Jae‐Mo Kang

2.6k total citations · 1 hit paper
123 papers, 1.7k citations indexed

About

Jae‐Mo Kang is a scholar working on Electrical and Electronic Engineering, Civil and Structural Engineering and Artificial Intelligence. According to data from OpenAlex, Jae‐Mo Kang has authored 123 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Electrical and Electronic Engineering, 25 papers in Civil and Structural Engineering and 25 papers in Artificial Intelligence. Recurrent topics in Jae‐Mo Kang's work include Advanced MIMO Systems Optimization (33 papers), Energy Harvesting in Wireless Networks (26 papers) and Advanced Wireless Communication Technologies (14 papers). Jae‐Mo Kang is often cited by papers focused on Advanced MIMO Systems Optimization (33 papers), Energy Harvesting in Wireless Networks (26 papers) and Advanced Wireless Communication Technologies (14 papers). Jae‐Mo Kang collaborates with scholars based in South Korea, Canada and China. Jae‐Mo Kang's co-authors include Il‐Min Kim, Chang-Jae Chun, Dong In Kim, Hasnain Ali Shah, Sangseok Yun, Jun‐Hyun Park, Anand Paul, P.B. Butler, M.R. Baer and Hyung-Myung Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Applied Energy.

In The Last Decade

Jae‐Mo Kang

111 papers receiving 1.7k 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.

A Robust Approach for Brain Tumor Detection in Magnetic Resonance Images Using Finetuned EfficientNet

2022 177 citations Hasnain Ali Shah, Sangseok Yun et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jae‐Mo Kang South Korea	21	924	387	301	224	203	123	1.7k
Kewen Xia China	20	258 0.3×	353 0.9×	150 0.5×	131 0.6×	272 1.3×	126	1.3k
Hao Yu China	26	1.5k 1.6×	480 1.2×	126 0.4×	121 0.5×	150 0.7×	105	2.5k
Jiexiong Tang Sweden	7	358 0.4×	972 2.5×	291 1.0×	73 0.3×	600 3.0×	8	1.8k
Yinggao Yue China	20	354 0.4×	357 0.9×	119 0.4×	434 1.9×	138 0.7×	53	1.2k
A. Immanuel Selvakumar India	19	2.0k 2.1×	601 1.6×	414 1.4×	66 0.3×	59 0.3×	65	2.7k
Sungho Kim South Korea	21	510 0.6×	170 0.4×	876 2.9×	123 0.5×	409 2.0×	178	1.7k
Tareq M. Shami United Kingdom	10	307 0.3×	281 0.7×	107 0.4×	157 0.7×	105 0.5×	20	952
Paolo Sommella Italy	22	205 0.2×	281 0.7×	107 0.4×	154 0.7×	150 0.7×	117	1.3k
Haikun Wei China	22	807 0.9×	682 1.8×	176 0.6×	41 0.2×	260 1.3×	165	1.9k

Countries citing papers authored by Jae‐Mo Kang

Since Specialization

Citations

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

Fields of papers citing papers by Jae‐Mo Kang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae‐Mo Kang. 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 Jae‐Mo Kang. The network helps show where Jae‐Mo Kang may publish in the future.

Co-authorship network of co-authors of Jae‐Mo Kang

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

All Works

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20 of 20 papers shown

Kang, Jae‐Mo. (2025). NMAP-Net: Deep-Learning-Aided Near-Field Multibeamforming Design and Antenna Position Optimization for XL-MIMO Communications. IEEE Internet of Things Journal. 12(11). 18397–18413. 3 indexed citations

Kang, Jae‐Mo, et al.. (2025). AI-Based Damage Risk Prediction Model Development Using Urban Heat Transport Pipeline Attribute Information. Applied Sciences. 15(14). 8003–8003.

Kang, Jae‐Mo, et al.. (2025). Joint Antenna Selection and Transmit Power Optimization for UAV-Assisted Relaying in Cognitive Radio IoT Networks. Mathematics. 13(21). 3540–3540.

