Open Access Helper

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:

Adaptive Video Streaming With Edge Caching and Video Transcoding Over Software-Defined Mobile Networks: A Deep Reinforcement Learning Approach
Jia Luo, F. Richard Yu, Qianbin Chen, et al.
IEEE Transactions on Wireless Communications (2019) Vol. 19, Iss. 3, pp. 1577-1592
Closed Access | Times Cited: 100

Showing 1-25 of 100 citing articles:

Deep Reinforcement Learning for Task Offloading in Mobile Edge Computing Systems
Ming Tang, Vincent W. S. Wong
IEEE Transactions on Mobile Computing (2020) Vol. 21, Iss. 6, pp. 1985-1997
Open Access | Times Cited: 300
Applying machine learning techniques for caching in next-generation edge networks: A comprehensive survey
Junaid Shuja, Kashif Bilal, Waleed Alasmary, et al.
Journal of Network and Computer Applications (2021) Vol. 181, pp. 103005-103005
Open Access | Times Cited: 117
Edge Intelligence: A Computational Task Offloading Scheme for Dependent IoT Application
Han Xiao, Changqiao Xu, Yunxiao Ma, et al.
IEEE Transactions on Wireless Communications (2022) Vol. 21, Iss. 9, pp. 7222-7237
Closed Access | Times Cited: 80
Accuracy-Guaranteed Collaborative DNN Inference in Industrial IoT via Deep Reinforcement Learning
Wen Wu, Peng Yang, Weiting Zhang, et al.
IEEE Transactions on Industrial Informatics (2020) Vol. 17, Iss. 7, pp. 4988-4998
Open Access | Times Cited: 101
Soft Actor–Critic DRL for Live Transcoding and Streaming in Vehicular Fog-Computing-Enabled IoV
Fang Fu, Yunpeng Kang, Zhicai Zhang, et al.
IEEE Internet of Things Journal (2020) Vol. 8, Iss. 3, pp. 1308-1321
Closed Access | Times Cited: 80
SDN and NFV for QoE-driven multimedia services delivery: The road towards 6G and beyond networks
Alcardo Alex Barakabitze, Ray Walshe
Computer Networks (2022) Vol. 214, pp. 109133-109133
Open Access | Times Cited: 48
Management and Orchestration of Edge Computing for IoT: A Comprehensive Survey
Yao Chiang, Yi Zhang, Hao Luo, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 16, pp. 14307-14331
Closed Access | Times Cited: 28
Blockchain-Enabled Software-Defined Industrial Internet of Things With Deep Reinforcement Learning
Jia Luo, Qianbin Chen, F. Richard Yu, et al.
IEEE Internet of Things Journal (2020) Vol. 7, Iss. 6, pp. 5466-5480
Closed Access | Times Cited: 66
Deep Reinforcement Learning With Communication Transformer for Adaptive Live Streaming in Wireless Edge Networks
Shuoyao Wang, Suzhi Bi, Ying–Jun Angela Zhang
IEEE Journal on Selected Areas in Communications (2021) Vol. 40, Iss. 1, pp. 308-322
Closed Access | Times Cited: 42
A Survey on Reinforcement Learning-Aided Caching in Heterogeneous Mobile Edge Networks
Νικόλαος Νομικός, Spyros Zoupanos, Themistoklis Charalambous, et al.
IEEE Access (2022) Vol. 10, pp. 4380-4413
Open Access | Times Cited: 33
Mobility-Aware Computation Offloading With Load Balancing in Smart City Networks Using MEC Federation
Hualong Huang, Wenhan Zhan, Geyong Min, et al.
IEEE Transactions on Mobile Computing (2024) Vol. 23, Iss. 11, pp. 10411-10428
Closed Access | Times Cited: 6
Lyapunov-guided Deep Reinforcement Learning for service caching and task offloading in Mobile Edge Computing
Nianxin Li, Linbo Zhai, Zeyao Ma, et al.
Computer Networks (2024) Vol. 250, pp. 110593-110593
