Meng Qin

1.2k total citations
55 papers, 873 citations indexed

About

Meng Qin is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Meng Qin has authored 55 papers receiving a total of 873 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Electrical and Electronic Engineering, 29 papers in Computer Networks and Communications and 7 papers in Artificial Intelligence. Recurrent topics in Meng Qin's work include Advanced MIMO Systems Optimization (16 papers), IoT and Edge/Fog Computing (13 papers) and IoT Networks and Protocols (9 papers). Meng Qin is often cited by papers focused on Advanced MIMO Systems Optimization (16 papers), IoT and Edge/Fog Computing (13 papers) and IoT Networks and Protocols (9 papers). Meng Qin collaborates with scholars based in China, South Korea and United States. Meng Qin's co-authors include Kai Lei, Nan Cheng, Qinghai Yang, Tingting Yang, Gong Zhang, Bo Bai, Kyung Sup Kwak, Ramesh R. Rao, Min Yang and Xuemin Shen and has published in prestigious journals such as IEEE Transactions on Communications, Information Sciences and IEEE Transactions on Wireless Communications.

In The Last Decade

Meng Qin

52 papers receiving 849 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meng Qin China 15 497 294 226 161 119 55 873
Cong Liu United States 17 282 0.6× 230 0.8× 139 0.6× 112 0.7× 99 0.8× 41 844
Honghai Wu China 17 424 0.9× 247 0.8× 268 1.2× 61 0.4× 144 1.2× 85 902
Ling Xing China 15 405 0.8× 310 1.1× 285 1.3× 57 0.4× 157 1.3× 105 830
Weisheng Si Australia 15 1.0k 2.0× 323 1.1× 153 0.7× 114 0.7× 349 2.9× 48 1.3k
Hong Luo China 21 892 1.8× 556 1.9× 179 0.8× 51 0.3× 238 2.0× 113 1.4k
Ricardo Lent United States 18 836 1.7× 307 1.0× 141 0.6× 24 0.1× 224 1.9× 94 1.1k
Daoxu Chen China 19 765 1.5× 460 1.6× 162 0.7× 39 0.2× 477 4.0× 118 1.4k
Laisen Nie China 20 717 1.4× 360 1.2× 498 2.2× 17 0.1× 165 1.4× 48 1.2k
Javad Akbari Torkestani Iran 23 1.1k 2.1× 270 0.9× 255 1.1× 49 0.3× 209 1.8× 75 1.3k
Fanzi Zeng China 16 609 1.2× 479 1.6× 264 1.2× 21 0.1× 95 0.8× 35 1.2k

Countries citing papers authored by Meng Qin

Since Specialization
Citations

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

Fields of papers citing papers by Meng Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Meng Qin. A scholar is included among the top collaborators of Meng Qin 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 Meng Qin. Meng Qin 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.
Qin, Meng, et al.. (2025). Self-Sustaining Enabled User-Centric 6G Framework With Intelligence: Network-in-Cloud. IEEE Wireless Communications. 33(2). 92–100.
2.
Qin, Meng, et al.. (2025). A Cybertwin-Enabled Multipath Transmission Scheme in Cloud Native Networks. IEEE Transactions on Mobile Computing. 24(8). 7584–7599.
3.
Qin, Meng, et al.. (2024). Towards Faster Graph Partitioning via Pre-Training and Inductive Inference. 1–7. 1 indexed citations
4.
Yang, Qinghai, et al.. (2023). Collaborative Human Recognition With Lightweight Models in Drone-Based Search and Rescue Operations. IEEE Transactions on Vehicular Technology. 73(2). 1765–1776. 4 indexed citations
5.
Yao, Mingwu, et al.. (2022). On the Statistical Delay Performance of Large-Scale IoT Networks. IEEE Transactions on Vehicular Technology. 71(8). 8967–8979. 6 indexed citations
6.
Yang, Tingting, Shan Gao, Jiabo Li, et al.. (2022). Multi-Armed Bandits Learning for Task Offloading in Maritime Edge Intelligence Networks. IEEE Transactions on Vehicular Technology. 71(4). 4212–4224. 35 indexed citations
7.
Yang, Tingting, Meng Qin, Nan Cheng, Wenchao Xu, & Lian Zhao. (2022). Liquid Software-Based Edge Intelligence for Future 6G Networks. IEEE Network. 36(1). 69–75. 16 indexed citations
8.
Qin, Meng, Nan Cheng, Tingting Yang, et al.. (2020). Service-Oriented Energy-Latency Tradeoff for IoT Task Partial Offloading in MEC-Enhanced Multi-RAT Networks. IEEE Internet of Things Journal. 8(3). 1896–1907. 99 indexed citations
9.
Qin, Meng, Weihua Wu, Qinghai Yang, et al.. (2020). Green-Oriented Dynamic Resource-on-Demand Strategy for Multi-RAT Wireless Networks Powered by Heterogeneous Energy Sources. IEEE Transactions on Wireless Communications. 19(8). 5547–5560. 13 indexed citations
10.
Xu, Wenchao, Haibo Zhou, Nan Cheng, et al.. (2020). Autonomous Rate Control for Mobile Internet of Things: A Deep Reinforcement Learning Approach. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 802. 1–6. 4 indexed citations
11.
Li, Wei, Meng Qin, & Kai Lei. (2019). Identifying Interpretable Link Communities with User Interactions and Messages in Social Networks. 271–278. 6 indexed citations
12.
Qin, Meng, et al.. (2019). Cooperative Scheduling of Smart Community Based on Electric Energy Router. IOP Conference Series Earth and Environmental Science. 223. 12040–12040. 1 indexed citations
13.
Yang, Tingting, Hailong Feng, Shan Gao, et al.. (2019). Two-Stage Offloading Optimization for Energy–Latency Tradeoff With Mobile Edge Computing in Maritime Internet of Things. IEEE Internet of Things Journal. 7(7). 5954–5963. 98 indexed citations
14.
Qin, Meng, Kai Lei, Bo Bai, & Gong Zhang. (2019). Towards a Profiling View for Unsupervised Traffic Classification by Exploring the Statistic Features and Link Patterns. 50–56. 13 indexed citations
15.
Qin, Meng, et al.. (2018). Adaptive community detection incorporating topology and content in social networks✰. Knowledge-Based Systems. 161. 342–356. 55 indexed citations
16.
Lei, Kai, Meng Qin, Bo Bai, & Gong Zhang. (2018). Adaptive Multiple Non-negative Matrix Factorization for Temporal Link Prediction in Dynamic Networks. 28–34. 20 indexed citations
17.
Qin, Meng, Qinghai Yang, Nan Cheng, et al.. (2018). Machine Learning Aided Context-Aware Self-Healing Management for Ultra Dense Networks With QoS Provisions. IEEE Transactions on Vehicular Technology. 67(12). 12339–12351. 27 indexed citations
18.
Yang, Qinghai, et al.. (2017). Uncertainty cost analysis of heterogeneous wireless network based on loan repayment approach. 11. 170–175. 3 indexed citations
20.
Qin, Meng, Zhiwu Li, MengChu Zhou, Mohamed Khalgui, & Olfa Mosbahi. (2012). Deadlock Prevention for a Class of Petri Nets With Uncontrollable and Unobservable Transitions. IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans. 42(3). 727–738. 18 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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