Minhoe Kim

1.4k total citations
31 papers, 922 citations indexed

About

Minhoe Kim is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Minhoe Kim has authored 31 papers receiving a total of 922 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Electrical and Electronic Engineering, 11 papers in Computer Networks and Communications and 5 papers in Artificial Intelligence. Recurrent topics in Minhoe Kim's work include Advanced MIMO Systems Optimization (12 papers), Energy Harvesting in Wireless Networks (7 papers) and Cooperative Communication and Network Coding (6 papers). Minhoe Kim is often cited by papers focused on Advanced MIMO Systems Optimization (12 papers), Energy Harvesting in Wireless Networks (7 papers) and Cooperative Communication and Network Coding (6 papers). Minhoe Kim collaborates with scholars based in South Korea, France and United Kingdom. Minhoe Kim's co-authors include Woongsup Lee, Dong‐Ho Cho, Dongmin Lee, Ohyun Jo, Minchul Kim, Minho Park, Jaeseok Yang, Paul de Kerret, Kisong Lee and David Gesbert and has published in prestigious journals such as IEEE Communications Magazine, Sensors and IEEE Transactions on Vehicular Technology.

In The Last Decade

Minhoe Kim

25 papers receiving 901 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minhoe Kim South Korea 9 670 352 259 124 91 31 922
Kwonhue Choi South Korea 17 666 1.0× 421 1.2× 85 0.3× 98 0.8× 78 0.9× 127 868
Junsheng Mu China 16 426 0.6× 262 0.7× 207 0.8× 316 2.5× 98 1.1× 88 905
Mojtaba Vaezi United States 16 1.6k 2.4× 470 1.3× 116 0.4× 416 3.4× 32 0.4× 74 1.8k
Guo Wei China 15 347 0.5× 458 1.3× 197 0.8× 63 0.5× 41 0.5× 125 770
Xin‐Wei Yao China 15 348 0.5× 193 0.5× 56 0.2× 53 0.4× 86 0.9× 62 594
Leszek Raschkowski Germany 12 1.0k 1.6× 260 0.7× 87 0.3× 308 2.5× 61 0.7× 26 1.2k
Michael R. Souryal United States 16 729 1.1× 670 1.9× 104 0.4× 116 0.9× 63 0.7× 61 1.0k
Xinping Yi United Kingdom 16 623 0.9× 318 0.9× 288 1.1× 139 1.1× 64 0.7× 79 996
Wu Luo China 13 784 1.2× 433 1.2× 139 0.5× 623 5.0× 135 1.5× 56 1.2k

Countries citing papers authored by Minhoe Kim

Since Specialization
Citations

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

Fields of papers citing papers by Minhoe Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minhoe Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Minhoe Kim. A scholar is included among the top collaborators of Minhoe Kim 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 Minhoe Kim. Minhoe Kim 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.
Kim, Minhoe, et al.. (2025). Neurologic symptoms as a hallmark of glymphatic alteration in recovered patients with COVID-19. BMC Neurology. 25(1). 187–187. 2 indexed citations
2.
Park, Byoung-Jun, Pedro Porto Buarque de Gusmão, & Minhoe Kim. (2025). Improving Semi-Supervised Federated Learning with Limited Labeled Data via Adaptive Batchsize and Pseudo Labeling. 1–6.
3.
Kim, Minhoe, et al.. (2024). White matter tract density index is associated with disability in multiple sclerosis. Neurobiology of Disease. 198. 106548–106548. 1 indexed citations
4.
Kim, Minhoe & Woongsup Lee. (2023). Deep Spread Multiplexing and Study of Training Methods for DNN-Based Encoder and Decoder. Sensors. 23(8). 3848–3848.
5.
Kim, Minhoe, et al.. (2023). Bidirectional connectivity alterations in schizophrenia: a multivariate, machine-learning approach. Frontiers in Psychiatry. 14. 1232015–1232015. 3 indexed citations
6.
Kim, Minhoe, et al.. (2023). Multivariate prediction of long COVID headache in adolescents using gray matter structural MRI features. Frontiers in Human Neuroscience. 17. 1202103–1202103. 7 indexed citations
7.
8.
Lee, Dongmin & Minhoe Kim. (2021). Autonomous construction hoist system based on deep reinforcement learning in high-rise building construction. Automation in Construction. 128. 103737–103737. 37 indexed citations
9.
Lee, Woongsup, Minhoe Kim, & Dong‐Ho Cho. (2019). Deep Cooperative Sensing: Cooperative Spectrum Sensing Based on Convolutional Neural Networks. IEEE Transactions on Vehicular Technology. 68(3). 3005–3009. 179 indexed citations
10.
Kim, Minhoe, et al.. (2019). Toward the Realization of Encoder and Decoder Using Deep Neural Networks. IEEE Communications Magazine. 57(5). 57–63. 11 indexed citations
11.
Lee, Woongsup, Minhoe Kim, & Dong‐Ho Cho. (2018). Transmit Power Control Using Deep Neural Network for Underlay Device-to-Device Communication. Graduate School and Research Center in Digital Science (EURECOM). 1 indexed citations
12.
Kim, Minhoe, Paul de Kerret, & David Gesbert. (2018). Learning to Cooperate in Decentralized Wireless Networks. 2018 52nd Asilomar Conference on Signals, Systems, and Computers. 7 indexed citations
13.
Lee, Woongsup, Minhoe Kim, & Dong‐Ho Cho. (2018). Deep Learning Based Transmit Power Control in Underlaid Device-to-Device Communication. IEEE Systems Journal. 13(3). 2551–2554. 39 indexed citations
14.
Kim, Minhoe & Dong‐Ho Cho. (2017). 4-QAM gray coding for deep neural network based decoder training. 247–249. 1 indexed citations
15.
Kim, Minhoe, Woongsup Lee, & Dong‐Ho Cho. (2017). A Novel PAPR Reduction Scheme for OFDM System Based on Deep Learning. IEEE Communications Letters. 22(3). 510–513. 160 indexed citations
16.
Kim, Minhoe, Kisong Lee, & Dong‐Ho Cho. (2016). Proportional Fair Resource Allocation in Energy Harvesting-Based Wireless Networks. IEEE Systems Journal. 12(3). 2399–2402. 6 indexed citations
17.
Kim, Minhoe & Minho Park. (2015). Energy-Aware Virtual Machine Deployment Method for Cloud Computing. The Journal of Korean Institute of Communications and Information Sciences. 40(1). 61–69. 1 indexed citations
18.
Kim, Minhoe, et al.. (2015). Novel Single-RF MIMO System Based on Repetitive Pulse Width Modulation. IEEE Communications Letters. 20(1). 165–168. 6 indexed citations
19.
Kim, Minhoe, Souhwan Jung, & Minho Park. (2015). A Distributed Self-Organizing Map for DoS attack detection. 19–22. 4 indexed citations
20.
Lee, Kisong, Minhoe Kim, & Dong‐Ho Cho. (2015). Resource Management for Maximizing Simultaneous Transfer of Information and Power. The Journal of Korean Institute of Communications and Information Sciences. 40(8). 1560–1566.

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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