Saeed, Faisal, et al.. (2025). Generative-Diffusion-Model-Based Deep-Learning Framework for Remaining Useful Life Prediction. IEEE Internet of Things Journal. 12(11). 18431–18434. 2 indexed citations

Kang, Jae‐Mo, Sangseok Yun, & Il‐Min Kim. (2025). CaMPASS-Net: A Deep Learning Framework on Capacity Maximization for MIMO Pinching Antenna Systems in IoT. IEEE Internet of Things Journal. 12(21). 45917–45920.

Shah, Hasnain Ali, et al.. (2024). ECG‐TransCovNet: A hybrid transformer model for accurate arrhythmia detection using Electrocardiogram signals. CAAI Transactions on Intelligence Technology. 11 indexed citations

Shah, Hasnain Ali, et al.. (2024). SmartFormer: Graph-based transformer model for energy load forecasting. Sustainable Energy Technologies and Assessments. 73. 104133–104133. 6 indexed citations

Yun, Sangseok, et al.. (2023). Redundancy Management in Federated Learning for Fast Communication. IEEE Transactions on Communications. 71(11). 6332–6347. 3 indexed citations

Kang, Jae‐Mo, et al.. (2023). A Study on Factors Influencing Ground Subsidence and a Risk Analysis Method Using the Attributes of Sewer Pipes. Applied Sciences. 13(17). 9714–9714. 1 indexed citations

10.

Kang, Jae‐Mo, et al.. (2023). Efficiency Study of Combined UAS Photogrammetry and Terrestrial LiDAR in 3D Modeling for Maintenance and Management of Fill Dams. Remote Sensing. 15(8). 2026–2026. 5 indexed citations

11.

Park, Jun‐Hyun, et al.. (2022). AMFM: AugMix-empowered FixMatch for High-Performing Semi-Supervised Classification of Metal Surface Defects. Journal of Korean institute of intelligent systems. 32(5). 424–431.

12.

Kang, Jae‐Mo, et al.. (2022). YOLO-Based Detection of Metal Surface Defects. Journal of Korean institute of intelligent systems. 32(4). 275–285. 2 indexed citations

13.

Shah, Hasnain Ali, et al.. (2022). Deep Learning Ensemble-Based Automated and High-Performing Recognition of Coffee Leaf Disease. Agriculture. 12(11). 1909–1909. 37 indexed citations

14.

Kim, Jin‐Young, et al.. (2022). Comparison of Performance of Machine Learning Models for Predicting Compression Index Based on Clay Properties. Korean Society of Hazard Mitigation. 22(4). 127–134. 1 indexed citations

15.

Yun, Sangseok, et al.. (2021). Deep Learning-Based Ground Vibration Monitoring: Reinforcement Learning and RNN–CNN Approach. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 5 indexed citations

16.

Lee, Seung Tae, et al.. (2021). Effect of Freeze–Thaw Cycles on the Performance of Concrete Containing Water-Cooled and Air-Cooled Slag. Applied Sciences. 11(16). 7291–7291. 8 indexed citations

17.

Yun, Sangseok, Jae‐Mo Kang, Il‐Min Kim, & Jeongseok Ha. (2020). Deep Artificial Noise: Deep Learning-Based Precoding Optimization for Artificial Noise Scheme. IEEE Transactions on Vehicular Technology. 69(3). 3465–3469. 24 indexed citations

18.

Park, Duhee, et al.. (2017). Evaluation of Spudcan Penetration/Extraction Behavior in Uniform Sand and Clay. Journal of the Korean Geotechnical Society. 33(3). 17–28. 1 indexed citations

19.

Kim, Jinyoung, et al.. (2017). Ground Subsidence Mechanism by Ground Water Level and Fine Contents. Journal of The Korean Society of Agricultural Engineers. 59(5). 83–91. 2 indexed citations

20.

Kim, Jin‐Young, Jae‐Mo Kang, Chang Ho Choi, & Duhee Park. (2017). Correlation Analysis of Sewer Integrity and Ground Subsidence. Journal of the Korean geoenvironmental society. 18(6). 31–37. 7 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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