Xuemin Hong

2.3k total citations
78 papers, 1.7k citations indexed

About

Xuemin Hong is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xuemin Hong has authored 78 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Electrical and Electronic Engineering, 45 papers in Computer Networks and Communications and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xuemin Hong's work include Advanced MIMO Systems Optimization (26 papers), Cooperative Communication and Network Coding (17 papers) and Cognitive Radio Networks and Spectrum Sensing (16 papers). Xuemin Hong is often cited by papers focused on Advanced MIMO Systems Optimization (26 papers), Cooperative Communication and Network Coding (17 papers) and Cognitive Radio Networks and Spectrum Sensing (16 papers). Xuemin Hong collaborates with scholars based in China, United Kingdom and Canada. Xuemin Hong's co-authors include Cheng‐Xiang Wang, Xiaohu Ge, Jianghong Shi, Xiang Cheng, Jing Wang, John Thompson, John Thompson, Sergiy A. Vorobyov, Gong Zhang and Yang Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Membrane Science and IEEE Transactions on Signal Processing.

In The Last Decade

Xuemin Hong

76 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xuemin Hong China 17 1.3k 1.1k 164 93 86 78 1.7k
Aiping Huang China 25 1.6k 1.3× 1.5k 1.3× 103 0.6× 118 1.3× 86 1.0× 148 2.0k
Wibowo Hardjawana Australia 17 998 0.8× 835 0.7× 190 1.2× 135 1.5× 63 0.7× 76 1.4k
Xianzhong Xie China 19 1.0k 0.8× 733 0.6× 176 1.1× 162 1.7× 117 1.4× 158 1.5k
Andreas Mitschele‐Thiel Germany 16 1.2k 0.9× 1.2k 1.1× 217 1.3× 109 1.2× 98 1.1× 150 1.7k
Stefania Sesia France 7 1.9k 1.5× 1.4k 1.2× 132 0.8× 77 0.8× 61 0.7× 20 2.1k
Marina Petrova Germany 23 1.2k 1.0× 1.1k 1.0× 243 1.5× 99 1.1× 61 0.7× 133 1.8k
Yunjian Jia China 22 905 0.7× 1.1k 0.9× 161 1.0× 153 1.6× 115 1.3× 137 1.6k
Xiangwei Zhou United States 23 1.3k 1.0× 1.1k 1.0× 206 1.3× 123 1.3× 28 0.3× 97 1.7k
José F. Monserrat Spain 18 1.2k 0.9× 798 0.7× 171 1.0× 79 0.8× 62 0.7× 136 1.5k
Chungang Yang China 23 1.2k 0.9× 1.2k 1.1× 330 2.0× 104 1.1× 65 0.8× 127 1.8k

Countries citing papers authored by Xuemin Hong

Since Specialization
Citations

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

Fields of papers citing papers by Xuemin Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuemin Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Xuemin Hong. A scholar is included among the top collaborators of Xuemin Hong 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 Xuemin Hong. Xuemin Hong 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.
Hong, Xuemin, et al.. (2024). Energy efficient multi-user task offloading through active RIS with hybrid TDMA-NOMA transmission. Journal of Network and Computer Applications. 232. 104005–104005. 1 indexed citations
2.
Hong, Xuemin, et al.. (2024). Energy saving computation offloading for dynamic CR-MEC systems with NOMA via decomposition based soft actor–critic. Expert Systems with Applications. 255. 124455–124455. 4 indexed citations
3.
Liu, Sicong, et al.. (2024). Classification-Driven Discrete Neural Representation Learning for Semantic Communications. IEEE Internet of Things Journal. 11(9). 16061–16073. 4 indexed citations
4.
Mota, João F. C., et al.. (2024). The Rate-Distortion-Perception-Classification Tradeoff: Joint Source Coding and Modulation via Inverse-Domain GANs. IEEE Transactions on Signal Processing. 72. 3076–3090. 2 indexed citations
5.
Hong, Xuemin, et al.. (2024). DRL-Assisted Resource Allocation for Noncompletely Overlapping NOMA-Based Dynamic MEC Systems. IEEE Internet of Things Journal. 11(9). 16103–16118. 5 indexed citations
6.
Hong, Xuemin, et al.. (2023). Conditional Encoder-Based Adaptive Deep Image Compression with Classification-Driven Semantic Awareness. Electronics. 12(13). 2781–2781. 2 indexed citations
7.
Hong, Xuemin, et al.. (2023). Double RISs assisted task offloading for NOMA-MEC with action-constrained deep reinforcement learning. Knowledge-Based Systems. 284. 111307–111307. 7 indexed citations
8.
Zhang, Zhenbo, et al.. (2023). Cost Minimization for Energy-Constrained Partial Offloading in Cognitive Capacity Harvesting Networks. IEEE Systems Journal. 1–13. 1 indexed citations
9.
Hong, Xuemin, et al.. (2023). Learning-Assisted Partial Offloading for Dynamic NOMA-MEC Systems With Imperfect SIC and Reconfiguration Energy Cost. IEEE Internet of Things Journal. 10(22). 20134–20148. 14 indexed citations
10.
Hong, Xuemin, et al.. (2023). Learning-Assisted Energy Minimization for MEC Systems With Noncompletely Overlapping NOMA. IEEE Systems Journal. 1–12. 5 indexed citations
11.
Chen, Linlin, Xiaofang Wu, Xin Wang, et al.. (2021). Performance Tradeoff Analysis of Hybrid Signaling SWIPT Systems with Nonlinear Power Amplifiers. Electronics. 10(11). 1364–1364. 2 indexed citations
12.
Duan, Dongliang, et al.. (2020). One-Class Classifier Based Fault Detection in Distribution Systems With Varying Penetration Levels of Distributed Energy Resources. IEEE Access. 8. 130023–130035. 15 indexed citations
13.
Duan, Dongliang, et al.. (2020). Data-Driven Fault Localization in Distribution Systems with Distributed Energy Resources. Energies. 13(1). 275–275. 11 indexed citations
14.
Chen, Haipeng, et al.. (2019). A Flexible Approach for Human Activity Recognition Based on Broad Learning System. 368–373. 8 indexed citations
15.
Hong, Xuemin, et al.. (2018). Capacity and Delay Tradeoff of Secondary Cellular Networks With Spectrum Aggregation. IEEE Transactions on Wireless Communications. 17(6). 3974–3987. 6 indexed citations
16.
Liu, Chen, et al.. (2016). Uplink capacity-delay trade-off in hybrid cellular D2D networks with user collaboration. Wireless Personal Multimedia Communications. 470–475. 2 indexed citations
17.
Hong, Xuemin, et al.. (2012). The UC4G wireless MIMO testbed. 4368–4373. 2 indexed citations
18.
Zhang, Wuxiong, Yu Chen, Yang Yang, et al.. (2012). Multi-Hop Connectivity Probability in Infrastructure-Based Vehicular Networks. IEEE Journal on Selected Areas in Communications. 30(4). 740–747. 99 indexed citations
19.
Wang, Cheng‐Xiang, Xuemin Hong, John Thompson, et al.. (2012). Aggregate Interference Modeling in Cognitive Radio Networks with Power and Contention Control. IEEE Transactions on Communications. 60(2). 456–468. 71 indexed citations
20.
Hong, Xuemin, et al.. (2009). Interference Cancellation for Cognitive Radio Networks. IEEE Vehicular Technology Magazine. 76–84. 2 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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