Yung-Cheol Byun

4.5k total citations
158 papers, 2.8k citations indexed

About

Yung-Cheol Byun is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Yung-Cheol Byun has authored 158 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Vision and Pattern Recognition, 36 papers in Electrical and Electronic Engineering and 32 papers in Information Systems. Recurrent topics in Yung-Cheol Byun's work include Blockchain Technology Applications and Security (17 papers), Advanced Battery Technologies Research (14 papers) and Energy Load and Power Forecasting (12 papers). Yung-Cheol Byun is often cited by papers focused on Blockchain Technology Applications and Security (17 papers), Advanced Battery Technologies Research (14 papers) and Energy Load and Power Forecasting (12 papers). Yung-Cheol Byun collaborates with scholars based in South Korea, Philippines and India. Yung-Cheol Byun's co-authors include Zeinab Shahbazi, Prince Waqas Khan, Sadiqa Jafari, Namje Park, Debapriya Hazra, Amreen Batool, Subhajit Chatterjee, Sang-Joon Lee, Sang-Joon Lee and Debnath Bhattacharyya and has published in prestigious journals such as International Journal of Molecular Sciences, IEEE Access and Energy.

In The Last Decade

Yung-Cheol Byun

149 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yung-Cheol Byun South Korea 29 701 674 596 442 381 158 2.8k
Priyan Malarvizhi Kumar India 32 739 1.1× 523 0.8× 803 1.3× 574 1.3× 1.1k 2.8× 131 3.4k
Moez Krichen Tunisia 31 819 1.2× 471 0.7× 808 1.4× 355 0.8× 870 2.3× 165 3.2k
B. D. Parameshachari India 32 376 0.5× 608 0.9× 631 1.1× 566 1.3× 447 1.2× 162 2.7k
Ashutosh Sharma India 35 894 1.3× 585 0.9× 763 1.3× 404 0.9× 928 2.4× 134 3.5k
Rongfang Bie China 28 586 0.8× 651 1.0× 885 1.5× 642 1.5× 899 2.4× 174 3.2k
Xiao‐Zhi Gao Finland 33 276 0.4× 674 1.0× 1.7k 2.9× 671 1.5× 405 1.1× 185 4.3k
Ahmed Alkhayyat Iraq 29 559 0.8× 863 1.3× 676 1.1× 533 1.2× 1.0k 2.7× 419 3.4k
V. Vijayakumar India 35 1.1k 1.6× 721 1.1× 1000 1.7× 682 1.5× 1.0k 2.7× 172 3.9k
Bhekisipho Twala South Africa 25 516 0.7× 520 0.8× 768 1.3× 235 0.5× 222 0.6× 153 2.6k
Bin Cao China 28 522 0.7× 872 1.3× 1.3k 2.3× 333 0.8× 1.1k 2.8× 89 3.5k

Countries citing papers authored by Yung-Cheol Byun

Since Specialization
Citations

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

Fields of papers citing papers by Yung-Cheol Byun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yung-Cheol Byun. 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 Yung-Cheol Byun. The network helps show where Yung-Cheol Byun may publish in the future.

