Jaehyuk Cha

1.8k total citations
86 papers, 1.2k citations indexed

About

Jaehyuk Cha is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jaehyuk Cha has authored 86 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Networks and Communications, 19 papers in Artificial Intelligence and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jaehyuk Cha's work include Advanced Data Storage Technologies (17 papers), Caching and Content Delivery (14 papers) and Diverse Approaches in Healthcare and Education Studies (9 papers). Jaehyuk Cha is often cited by papers focused on Advanced Data Storage Technologies (17 papers), Caching and Content Delivery (14 papers) and Diverse Approaches in Healthcare and Education Studies (9 papers). Jaehyuk Cha collaborates with scholars based in South Korea, Pakistan and Saudi Arabia. Jaehyuk Cha's co-authors include Sooyong Kang, Muhammad Attique Khan, Usman Tariq, Hwan-Seung Yong, Sung‐Min Park, Muhammad Sharif, Samuel P. Kozaitis, Sungroh Yoon, Youjip Won and Jongmoo Choi and has published in prestigious journals such as Scientific Reports, Neuroscience and IEEE Access.

In The Last Decade

Jaehyuk Cha

69 papers receiving 1.1k citations

Peers

Jaehyuk Cha

CNC

CVPR

RNMI

S. Ravi India

Wei Hu China

Monika Sachdeva India

Atef Zaguia Saudi Arabia

Samir Elmougy Egypt

Khondokar Fida Hasan Australia

Md. Alamin Talukder Bangladesh

Sultan H. Almotiri Saudi Arabia

Norah Saleh Alghamdi Saudi Arabia

Juan Chen China

S. Ravi India

Jaehyuk Cha

345 ×0.9

CNC

498 ×1.7

330 ×1.5

CVPR

170 ×0.8

RNMI

100 ×0.6

Citations per year, relative to Jaehyuk Cha Jaehyuk Cha (= 1×) peers S. Ravi

Countries citing papers authored by Jaehyuk Cha

Since Specialization

Citations

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

Fields of papers citing papers by Jaehyuk Cha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaehyuk Cha

This figure shows the co-authorship network connecting the top 25 collaborators of Jaehyuk Cha. A scholar is included among the top collaborators of Jaehyuk Cha 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 Jaehyuk Cha. Jaehyuk Cha 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:

20 of 20 papers shown

Cha, Jaehyuk, et al.. (2025). Novel Synthetic Dataset Generation Method with Privacy-Preserving for Intrusion Detection System. Applied Sciences. 15(19). 10609–10609.

Cha, Jaehyuk, et al.. (2025). Context-dependent memory in the real world: the role of frequency and context dwell time. Frontiers in Psychology. 15. 1489039–1489039.

Cha, Jaehyuk, et al.. (2024). Transportation Mode Detection Technology to Predict Wheelchair Users' Life Satisfaction in Seoul, South Korea. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 8(1). 1–20. 5 indexed citations

Cha, Jaehyuk, et al.. (2024). Data Placement Through Clustering Sequential Writes and Isolating Cold Pages for Write Amplification Reduction in NAND Flash Memory. IEEE Access. 12. 142265–142274.

Cha, Jaehyuk, et al.. (2024). A framework of transportation mode detection for people with mobility disability. Journal of Intelligent Transportation Systems. 29(5). 518–533. 4 indexed citations

Nawaz, Marriam, Tahira Nazir, Jamel Baili, et al.. (2023). CXray-EffDet: Chest Disease Detection and Classification from X-ray Images Using the EfficientDet Model. Diagnostics. 13(2). 248–248. 33 indexed citations

Khan, Muhammad Attique, et al.. (2023). Human Gait Recognition Based on Sequential Deep Learning and Best Features Selection. Computers, materials & continua/Computers, materials & continua (Print). 75(3). 5123–5140. 6 indexed citations

Arshad, Quratulain, Mudassar Raza, Wazir Zada Khan, et al.. (2023). Anomalous Situations Recognition in Surveillance Images Using Deep Learning. Computers, materials & continua/Computers, materials & continua (Print). 76(1). 1103–1125. 6 indexed citations

Kim, Hansung, et al.. (2023). User and Period Independent Transportation Mode Detection for Wheelchair Users. IEEE Access. 11. 10801–10812. 5 indexed citations

10.

Madni, Tahir Mustafa, Uzair Iqbal Janjua, Umer Javed, et al.. (2023). 3D Kronecker Convolutional Feature Pyramid for Brain Tumor Semantic Segmentation in MR Imaging. Computers, materials & continua/Computers, materials & continua (Print). 76(3). 2861–2877. 5 indexed citations

11.

Cha, Jaehyuk, et al.. (2023). A WebExtension framework for experimentation and evaluation of webpage segmentation methods. SoftwareX. 23. 101501–101501. 1 indexed citations

12.

Cha, Jaehyuk, Tian Chen, & Kyung-Ro Chang. (2023). A Study of the Continuous Use Intention of Interactive Exercise Games : Application of the Value-Based Acceptance Model. 28(3). 56–73. 1 indexed citations

13.

Almadhor, Ahmad, Gabriel Avelino Sampedro, Mideth Abisado, et al.. (2023). Wrist-Based Electrodermal Activity Monitoring for Stress Detection Using Federated Learning. Sensors. 23(8). 3984–3984. 17 indexed citations

14.

Haseeb, Abdul, et al.. (2023). Knee Osteoarthritis Classification Using X-Ray Images Based on Optimal Deep Neural Network. Computer Systems Science and Engineering. 47(2). 2397–2415. 9 indexed citations

15.

Kim, Hansung, et al.. (2022). Extracting the Main Content of Web Pages Using the First Impression Area. IEEE Access. 10. 129958–129969. 1 indexed citations

16.

Afza, Farhat, Muhammad Sharif, Muhammad Attique Khan, et al.. (2022). Multiclass Skin Lesion Classification Using Hybrid Deep Features Selection and Extreme Learning Machine. Sensors. 22(3). 799–799. 100 indexed citations

17.

Cha, Jaehyuk. (2021). The Effect of UI Usability of Mobile Healthcare Applications on Technostress and Continuous Use Intention: Focusing on Elderly Users. Journal of Digital Convergence. 19(5). 295–305. 3 indexed citations

18.

Cha, Jaehyuk, et al.. (2015). Evaluation on the Economic Value of Instant Replay System in Korean Professional Baseball League Using Contingent Valuation Method. 한국스포츠산업경영학회지. 20(3). 1–12. 1 indexed citations

19.

Cha, Jaehyuk, et al.. (2014). Does Competitive Balance Effects on Attendance Increase in Korean Professional Baseball League. 한국스포츠산업경영학회지. 19(6). 17–27. 1 indexed citations

20.

Chang, Byung‐Chul, et al.. (2006). The KEM OWL Binding. Journal of Digital Contents Society. 7(2). 125–131. 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.

Explore authors with similar magnitude of impact