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:

Evenness-Aware Data Collection for Edge-Assisted Mobile Crowdsensing in Internet of Vehicles
Luning Liu, Zhaoming Lu, Luhan Wang, et al.
IEEE Internet of Things Journal (2021) Vol. 10, Iss. 1, pp. 1-16
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Industry 5.0 implications for inclusive sustainable manufacturing: An evidence-knowledge-based strategic roadmap
Morteza Ghobakhloo, Mohammad Iranmanesh, Behzad Foroughi, et al.
Journal of Cleaner Production (2023) Vol. 417, pp. 138023-138023
Open Access | Times Cited: 97

Machine Learning Empowered Emerging Wireless Networks in 6G: Recent Advancements, Challenges and Future Trends
Hafiz Muhammad Fahad Noman, Effariza Hanafi, Kamarul Ariffin Noordin, et al.
IEEE Access (2023) Vol. 11, pp. 83017-83051
Open Access | Times Cited: 24

A secure, private, and explainable IoHT framework to support sustainable health monitoring in a smart city
Md. Abdur Rahman, M. Shamim Hossain, Ahmad Showail, et al.
Sustainable Cities and Society (2021) Vol. 72, pp. 103083-103083
Closed Access | Times Cited: 53

Multi-Task Data Collection With Limited Budget in Edge-Assisted Mobile Crowdsensing
Xiaolong Liu, Honglong Chen, Yuping Liu, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 9, pp. 16845-16858
Closed Access | Times Cited: 6

Multiagent Deep Reinforcement Learning Based Incentive Mechanism for Mobile Crowdsensing in Intelligent Transportation Systems
Mengge Li, Miao Ma, Liang Wang, et al.
IEEE Systems Journal (2024) Vol. 18, Iss. 1, pp. 527-538
Closed Access | Times Cited: 5

Incentive mechanisms for non-proprietary vehicles in vehicular crowdsensing with budget constraints
Z.Y. Feng, Yantao Yu, Guojin Liu, et al.
Computer Communications (2025), pp. 108083-108083
Closed Access

Dynamic User Recruitment in Edge-Aided Mobile Crowdsensing
Yanlin Zhang, Peng Li, Tao Zhang, et al.
IEEE Transactions on Vehicular Technology (2023) Vol. 72, Iss. 7, pp. 9351-9365
Closed Access | Times Cited: 10

A methodology to determine the optimal train-set size for autoencoders applied to energy systems
Piero Danti, Alessandro Innocenti
Advanced Engineering Informatics (2023) Vol. 58, pp. 102139-102139
Closed Access | Times Cited: 9

Region-based compressive distributed storage in Mobile CrowdSensing
Xingting Liu, Siwang Zhou, Jie Luo, et al.
Future Generation Computer Systems (2024) Vol. 158, pp. 200-209
Closed Access | Times Cited: 2

Blockchain-enabled data sharing for IoT: A lightweight, secure and searchable scheme
Qingqing Xie, Fatong Zhu, Xia Feng
Journal of Systems Architecture (2024) Vol. 154, pp. 103230-103230
Closed Access | Times Cited: 2

An Energy-efficient Computing Offloading Framework for Blockchain-enabled Video Streaming Systems
Shijing Yuan, Jie Li, Yuxuan Zhu, et al.
GLOBECOM 2022 - 2022 IEEE Global Communications Conference (2022), pp. 5183-5188
Closed Access | Times Cited: 11

UAV aided NOMA relaying with energy harvesting architecture: Performance analysis
Kaustubh Ranjan Singh, Parul Garg
Physical Communication (2024), pp. 102480-102480
Closed Access | Times Cited: 1

Freshness aware vehicular crowdsensing with multi-agent reinforcement learning
Junhao Ma, Yantao Yu, Guojin Liu, et al.
Computer Networks (2024) Vol. 257, pp. 110978-110978
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.
IEEE Transactions on Services Computing (2023) Vol. 17, Iss. 5, pp. 2597-2612
Open Access | Times Cited: 4

Volatility-based diversity awareness for distributed data storage of Mobile Crowd Sensing
Jiaxin Peng, Siwang Zhou, Liubo Ouyang, et al.
Computer Networks (2024) Vol. 248, pp. 110466-110466
Closed Access

Portfolio-based User Recruitment Mechanism for Crowdsensing in Uncertain and Unpredictable Environments
Jiaqi Liu, Hucheng Xu, Xiaoheng Deng, et al.
IEEE Transactions on Vehicular Technology (2024) Vol. 73, Iss. 11, pp. 17630-17643
Closed Access

A Lightweight Fine-Grained Access Control Scheme with Forward Security for Mobile Crowdsourcing
Keyong Hong, Tao Wang, Zhichao Wang, et al.
(2024), pp. 195-203
Closed Access

Distributed Edge Intelligence Enabled Resource Control in IoV With Use Case in Emergency Healthcare Support
Xiaohong Lyu, Ashu Taneja, Shalli Rani, et al.
IEEE Internet of Things Journal (2024) Vol. 12, Iss. 5, pp. 4761-4772
Closed Access

Automatic Jordanian License Plate Detection and Recognition System Using Deep Learning Techniques
Tharaa Aqaileh, Faisal Alkhateeb
Journal of Imaging (2023) Vol. 9, Iss. 10, pp. 201-201
Open Access | Times Cited: 1

Data Collection Algorithms for Model Training in Internet of Vehicles
Yifei Sun, Jigang Wu, Yalan Wu, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 3, pp. 4102-4115
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

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

IoT Route Planning Based on Spatiotemporal Interactive Attention Neural Network
Linjie Zhang, Xiaoyan Zhu, Jianfeng Ma
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 5, pp. 7697-7709
Closed Access

Predictive Recruitment in Vehicular Crowdsensing Based on Spatial Sensing Strength Analysis Method
Guanyu Yao, Jie Huo, Luhan Wang, et al.
IEEE Transactions on Vehicular Technology (2023) Vol. 73, Iss. 3, pp. 3159-3176
Closed Access

A task allocation and pricing mechanism based on Stackelberg game for edge-assisted crowdsensing
Yuzhou Gao, Bowen Ma, Yajing Leng, et al.
Wireless Networks (2023) Vol. 30, Iss. 8, pp. 6987-7001
Closed Access

Page 1 - Next Page

Scroll to top