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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:

HSM-SMCS: Task Assignment Based on Hybrid Sensing Modes in Sparse Mobile Crowdsensing
Xiaohui Wei, Zijian Li, Chenghao Ren, et al.
IEEE Internet of Things Journal (2022) Vol. 10, Iss. 5, pp. 4034-4048
Closed Access | Times Cited: 20

Showing 20 citing articles:

Quality-aware multi-task allocation based on location importance in mobile crowdsensing
Yuping Liu, Honglong Chen, Xiang Liu, et al.
Journal of Network and Computer Applications (2025), pp. 104113-104113
Closed Access
Familiar Paths are the Best: Incentive Mechanism Based on Path-Dependence Considering Space-Time Coverage in Crowdsensing
Deng Li, Chaojie Li, Xiaoheng Deng, et al.
IEEE Transactions on Mobile Computing (2024) Vol. 23, Iss. 10, pp. 9304-9323
Closed Access | Times Cited: 3
Malicious Participants and Fake Task Detection Incorporating Gaussian Bias
Jian Wang, Delei Zhao, Guosheng Zhao
ACM Transactions on Internet Technology (2024)
Closed Access | Times Cited: 3
Blockchain-Based Hybrid Reliable User Selection Scheme for Task Allocation in Mobile Crowd Sensing
Shiwen Zhang, Zhixue Li, Wei Liang, et al.
IEEE Transactions on Network Science and Engineering (2024) Vol. 11, Iss. 6, pp. 6494-6510
Closed Access | Times Cited: 2
ATWR-SMR: An Area-Constrained Truthful-Worker Recruitment-Based Sensing Map Recovery Scheme for Sparse MCS in Extreme-Environment Internet of Things
Xiangwan Fu, Anfeng Liu, Naixue Xiong, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 3, pp. 3711-3724
Closed Access | Times Cited: 6
HPFL-CN: Communication-Efficient Hierarchical Personalized Federated Edge Learning via Complex Network Feature Clustering
Zijian Li, Zihan Chen, Xiaohui Wei, et al.
(2022), pp. 325-333
Closed Access | Times Cited: 9
A Crowd-Aided Vehicular Hybrid Sensing Framework for Intelligent Transportation Systems
Zhengqiu Zhu, Yong Zhao, Bin Chen, et al.
IEEE Transactions on Intelligent Vehicles (2022) Vol. 8, Iss. 2, pp. 1484-1497
Closed Access | Times Cited: 9
Hybrid User-Based Task Assignment for Mobile Crowdsensing: Problem and Algorithm
Kun Liu, Shuo Peng, Wei Gong, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 11, pp. 19589-19601
Closed Access | Times Cited: 1
A Survey of Application and Key Techniques for Mobile Crowdsensing
Hezhe Wang
Wireless Communications and Mobile Computing (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 8
Guest Editorial Special Issue on Empowering the Future Generation Systems: Opportunities by the Convergence of Cloud, Edge, AI, and IoT
Farshad Firouzi, Mahmoud Daneshmand, JaeSeung Song, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 5, pp. 3681-3685
Open Access | Times Cited: 4
Matching-Based Hybrid Service Trading for Task Assignment Over Dynamic Mobile Crowdsensing Networks
Houyi Qi, Minghui Liwang, Seyyedali Hosseinalipour, et al.
IEEE Transactions on Services Computing (2023) Vol. 17, Iss. 5, pp. 2597-2612
Open Access | Times Cited: 4
Exploiting Complex Network-based Clustering for Personalization-Enhanced Hierarchical Federated Edge Learning
Zijian Li, Zihan Chen, Xiaohui Wei, et al.
IEEE Transactions on Mobile Computing (2024) Vol. 23, Iss. 12, pp. 14852-14870
Closed Access | Times Cited: 1
Adaptive Sampling Allocation for Distributed Data Storage in Compressive CrowdSensing
Xingting Liu, Siwang Zhou, Jiaxin Peng, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 7, pp. 12022-12032
Closed Access | Times Cited: 2
Sparse Region Prediction and Interpretability Analysis for Mobile Crowdsensing
Jian Wang, Yuping Yan, Guosheng Zhao
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 12, pp. 22656-22667
Closed Access
A deep learning sparse urban sensing scheme based on spatiotemporal correlations
Zihao Wei, Yantao Yu, Guojin Liu, et al.
Computer Networks (2024), pp. 111015-111015
Closed Access
A method of user recruitment and adaptation degree improvement via community collaboration in sparse mobile crowdsensing systems
Jian Wang, Xiuying Zhan, Yuping Yan, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 128, pp. 107464-107464
Closed Access | Times Cited: 1
Matching-based Hybrid Service Trading for Task Assignment over Dynamic Mobile Crowdsensing Networks
Houyi Qi, Minghui Liwang, Seyyedali Hosseinalipour, et al.
arXiv (Cornell University) (2023)
Open Access
Quality-Aware Multi-Task Allocation Based on Location Importance in Mobile Crowdsensing
Xiang Liu, Honglong Chen, Wentao Wei, et al.
(2023)
Closed Access
Social Welfare-Based Task Assignment in Mobile Crowdsensing
Zheng Kang, Hui Liu
International Journal of Information Technologies and Systems Approach (2023) Vol. 16, Iss. 3, pp. 1-28
Open Access
Vehicular Crowdsensing Inference and Prediction With Multi Training Graph Transformer Networks
Jie Huo, Luhan Wang, Zhaoming Lu, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 1, pp. 217-227
Closed Access
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