Jaehyuk Cho

104 total papers · 1.1k total citations
68 papers, 622 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 68 papers receiving a total of 622 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), Air Quality Monitoring and Forecasting (6 papers) and Artificial Intelligence in Healthcare (6 papers). Jaehyuk Cho is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), Air Quality Monitoring and Forecasting (6 papers) and Artificial Intelligence in Healthcare (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, Youngsuk Seo, Jae Gol Choe, Jae Seon Eo, H. Thameem Basha, Kisoo Pahk, Shaik Jakeer and Seethi Reddy Reddisekhar Reddy and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Jaehyuk Cho

55 papers receiving 602 citations

Hit Papers

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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jaehyuk Cho 117 113 110 97 70 68 622
Zhiyang Liu 81 0.7× 49 0.4× 67 0.6× 62 0.6× 36 0.5× 73 757
Umi Kalthum Ngah 212 1.8× 78 0.7× 43 0.4× 254 2.6× 25 0.4× 50 690
Ashima Singh 227 1.9× 110 1.0× 28 0.3× 130 1.3× 33 0.5× 57 771
Cheng Lian 175 1.5× 33 0.3× 47 0.4× 139 1.4× 63 0.9× 51 727
Pengyu Wang 95 0.8× 46 0.4× 136 1.2× 293 3.0× 40 0.6× 85 746
Yanbei Liu 199 1.7× 139 1.2× 41 0.4× 209 2.2× 34 0.5× 53 632
Liang Zhao 136 1.2× 102 0.9× 125 1.1× 318 3.3× 113 1.6× 47 672
Ahmad AA Alkhatib 91 0.8× 32 0.3× 182 1.7× 131 1.4× 35 0.5× 43 590
R. Dinesh Jackson Samuel 233 2.0× 83 0.7× 16 0.1× 166 1.7× 30 0.4× 32 633
Jian Wang 121 1.0× 87 0.8× 28 0.3× 76 0.8× 57 0.8× 47 693

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

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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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