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:

A Big Data-as-a-Service Framework: State-of-the-Art and Perspectives
Xiaokang Wang, Laurence T. Yang, Huazhong Liu, et al.
IEEE Transactions on Big Data (2017) Vol. 4, Iss. 3, pp. 325-340
Closed Access | Times Cited: 161

Showing 1-25 of 161 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

A computation offloading method over big data for IoT-enabled cloud-edge computing
Xiaolong Xu, Qingxiang Liu, Yun Luo, et al.
Future Generation Computer Systems (2019) Vol. 95, pp. 522-533
Closed Access | Times Cited: 315

Big data analytics for manufacturing internet of things: opportunities, challenges and enabling technologies
Hong‐Ning Dai, Hao Wang, Guangquan Xu, et al.
Enterprise Information Systems (2019) Vol. 14, Iss. 9-10, pp. 1279-1303
Open Access | Times Cited: 291

Convolutional neural networks for medical image analysis: State-of-the-art, comparisons, improvement and perspectives
Hang Yu, Laurence T. Yang, Qingchen Zhang, et al.
Neurocomputing (2021) Vol. 444, pp. 92-110
Closed Access | Times Cited: 261

Deep Correlation Mining Based on Hierarchical Hybrid Networks for Heterogeneous Big Data Recommendations
Xiaokang Zhou, Wei Liang, Kevin I‐Kai Wang, et al.
IEEE Transactions on Computational Social Systems (2020) Vol. 8, Iss. 1, pp. 171-178
Closed Access | Times Cited: 242

An edge computing-enabled computation offloading method with privacy preservation for internet of connected vehicles
Xiaolong Xu, Yuan Xue, Lianyong Qi, et al.
Future Generation Computer Systems (2019) Vol. 96, pp. 89-100
Closed Access | Times Cited: 221

An Efficient Deep Learning Model to Predict Cloud Workload for Industry Informatics
Qingchen Zhang, Laurence T. Yang, Zheng Yan, et al.
IEEE Transactions on Industrial Informatics (2018) Vol. 14, Iss. 7, pp. 3170-3178
Closed Access | Times Cited: 210

Multi-scale Dense Gate Recurrent Unit Networks for bearing remaining useful life prediction
Lei Ren, Xuejun Cheng, Xiaokang Wang, et al.
Future Generation Computer Systems (2018) Vol. 94, pp. 601-609
Closed Access | Times Cited: 161

Data fusion in cyber-physical-social systems: State-of-the-art and perspectives
Puming Wang, Laurence T. Yang, Jintao Li, et al.
Information Fusion (2018) Vol. 51, pp. 42-57
Closed Access | Times Cited: 109

A trajectory privacy-preserving scheme based on a dual-K mechanism for continuous location-based services
Shaobo Zhang, Xinjun Mao, Kim‐Kwang Raymond Choo, et al.
Information Sciences (2019) Vol. 527, pp. 406-419
Closed Access | Times Cited: 98

Data fusion based coverage optimization in heterogeneous sensor networks: A survey
Xianjun Deng, Yalan Jiang, Laurence T. Yang, et al.
Information Fusion (2018) Vol. 52, pp. 90-105
Closed Access | Times Cited: 91

A Survey of Online Data-Driven Proactive 5G Network Optimisation Using Machine Learning
Bo Ma, Weisi Guo, Jie Zhang
IEEE Access (2020) Vol. 8, pp. 35606-35637
Open Access | Times Cited: 79

A Study of College English Culture Intelligence-Aided Teaching System and Teaching Pattern
Mengyue Cao, Dan Li, Wang Jun
English Language Teaching (2020) Vol. 13, Iss. 3, pp. 77-77
Open Access | Times Cited: 71

Randomized Algorithms for Computation of Tucker Decomposition and Higher Order SVD (HOSVD)
Salman Ahmadi‐Asl, Stanislav Abukhovich, Maame G. Asante-Mensah, et al.
IEEE Access (2021) Vol. 9, pp. 28684-28706
Open Access | Times Cited: 69

A Multi-Order Distributed HOSVD with Its Incremental Computing for Big Services in Cyber-Physical-Social Systems
Xiaokang Wang, Laurence T. Yang, Xingyu Chen, et al.
IEEE Transactions on Big Data (2018) Vol. 6, Iss. 4, pp. 666-678
Closed Access | Times Cited: 70

Survey on Big Data Analytics in Health Care
P. Saranya, P. Asha
2019 International Conference on Smart Systems and Inventive Technology (ICSSIT) (2019), pp. 46-51
Closed Access | Times Cited: 70

A Distributed Tensor-Train Decomposition Method for Cyber-Physical-Social Services
Xiaokang Wang, Laurence T. Yang, Yihao Wang, et al.
ACM Transactions on Cyber-Physical Systems (2019) Vol. 3, Iss. 4, pp. 1-15
Closed Access | Times Cited: 66

A Heuristic Offloading Method for Deep Learning Edge Services in 5G Networks
Xiaolong Xu, Daoming Li, Zhonghui Dai, et al.
IEEE Access (2019) Vol. 7, pp. 67734-67744
Open Access | Times Cited: 60

Sustainable Competitive Advantage Driven by Big Data Analytics and Innovation
Muawia Ramadan, Hana Shuqqo, Layalee Qtaishat, et al.
Applied Sciences (2020) Vol. 10, Iss. 19, pp. 6784-6784
Open Access | Times Cited: 59

A Tensor-Train Deep Computation Model for Industry Informatics Big Data Feature Learning
Qingchen Zhang, Laurence T. Yang, Zhikui Chen, et al.
IEEE Transactions on Industrial Informatics (2018) Vol. 14, Iss. 7, pp. 3197-3204
Closed Access | Times Cited: 52

Improved Multi-Order Distributed HOSVD with Its Incremental Computing for Smart City Services
Xiaokang Wang, Laurence T. Yang, Xingyu Chen, et al.
IEEE Transactions on Sustainable Computing (2018) Vol. 6, Iss. 3, pp. 456-468
Closed Access | Times Cited: 47

Pairwise comparison learning based bearing health quantitative modeling and its application in service life prediction
Jin Cui, Lei Ren, Xiaokang Wang, et al.
Future Generation Computer Systems (2019) Vol. 97, pp. 578-586
Closed Access | Times Cited: 44

Efficient container virtualization-based digital twin simulation of smart industrial systems
Ting Lin, Guoqiang Shi, Chen Yang, et al.
Journal of Cleaner Production (2020) Vol. 281, pp. 124443-124443
Closed Access | Times Cited: 41

A Distributed Hierarchical Deep Computation Model for Federated Learning in Edge Computing
Haifeng Zheng, Min Gao, Zhizhang Chen, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 17, Iss. 12, pp. 7946-7956
Closed Access | Times Cited: 37

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