Co-authorship network of co-authors of Yung-Cheol Byun

This figure shows the co-authorship network connecting the top 25 collaborators of Yung-Cheol Byun. A scholar is included among the top collaborators of Yung-Cheol Byun 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 Yung-Cheol Byun. Yung-Cheol Byun 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.
Jafari, Sadiqa & Yung-Cheol Byun. (2025). Interpretable AI for explaining and predicting battery state of health using PSO-enhanced deep learning models. Energy Reports. 14. 1779–1798. 2 indexed citations
2.
Batool, Amreen & Yung-Cheol Byun. (2025). Revolutionizing plant disease diagnosis through vision-based intelligence and next-generation computing. Computers & Electrical Engineering. 128. 110695–110695.
3.
4.
Batool, Amreen, et al.. (2025). A Robust Deep Learning Framework for Mitigating Label Noise With Dual Selective Attention. IEEE Access. 13. 115604–115626. 1 indexed citations
5.
Batool, Amreen, Ji‐Soo Kim, & Yung-Cheol Byun. (2025). A compact deep learning approach integrating depthwise convolutions and spatial attention for plant disease classification. Plant Methods. 21(1). 48–48. 3 indexed citations
6.
Jafari, Sadiqa, Jisoo Kim, & Yung-Cheol Byun. (2024). A novel fusion-based deep learning approach with PSO and explainable AI for batteries State of Charge estimation in Electric Vehicles. Energy Reports. 12. 3364–3385. 2 indexed citations
7.
Batool, Amreen & Yung-Cheol Byun. (2024). Brain tumor detection with integrating traditional and computational intelligence approaches across diverse imaging modalities - Challenges and future directions. Computers in Biology and Medicine. 175. 108412–108412. 33 indexed citations
8.
Jafari, Sadiqa, et al.. (2024). Optimized XGBoost modeling for accurate battery capacity degradation prediction. Results in Engineering. 24. 102786–102786. 27 indexed citations
9.
Chatterjee, Subhajit, Hyu‐Soung Shin, Joon‐Min Gil, & Yung-Cheol Byun. (2024). RoadSitu: Leveraging road video frame extraction and three-stage transformers for situation recognition. Results in Engineering. 24. 103197–103197.
10.
Chatterjee, Subhajit & Yung-Cheol Byun. (2023). A Synthetic Data Generation Technique for Enhancement of Prediction Accuracy of Electric Vehicles Demand. Sensors. 23(2). 594–594. 18 indexed citations
11.
Bhattacharyya, Debnath, Eali Stephen Neal Joshua, N. Thirupathi Rao, & Yung-Cheol Byun. (2023). Lung Cancer Segmentation with Three-Parameter Logistic Type Distribution燤odel. Computers, materials & continua/Computers, materials & continua (Print). 75(1). 1447–1465.
12.
Althuwayb, Ayman A., Nasr Rashid, Khaled Kaâniche, et al.. (2023). Design and performance evaluation of a novel metamaterial broadband THz filter for 6G applications. Frontiers in Materials. 10. 8 indexed citations
13.
Batool, Amreen & Yung-Cheol Byun. (2023). Lightweight EfficientNetB3 Model Based on Depthwise Separable Convolutions for Enhancing Classification of Leukemia White Blood Cell Images. IEEE Access. 11. 37203–37215. 52 indexed citations
14.
Jafari, Sadiqa, Zeinab Shahbazi, & Yung-Cheol Byun. (2022). Designing the Controller-Based Urban Traffic Evaluation and Prediction Using Model Predictive Approach. Applied Sciences. 12(4). 1992–1992. 12 indexed citations
15.
Khan, Prince Waqas, et al.. (2022). Electric Kickboard Demand Prediction in Spatiotemporal Dimension Using Clustering-Aided Bagging Regressor. Journal of Advanced Transportation. 2022. 1–15. 7 indexed citations
16.
Byun, Yung-Cheol, et al.. (2021). Hybrid Ensemble Deep Learning-Based Approach for Time Series Energy Prediction. Symmetry. 13(10). 1942–1942. 27 indexed citations
17.
Kim, Yong‐Woon, Yung-Cheol Byun, Addepalli V. N. Krishna, & K. Balachandran. (2021). Selfie Segmentation in Video Using N-Frames Ensemble. IEEE Access. 9. 163348–163362. 5 indexed citations
18.
Khan, Prince Waqas, et al.. (2020). PERFORMANCE ENHANCEMENT THROUGH COMMUNICATION OFFLOADING FOR ENERGY EFFICIENCY ON MOBILE CLOUD COMPUTATION. International journal of scientific and technology research. 9(10). 186–194. 1 indexed citations
19.
Byun, Yung-Cheol, et al.. (2008). A method of sensor data stream processing based on RFID middleware. The Journal of the Korean Institute of Information and Communication Engineering. 12(2). 231–239.
20.
Byun, Yung-Cheol, et al.. (2007). A Design and Implementation of ALE-compliant RFID Middleware System. The Journal of the Korean Institute of Information and Communication Engineering. 11(4). 648–655. 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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