

14.

Choi, Jin-Young, et al.. (2010). Analysis of the impact of pupil shape variation by pupil fit modeling. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7640. 76400Y–76400Y. 2 indexed citations

15.

Park, Minwoo, Jin-Young Choi, Young-Ju Han, & Tai‐Myoung Chung. (2009). An Energy Efficient Concentric Clustering Scheme in Wireless Sensor Networks. 58–61. 9 indexed citations

16.

Choi, Jin-Young, et al.. (2008). A Clustering Method of Enhanced Tree Establishment in Wireless Sensor Networks. International Conference on Advanced Communication Technology. 1103–1107. 1 indexed citations

17.

Choi, Jin-Young, Sung-Min Jung, Young-Ju Han, & Tai‐Myoung Chung. (2008). Advanced Concentric-Clustering Routing Scheme Adapted to Large-Scale Sensor Networks. 366–371. 7 indexed citations

18.

Ji, Jeong‐Young, et al.. (2006). The Effects of Processing Parameters of Plasma Characteristics by Induced Coupled Plasma Source. 328–329. 1 indexed citations

19.

Choi, Jin-Young, et al.. (2006). Face Recognition System with SVDD-based Incremental Learning Scheme. 1(1). 66–72. 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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