Mei Song

6.1k total citations · 1 hit paper
239 papers, 3.7k citations indexed

About

Mei Song is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Mei Song has authored 239 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 170 papers in Computer Networks and Communications, 150 papers in Electrical and Electronic Engineering and 26 papers in Artificial Intelligence. Recurrent topics in Mei Song's work include Cooperative Communication and Network Coding (75 papers), Advanced MIMO Systems Optimization (71 papers) and IPv6, Mobility, Handover, Networks, Security (35 papers). Mei Song is often cited by papers focused on Cooperative Communication and Network Coding (75 papers), Advanced MIMO Systems Optimization (71 papers) and IPv6, Mobility, Handover, Networks, Security (35 papers). Mei Song collaborates with scholars based in China, United States and Canada. Mei Song's co-authors include F. Richard Yu, Yinglei Teng, Mengting Liu, Yifei Wei, Victor C. M. Leung, Andrea Montanari, Zhu Han, Phan-Minh Nguyen, Yong Zhang and Li Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and IEEE Communications Surveys & Tutorials.

In The Last Decade

Mei Song

216 papers receiving 3.6k 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.

Performance Optimization for Blockchain-Enabled Industrial Internet of Things (IIoT) Systems: A Deep Reinforcement Learning Approach

2019 272 citations Mengting Liu, F. Richard Yu et al. profile →

Peers

Mei Song

CNC

EEE

AI

IS

CVPR

Robert Shorten Ireland

Yong Ding China

Lifeng Lai United States

Douglas J. Leith Ireland

Wee Peng Tay Singapore

Ting He United States

Dong Li China

Gesualdo Scutari United States

Sanjeev Khanna United States

Chengwei Wu China

Robert Shorten Ireland

Mei Song

2.2k ×1.0

CNC

1.3k ×0.7

EEE

470 ×0.6

AI

385 ×0.5

IS

124 ×0.4

CVPR

Citations per year, relative to Mei Song Mei Song (= 1×) peers Robert Shorten

Countries citing papers authored by Mei Song

Since Specialization

Citations

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

Fields of papers citing papers by Mei Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei Song

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Pei, Fengque, et al.. (2025). Recognition of Chinese wolfberry images with windy and sandy noises using improved YOLOv8. International journal of agricultural and biological engineering. 18(2). 245–259.

2.

Wang, Xiaojuan, et al.. (2023). A Compact and Powerful Single-Stage Network for Multi-Person Pose Estimation. Electronics. 12(4). 857–857. 8 indexed citations

3.

Zhang, Zhao, Yong Zhang, Da Guo, & Mei Song. (2021). A scalable network intrusion detection system towards detecting, discovering, and learning unknown attacks. International Journal of Machine Learning and Cybernetics. 12(6). 1649–1665. 18 indexed citations

4.

Liu, Mengting, Yinglei Teng, F. Richard Yu, Victor C. M. Leung, & Mei Song. (2020). A Deep Reinforcement Learning-Based Transcoder Selection Framework for Blockchain-Enabled Wireless D2D Transcoding. IEEE Transactions on Communications. 68(6). 3426–3439. 15 indexed citations

5.

Wang, Xiaojuan, et al.. (2020). Margin-Based Deep Learning Networks for Human Activity Recognition. Sensors. 20(7). 1871–1871. 24 indexed citations

6.

Wang, Xiaojuan, et al.. (2020). A Hybrid Network Based on Dense Connection and Weighted Feature Aggregation for Human Activity Recognition. IEEE Access. 8. 68320–68332. 21 indexed citations

7.

Wei, Yifei, et al.. (2019). Auction-Based Relay Selection and Power Allocation in Green Relay-Assisted Cellular Networks. IEEE Transactions on Vehicular Technology. 68(8). 8000–8011. 11 indexed citations

8.

Zhang, Yong, et al.. (2019). PCCN: Parallel Cross Convolutional Neural Network for Abnormal Network Traffic Flows Detection in Multi-Class Imbalanced Network Traffic Flows. IEEE Access. 7. 119904–119916. 83 indexed citations

9.

Ghorbani, Behrooz, Mei Song, Theodor Misiakiewicz, & Andrea Montanari. (2019). Limitations of Lazy Training of Two-layers Neural Network. Neural Information Processing Systems. 32. 9108–9118. 16 indexed citations

10.

Song, Mei, Theodor Misiakiewicz, & Andrea Montanari. (2019). Mean-field theory of two-layers neural networks: dimension-free bounds and kernel limit. Conference on Learning Theory. 2388–2464. 4 indexed citations

11.

Wei, Yifei, F. Richard Yu, Mei Song, & Zhu Han. (2018). Joint Optimization of Caching, Computing, and Radio Resources for Fog-Enabled IoT Using Natural Actor–Critic Deep Reinforcement Learning. IEEE Internet of Things Journal. 6(2). 2061–2073. 249 indexed citations

12.

Teng, Yinglei, Mengting Liu, F. Richard Yu, et al.. (2018). Resource Allocation for Ultra-Dense Networks: A Survey, Some Research Issues and Challenges. IEEE Communications Surveys & Tutorials. 21(3). 2134–2168. 134 indexed citations

13.

Song, Mei, Theodor Misiakiewicz, Andrea Montanari, & Roberto I. Oliveira. (2017). Solving SDPs for synchronization and MaxCut problems via the Grothendieck inequality. Conference on Learning Theory. 1476–1515. 4 indexed citations

14.

Wei, Yifei, F. Richard Yu, Mei Song, & Zhu Han. (2017). User Scheduling and Resource Allocation in HetNets With Hybrid Energy Supply: An Actor-Critic Reinforcement Learning Approach. IEEE Transactions on Wireless Communications. 17(1). 680–692. 247 indexed citations

15.

Song, Mei, et al.. (2017). Game Theoretic Framework for Energy Cooperation in Wireless Sensor Networks with Energy Harvesting and Wireless Power Transfer.. 36. 233–256. 4 indexed citations

16.

Song, Mei, et al.. (2016). Mechanism Study on the Flocculating of Ferric Chloride and Recent Progress. 35(7). 676. 3 indexed citations

17.

Liu, Yang, Gaofeng Pan, Hongtao Zhang, & Mei Song. (2016). On the Capacity Comparison Between MIMO-NOMA and MIMO-OMA. IEEE Access. 4. 2123–2129. 144 indexed citations

18.

Wang, Yali, et al.. (2014). Improved ant colony-based multi-constrained QoS energy-saving routing and throughput optimization in wireless Ad-hoc networks. The Journal of China Universities of Posts and Telecommunications. 21(1). 43–59. 37 indexed citations

19.

Zheng, Yi, Yong Zhang, Yinglei Teng, & Mei Song. (2009). A Cross-Layer Scheme for Handover in 802.16e Network with F-HMIPv6 Mobility. Communications and Network. 1(1). 35–41. 3 indexed citations

20.

Song, Mei. (2003). DISTRIBUTED CONTROL SYSTEM FOR THE COOPERATIVE TASK OF MULTI-MOBILE ROBOTS. Robot. 6 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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