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OpenAlex Citation Counts

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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:

Towards Accurate Prediction for High-Dimensional and Highly-Variable Cloud Workloads with Deep Learning
Zheyi Chen, Jia Hu, Geyong Min, et al.
IEEE Transactions on Parallel and Distributed Systems (2019) Vol. 31, Iss. 4, pp. 923-934
Open Access | Times Cited: 140

Showing 1-25 of 140 citing articles:

Deep-Learning-Enhanced Human Activity Recognition for Internet of Healthcare Things
Xiaokang Zhou, Wei Liang, Kevin I‐Kai Wang, et al.
IEEE Internet of Things Journal (2020) Vol. 7, Iss. 7, pp. 6429-6438
Open Access | Times Cited: 427
Deep-Learning-Enhanced Multitarget Detection for End–Edge–Cloud Surveillance in Smart IoT
Xiaokang Zhou, Xuesong Xu, Wei Liang, et al.
IEEE Internet of Things Journal (2021) Vol. 8, Iss. 16, pp. 12588-12596
Open Access | Times Cited: 255
A deep reinforcement learning-based multi-optimality routing scheme for dynamic IoT networks
Peizhuang Cong, Yuchao Zhang, Zheli Liu, et al.
Computer Networks (2021) Vol. 192, pp. 108057-108057
Closed Access | Times Cited: 211
Dynamic job-shop scheduling in smart manufacturing using deep reinforcement learning
Libing Wang, Xin Hu, Yin Wang, et al.
Computer Networks (2021) Vol. 190, pp. 107969-107969
Closed Access | Times Cited: 161
Federated Transfer Learning Based Cross-Domain Prediction for Smart Manufacturing
Kevin I‐Kai Wang, Xiaokang Zhou, Wei Liang, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 18, Iss. 6, pp. 4088-4096
Closed Access | Times Cited: 129
Deep-Reinforcement-Learning-Based QoS-Aware Secure Routing for SDN-IoT
Xuancheng Guo, Hui Lin, Zhiyang Li, et al.
IEEE Internet of Things Journal (2019) Vol. 7, Iss. 7, pp. 6242-6251
Closed Access | Times Cited: 132
A Secure Data Aggregation Strategy in Edge Computing and Blockchain-Empowered Internet of Things
Xiaoding Wang, Sahil Garg, Hui Lin, et al.
IEEE Internet of Things Journal (2020) Vol. 9, Iss. 16, pp. 14237-14246
Closed Access | Times Cited: 78
A Quantum Approach Towards the Adaptive Prediction of Cloud Workloads
Ashutosh Kumar Singh, Deepika Saxena, Jitendra Kumar, et al.
IEEE Transactions on Parallel and Distributed Systems (2021) Vol. 32, Iss. 12, pp. 2893-2905
Open Access | Times Cited: 72
Adaptive and Efficient Resource Allocation in Cloud Datacenters Using Actor-Critic Deep Reinforcement Learning
Zheyi Chen, Jia Hu, Geyong Min, et al.
IEEE Transactions on Parallel and Distributed Systems (2021) Vol. 33, Iss. 8, pp. 1911-1923
Open Access | Times Cited: 63
esDNN: Deep Neural Network Based Multivariate Workload Prediction in Cloud Computing Environments
Minxian Xu, Chenghao Song, Huaming Wu, et al.
ACM Transactions on Internet Technology (2022) Vol. 22, Iss. 3, pp. 1-24
Open Access | Times Cited: 63
Performance Analysis of Machine Learning Centered Workload Prediction Models for Cloud
Deepika Saxena, Jitendra Kumar, Ashutosh Kumar Singh, et al.
IEEE Transactions on Parallel and Distributed Systems (2023) Vol. 34, Iss. 4, pp. 1313-1330
Open Access | Times Cited: 39
CoScal: Multifaceted Scaling of Microservices With Reinforcement Learning
Minxian Xu, Chenghao Song, Shashikant Ilager, et al.
IEEE Transactions on Network and Service Management (2022) Vol. 19, Iss. 4, pp. 3995-4009
Open Access | Times Cited: 38
An energy aware resource allocation based on combination of CNN and GRU for virtual machine selection
Zeinab Khodaverdian, Hossein Sadr, S. A. Edalatpanah, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 9, pp. 25769-25796
Closed Access | Times Cited: 29
Resource Allocation for Cloud-Based Software Services Using Prediction-Enabled Feedback Control With Reinforcement Learning
Xing Chen, Fangning Zhu, Zheyi Chen, et al.
IEEE Transactions on Cloud Computing (2020) Vol. 10, Iss. 2, pp. 1117-1129
Closed Access | Times Cited: 67
Joint Route Selection and Charging Discharging Scheduling of EVs in V2G Energy Network
Peng Liu, Chaoyu Wang, Jia Hu, et al.
IEEE Transactions on Vehicular Technology (2020) Vol. 69, Iss. 10, pp. 10630-10641
Closed Access | Times Cited: 59
Computation Offloading and Task Scheduling for DNN-Based Applications in Cloud-Edge Computing
Zheyi Chen, Junqin Hu, Xing Chen, et al.
IEEE Access (2020) Vol. 8, pp. 115537-115547
Open Access | Times Cited: 57
Resource Allocation With Workload-Time Windows for Cloud-Based Software Services: A Deep Reinforcement Learning Approach
Xing Chen, Lijian Yang, Zheyi Chen, et al.
IEEE Transactions on Cloud Computing (2022) Vol. 11, Iss. 2, pp. 1871-1885
Closed Access | Times Cited: 30
Computation offloading in blockchain-enabled MCS systems: A scalable deep reinforcement learning approach
Zheyi Chen, Junjie Zhang, Zhiqin Huang, et al.
Future Generation Computer Systems (2023) Vol. 153, pp. 301-311
Open Access | Times Cited: 18
Cloud-Native Computing: A Survey From the Perspective of Services
Shuiguang Deng, Hailiang Zhao, Binbin Huang, et al.
Proceedings of the IEEE (2024) Vol. 112, Iss. 1, pp. 12-46
Open Access | Times Cited: 7
Auto-adaptive learning-based workload forecasting in dynamic cloud environment
Deepika Saxena, Ashutosh Kumar Singh
International Journal of Computers and Applications (2020) Vol. 44, Iss. 6, pp. 541-551
Closed Access | Times Cited: 48
Joint computation offloading and deployment optimization in multi-UAV-enabled MEC systems
Zheyi Chen, Hongqiang Zheng, Jianshan Zhang, et al.
Peer-to-Peer Networking and Applications (2021) Vol. 15, Iss. 1, pp. 194-205
Open Access | Times Cited: 35
Energy and Network Aware Workload Management for Geographically Distributed Data Centers
Ninad Hogade, Sudeep Pasricha, Howard Jay Siegel
IEEE Transactions on Sustainable Computing (2021) Vol. 7, Iss. 2, pp. 400-413
Open Access | Times Cited: 34
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
Unsupervised embedded feature learning for deep clustering with stacked sparse auto-encoder
Jinyu Cai, Shiping Wang, Wenzhong Guo
Expert Systems with Applications (2021) Vol. 186, pp. 115729-115729
Closed Access | Times Cited: 34
Workload time series prediction in storage systems: a deep learning based approach
Li Ruan, Yu Bai, Shaoning Li, et al.
Cluster Computing (2021) Vol. 26, Iss. 1, pp. 25-35
Closed Access | Times Cited: 33
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