Jaehyuk Cho

1.2k total citations · 1 hit paper
69 papers, 648 citations indexed

About

Jaehyuk Cho is a scholar working on Artificial Intelligence, Computer Networks and Communications and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jaehyuk Cho has authored 69 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 11 papers in Computer Networks and Communications and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jaehyuk Cho's work include Radiomics and Machine Learning in Medical Imaging (7 papers), Artificial Intelligence in Healthcare (6 papers) and Air Quality Monitoring and Forecasting (6 papers). Jaehyuk Cho is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), Artificial Intelligence in Healthcare (6 papers) and Air Quality Monitoring and Forecasting (6 papers). Jaehyuk Cho collaborates with scholars based in South Korea, India and Malaysia. Jaehyuk Cho's co-authors include V E Sathishkumar, Malliga Subramanian, Sungeun Kim, Jae Gol Choe, Jae Seon Eo, Youngsuk Seo, Seethi Reddy Reddisekhar Reddy, Kisoo Pahk, Shaik Jakeer and H. Thameem Basha and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Jaehyuk Cho

56 papers receiving 625 citations

Hit Papers

Forest fire and smoke det... 2023 2026 2024 2023 40 80 120
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.

  1. Forest fire and smoke detection using deep learning-based learning without forgetting
    2023 133 citations V E Sathishkumar, Jaehyuk Cho et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jaehyuk Cho South Korea 16 125 117 114 98 72 69 648
Zhiyang Liu China 13 81 0.6× 49 0.4× 68 0.6× 64 0.7× 36 0.5× 74 770
Umi Kalthum Ngah Malaysia 15 212 1.7× 78 0.7× 43 0.4× 254 2.6× 25 0.3× 50 690
Ahmad AA Alkhatib Jordan 12 92 0.7× 33 0.3× 188 1.6× 133 1.4× 35 0.5× 43 602
R. Dinesh Jackson Samuel India 12 237 1.9× 85 0.7× 16 0.1× 173 1.8× 31 0.4× 32 644
Radomír Goňo Czechia 17 243 1.9× 63 0.5× 107 0.9× 57 0.6× 25 0.3× 86 1.1k
Hua Ye China 13 147 1.2× 95 0.8× 33 0.3× 71 0.7× 24 0.3× 24 550
Stefano Marrone Italy 14 219 1.8× 137 1.2× 15 0.1× 61 0.6× 27 0.4× 54 620
Bo Jin China 14 183 1.5× 29 0.2× 17 0.1× 206 2.1× 34 0.5× 72 857

Countries citing papers authored by Jaehyuk Cho

Since Specialization
Citations

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

Fields of papers citing papers by Jaehyuk Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaehyuk Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Jaehyuk Cho. A scholar is included among the top collaborators of Jaehyuk Cho 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 Cho. Jaehyuk Cho 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.
Kande, Giri Babu, et al.. (2025). Multi scale multi attention network for blood vessel segmentation in fundus images. Scientific Reports. 15(1). 3438–3438. 4 indexed citations
2.
Subramanian, Malliga, et al.. (2025). Deep learning-driven methods for network-based intrusion detection systems: A systematic review. ICT Express. 11(1). 181–215. 9 indexed citations
3.
Anandan, P., et al.. (2025). IoT-driven cancer prediction: Leveraging AI for early detection of protein structure variations. Alexandria Engineering Journal. 118. 21–35. 1 indexed citations
4.
Jakeer, Shaik, Seethi Reddy Reddisekhar Reddy, H. Thameem Basha, Jaehyuk Cho, & V E Sathishkumar. (2025). Activation energy and Coriolis force impact on three-dimensional dusty nanofluid flow containing gyrotactic microorganisms: Machine learning and numerical approach. Nanotechnology Reviews. 14(1). 3 indexed citations
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Cho, Jaehyuk, et al.. (2024). Bidirectional recurrent neural network approach for predicting cervical cancer recurrence and survival. Scientific Reports. 14(1). 31641–31641. 2 indexed citations
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Cho, Jaehyuk, et al.. (2024). Integrating cat boost algorithm with triangulating feature importance to predict survival outcome in recurrent cervical cancer. Scientific Reports. 14(1). 19828–19828. 11 indexed citations
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Cho, Jaehyuk, et al.. (2024). A comprehensive review of sensor node deployment strategies for maximized coverage and energy efficiency in wireless sensor networks. PeerJ Computer Science. 10. e2407–e2407. 2 indexed citations
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Shanmugavadivel, Kogilavani, et al.. (2024). A Review of Datasets, Optimization Strategies, and Learning Algorithms for Analyzing Alzheimer’s Dementia Detection. Neuropsychiatric Disease and Treatment. Volume 20. 2203–2225.
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Shanmugavadivel, Kogilavani, et al.. (2023). Detecting homophobic and transphobic texts from youtube comments using machine learning models. Applied and Computational Engineering. 6(1). 952–961. 1 indexed citations
15.
Sathishkumar, V E, et al.. (2023). Learning without forgetting by leveraging transfer learning for detecting COVID-19 infection from CT images. Scientific Reports. 13(1). 8516–8516. 8 indexed citations
16.
Cho, Jaehyuk, et al.. (2023). Enhancing Sustainable Transportation: AI-Driven Bike Demand Forecasting in Smart Cities. Sustainability. 15(18). 13840–13840. 4 indexed citations
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Bhanumathi, V., et al.. (2021). Multi-Objective Function-Based Node-Disjoint Multipath Routing for Mobile Ad Hoc Networks. Electronics. 10(15). 1781–1781. 12 indexed citations
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Cho, Jaehyuk. (2020). A Study on the Internalization of Sensor Technology by Comparison of IT Leading Countries. Journal of Internet Computing and services. 21(3). 61–70.
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Pahk, Kisoo, et al.. (2013). The Clinical Role of Dual-Time-Point 18F-FDG PET/CT in Differential Diagnosis of the Thyroid Incidentaloma. Nuclear Medicine and Molecular Imaging. 48(2). 121–129. 19 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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