OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Edge intelligence computing for mobile augmented reality with deep reinforcement learning approach
Miaojiang Chen, Wei Liu, Tian Wang, et al.
Computer Networks (2021) Vol. 195, pp. 108186-108186
Closed Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

A Survey on Optimization Techniques for Edge Artificial Intelligence (AI)
Chellammal Surianarayanan, John Jeyasekaran Lawrence, Pethuru Raj Chelliah, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1279-1279
Open Access | Times Cited: 41

A game-based deep reinforcement learning approach for energy-efficient computation in MEC systems
Miaojiang Chen, Wei Liu, Tian Wang, et al.
Knowledge-Based Systems (2021) Vol. 235, pp. 107660-107660
Closed Access | Times Cited: 85

Artificial Intelligence in the Smart City — A Literature Review
Danuta Szpilko, Félix Jiménez Naharro, George Lăzăroiu, et al.
Engineering Management in Production and Services (2023) Vol. 15, Iss. 4, pp. 53-75
Open Access | Times Cited: 24

RDRL: A Recurrent Deep Reinforcement Learning Scheme for Dynamic Spectrum Access in Reconfigurable Wireless Networks
Miaojiang Chen, Anfeng Liu, Wei Liu, et al.
IEEE Transactions on Network Science and Engineering (2021) Vol. 9, Iss. 2, pp. 364-376
Closed Access | Times Cited: 42

GPDS: A multi-agent deep reinforcement learning game for anti-jamming secure computing in MEC network
Miaojiang Chen, Wei Liu, Ning Zhang, et al.
Expert Systems with Applications (2022) Vol. 210, pp. 118394-118394
Closed Access | Times Cited: 34

Game Theoretical Task Offloading for Profit Maximization in Mobile Edge Computing
Haojun Teng, Zhetao Li, Kun Cao, et al.
IEEE Transactions on Mobile Computing (2022), pp. 1-1
Closed Access | Times Cited: 33

Deep Neural Networks meet computation offloading in mobile edge networks: Applications, taxonomy, and open issues
Ehzaz Mustafa, Junaid Shuja, Faisal Rehman, et al.
Journal of Network and Computer Applications (2024) Vol. 226, pp. 103886-103886
Closed Access | Times Cited: 7

An overview of mobility awareness with mobile edge computing over 6G network: Challenges and future research directions
Soule Issa Loutfi, Ibraheem Shayea, Ufuk Türeli, et al.
Results in Engineering (2024) Vol. 23, pp. 102601-102601
Open Access | Times Cited: 7

A Survey of Intelligent End-to-End Networking Solutions: Integrating Graph Neural Networks and Deep Reinforcement Learning Approaches
Prohim Tam, Seyha Ros, Inseok Song, et al.
Electronics (2024) Vol. 13, Iss. 5, pp. 994-994
Open Access | Times Cited: 6

MEC-Based Dynamic Controller Placement in SD-IoV: A Deep Reinforcement Learning Approach
Bo Li, Xiaoheng Deng, Xuechen Chen, et al.
IEEE Transactions on Vehicular Technology (2022) Vol. 71, Iss. 9, pp. 10044-10058
Closed Access | Times Cited: 26

SCTD: A spatiotemporal correlation truth discovery scheme for security management of data platform
Wen Hui Mo, Zeyuan Li, Zhiwen Zeng, et al.
Future Generation Computer Systems (2022) Vol. 139, pp. 109-125
Closed Access | Times Cited: 22

A DRL-Driven Intelligent Joint Optimization Strategy for Computation Offloading and Resource Allocation in Ubiquitous Edge IoT Systems
Meng Yi, Peng Yang, Miaojiang Chen, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2022) Vol. 7, Iss. 1, pp. 39-54
Closed Access | Times Cited: 20

Exploiting Battery Storages With Reinforcement Learning: A Review for Energy Professionals
Rakshith Subramanya, Seppo Sierla, Valeriy Vyatkin
IEEE Access (2022) Vol. 10, pp. 54484-54506
Open Access | Times Cited: 16

Computing Offloading With Fairness Guarantee: A Deep Reinforcement Learning Method
Hao Hao, Changqiao Xu, Wei Zhang, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2023) Vol. 33, Iss. 10, pp. 6117-6130
Open Access | Times Cited: 10

Mobility- and Energy-Aware Cooperative Edge Offloading for Dependent Computation Tasks
Mahshid Mehrabi, Shiwei Shen, Yilun Hai, et al.
Network (2021) Vol. 1, Iss. 2, pp. 191-214
Open Access | Times Cited: 21

DMADRL: A Distributed Multi-agent Deep Reinforcement Learning Algorithm for Cognitive Offloading in Dynamic MEC Networks
Meng Yi, Peng Yang, Miao Du, et al.
Neural Processing Letters (2022) Vol. 54, Iss. 5, pp. 4341-4373
Closed Access | Times Cited: 15

A novel differential dynamic gradient descent optimization algorithm for resource allocation and offloading in the COMEC system
Miaojiang Chen, Zeyuan Li, Peipei Chen, et al.
International Journal of Intelligent Systems (2022) Vol. 37, Iss. 11, pp. 8365-8386
Open Access | Times Cited: 12

Resource allocation for MEC system with multi-users resource competition based on deep reinforcement learning approach
Bin Qu, Yan Bai, Yul Chu, et al.
Computer Networks (2022) Vol. 215, pp. 109181-109181
Open Access | Times Cited: 11

New challenges in reinforcement learning: a survey of security and privacy
Yunjiao Lei, Dayong Ye, Sheng Shen, et al.
Artificial Intelligence Review (2022) Vol. 56, Iss. 7, pp. 7195-7236
Open Access | Times Cited: 10

MIDP: An MDP-based intelligent big data processing scheme for vehicular edge computing
Shun Liu, Qiang Yang, Shaobo Zhang, et al.
Journal of Parallel and Distributed Computing (2022) Vol. 167, pp. 1-17
Closed Access | Times Cited: 8

MARL-Based Cooperative Multi-AGV Control in Warehouse Systems
Ho-Bin Choi, Ju-Bong Kim, Youn‐Hee Han, et al.
IEEE Access (2022) Vol. 10, pp. 100478-100488
Open Access | Times Cited: 8

Dependent Task Offloading and Resource Allocation via Deep Reinforcement Learning for Extended Reality in Mobile Edge Networks
Xiaofan Yu, Siyuan Zhou, Baoxiang Wei
Electronics (2024) Vol. 13, Iss. 13, pp. 2528-2528
Open Access | Times Cited: 1

Design of Secure and Efficient Authentication Protocol for Edge Computing-Based Augmented Reality Environments
Deokkyu Kwon, Youngho Park
Electronics (2024) Vol. 13, Iss. 3, pp. 551-551
Open Access | Times Cited: 1

BIRP: Batch-aware Inference Workload Redistribution and Parallel Scheme for Edge Collaboration
Hesheng Sun, Xinyi Chen, Zhuzhong Qian, et al.
(2023), pp. 72-81
Closed Access | Times Cited: 2

Application of mobile edge computing combined with convolutional neural network deep learning in image analysis
Yong Yang, Young Chun Ko
International Journal of Systems Assurance Engineering and Management (2022) Vol. 13, Iss. S3, pp. 1186-1195
Closed Access | Times Cited: 3

Page 1 - Next Page

Scroll to top