Closed Access | Times Cited: 6
Resource Allocation and Interference Coordination Strategies in Heterogeneous Dual-Layer Satellite Networks
Jinhong Li, Rong Chai, Tianyi Zhou, et al.
Sensors (2025) Vol. 25, Iss. 4, pp. 1005-1005
Open Access
Predictive Caching Dynamics: Advancing Video Streaming with Deep Learning
Mahmoud Darwich, Magdy Bayoumi
Lecture notes in networks and systems (2025), pp. 205-218
Closed Access
Minimizing the AoI in Resource-Constrained Multi-Source Relaying Systems: Dynamic and Learning-Based Scheduling
Abolfazl Zakeri, Mohammad Moltafet, Markus Leinonen, et al.
IEEE Transactions on Wireless Communications (2023) Vol. 23, Iss. 1, pp. 450-466
Open Access | Times Cited: 12
QoE-Driven IoT Architecture: A Comprehensive Review on System and Resource Management
Boonyarith Saovapakhiran, Wibhada Naruephiphat, Chalermpol Charnsripinyo, et al.
IEEE Access (2022) Vol. 10, pp. 84579-84621
Open Access | Times Cited: 18
EAVS: Edge-assisted Adaptive Video Streaming with Fine-grained Serverless Pipelines
Biao Hou, Song Yang, Fernando Kuipers, et al.
IEEE INFOCOM 2022 - IEEE Conference on Computer Communications (2023)
Open Access | Times Cited: 11
Adaptive Video Streaming in Multi-Tier Computing Networks: Joint Edge Transcoding and Client Enhancement
Shuoyao Wang, Junyan Yang, Suzhi Bi
IEEE Transactions on Mobile Computing (2023) Vol. 23, Iss. 4, pp. 2657-2670
Closed Access | Times Cited: 10
Service Characteristics-Oriented Joint Optimization of Radio and Computing Resource Allocation in Mobile-Edge Computing
Jie Feng, Lei Liu, Qingqi Pei, et al.
IEEE Internet of Things Journal (2021) Vol. 8, Iss. 11, pp. 9407-9421
Closed Access | Times Cited: 24
MEC-assisted flexible transcoding strategy for adaptive bitrate video streaming in small cell networks
Chunyu Liu, Heli Zhang, Hong Ji, et al.
China Communications (2021) Vol. 18, Iss. 2, pp. 200-214
Closed Access | Times Cited: 23
Delay and Energy Minimization for Adaptive Video Streaming: A Joint Edge Caching, Computing and Power Allocation Approach
Wenjie Liu, Haixia Zhang, Hui Ding, et al.
IEEE Transactions on Vehicular Technology (2022) Vol. 71, Iss. 9, pp. 9602-9612
Closed Access | Times Cited: 17
Collaborative Edge Caching and Transcoding for 360° Video Streaming Based on Deep Reinforcement Learning
Taoyu Yang, Zengjie Tan, Yuanyuan Xu, et al.
IEEE Internet of Things Journal (2022) Vol. 9, Iss. 24, pp. 25551-25564
Closed Access | Times Cited: 17
QoE-Aware 3D Video Streaming via Deep Reinforcement Learning in Software Defined Networking Enabled Mobile Edge Computing
Pan Zhou, Yulai Xie, Ben Niu, et al.
IEEE Transactions on Network Science and Engineering (2020) Vol. 8, Iss. 1, pp. 419-433
Closed Access | Times Cited: 24
Entropy-based Reinforcement Learning for computation offloading service in software-defined multi-access edge computing
Kexin Li, Xingwei Wang, Qiang Ni, et al.
Future Generation Computer Systems (2022) Vol. 136, pp. 241-251
Open Access | Times Cited: 15
Intelligent aerial video streaming: Achievements and challenges
The-Vinh Nguyen, Ngoc Phi Nguyen, Cheonshik Kim, et al.
Journal of Network and Computer Applications (2022) Vol. 211, pp. 103564-103564
Closed Access | Times Cited: 14
Page 1 - Next Page

Scroll to top