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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:

MOELS: Multiobjective Evolutionary List Scheduling for Cloud Workflows
Quanwang Wu, MengChu Zhou, Qingsheng Zhu, et al.
IEEE Transactions on Automation Science and Engineering (2019) Vol. 17, Iss. 1, pp. 166-176
Closed Access | Times Cited: 112

Showing 1-25 of 112 citing articles:

AI-based modeling and data-driven evaluation for smart manufacturing processes
Mohammadhossein Ghahramani, Yan Qiao, Meng Chu Zhou, et al.
IEEE/CAA Journal of Automatica Sinica (2020) Vol. 7, Iss. 4, pp. 1026-1037
Open Access | Times Cited: 256
Stochastic Hybrid Discrete Grey Wolf Optimizer for Multi-Objective Disassembly Sequencing and Line Balancing Planning in Disassembling Multiple Products
Xiwang Guo, Zhiwei Zhang, Liang Qi, et al.
IEEE Transactions on Automation Science and Engineering (2021) Vol. 19, Iss. 3, pp. 1744-1756
Closed Access | Times Cited: 122
A Two-Stage Estimation of Distribution Algorithm With Heuristics for Energy-Aware Cloud Workflow Scheduling
Yi Xie, Xueyi Wang, Zi-Jun Shen, et al.
IEEE Transactions on Services Computing (2023) Vol. 16, Iss. 6, pp. 4183-4197
Closed Access | Times Cited: 57
A Hybrid Probabilistic Multiobjective Evolutionary Algorithm for Commercial Recommendation Systems
Guoshuai Wei, Quanwang Wu, MengChu Zhou
IEEE Transactions on Computational Social Systems (2021) Vol. 8, Iss. 3, pp. 589-598
Closed Access | Times Cited: 77
An adaptive decoding biased random key genetic algorithm for cloud workflow scheduling
Yi Xie, Yuhan Sheng, Moqi Qiu, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 112, pp. 104879-104879
Closed Access | Times Cited: 63
A Bi-population Cooperative Optimization Algorithm Assisted by an Autoencoder for Medium-scale Expensive Problems
Meiji Cui, Li Li, MengChu Zhou, et al.
IEEE/CAA Journal of Automatica Sinica (2022) Vol. 9, Iss. 11, pp. 1952-1966
Closed Access | Times Cited: 41
Reliability-Aware Multi-Objective Memetic Algorithm for Workflow Scheduling Problem in Multi-Cloud System
Shuo Qin, Dechang Pi, Zhongshi Shao, et al.
IEEE Transactions on Parallel and Distributed Systems (2023) Vol. 34, Iss. 4, pp. 1343-1361
Closed Access | Times Cited: 29
Monte Carlo Simulation-Based Robust Workflow Scheduling for Spot Instances in Cloud Environments
Quanwang Wu, Jianzhao Fang, Jie Zeng, et al.
Tsinghua Science & Technology (2023) Vol. 29, Iss. 1, pp. 112-126
Open Access | Times Cited: 26
An improved beluga whale optimization using ring topology for solving multi-objective task scheduling in cloud
Behnam Mohammad Hasani Zade, N. Mansouri, Mohammad Masoud Javidi
Computers & Industrial Engineering (2025), pp. 110836-110836
Closed Access | Times Cited: 1
Revenue and Energy Cost-Optimized Biobjective Task Scheduling for Green Cloud Data Centers
Haitao Yuan, Heng Liu, Jing Bi, et al.
IEEE Transactions on Automation Science and Engineering (2020) Vol. 18, Iss. 2, pp. 817-830
Closed Access | Times Cited: 65
Information-Utilization-Method-Assisted Multimodal Multiobjective Optimization and Application to Credit Card Fraud Detection
Shoufei Han, Kun Zhu, MengChu Zhou, et al.
IEEE Transactions on Computational Social Systems (2021) Vol. 8, Iss. 4, pp. 856-869
Closed Access | Times Cited: 50
Deep Adversarial Imitation Reinforcement Learning for QoS-Aware Cloud Job Scheduling
Yifeng Huang, Long Cheng, Lianting Xue, et al.
IEEE Systems Journal (2021) Vol. 16, Iss. 3, pp. 4232-4242
Closed Access | Times Cited: 47
Multi-Swarm Co-Evolution Based Hybrid Intelligent Optimization for Bi-Objective Multi-Workflow Scheduling in the Cloud
Huifang Li, Danjing Wang, MengChu Zhou, et al.
IEEE Transactions on Parallel and Distributed Systems (2021) Vol. 33, Iss. 9, pp. 2183-2197
Closed Access | Times Cited: 45
A New Particle Swarm Optimization Algorithm for Outlier Detection: Industrial Data Clustering in Wire Arc Additive Manufacturing
Jingzhong Fang, Zidong Wang, Weibo Liu, et al.
IEEE Transactions on Automation Science and Engineering (2022) Vol. 21, Iss. 2, pp. 1244-1257
Open Access | Times Cited: 35
Privacy and security-aware workflow scheduling in a hybrid cloud
Jian Lei, Quanwang Wu, Jin Xu
Future Generation Computer Systems (2022) Vol. 131, pp. 269-278
Closed Access | Times Cited: 30
Damping-Assisted Evolutionary Swarm Intelligence for Industrial IoT Task Scheduling in Cloud Computing
Ahmed G. Gad, Essam H. Houssein, MengChu Zhou, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 1, pp. 1698-1710
Open Access | Times Cited: 18
MONWS: Multi-Objective Normalization Workflow Scheduling for Cloud Computing
Vamsheedhar Reddy Pillareddy, Ganesh Reddy Karri
Applied Sciences (2023) Vol. 13, Iss. 2, pp. 1101-1101
Open Access | Times Cited: 16
A dynamic multipopulation genetic algorithm for multiobjective workflow scheduling based on the longest common sequence
Huixian Qiu, Xuewen Xia, Yuanxiang Li, et al.
Swarm and Evolutionary Computation (2023) Vol. 78, pp. 101291-101291
Closed Access | Times Cited: 16
A Cost-Driven Intelligence Scheduling Approach for Deadline-Constrained IoT Workflow Applications in Cloud Computing
Lingjuan Ye, Liwen Yang, Yuanqing Xia, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 9, pp. 16033-16047
Closed Access | Times Cited: 6
A Novel Cost-Efficient Framework for Critical Heartbeat Task Scheduling Using the Internet of Medical Things in a Fog Cloud System
Qurat-ul-ain Mastoi, Teh Ying Wah, Ram Gopal Raj, et al.
Sensors (2020) Vol. 20, Iss. 2, pp. 441-441
Open Access | Times Cited: 44
A Two-stage Multi-population Genetic Algorithm with Heuristics for Workflow Scheduling in Heterogeneous Distributed Computing Environments
Yi Xie, Feng-Xian Gui, Weijun Wang, et al.
IEEE Transactions on Cloud Computing (2021) Vol. 11, Iss. 2, pp. 1446-1460
Closed Access | Times Cited: 37
Chaotic-Nondominated-Sorting Owl Search Algorithm for Energy-Aware Multi-Workflow Scheduling in Hybrid Clouds
Huifang Li, Guanghao Xu, Danjing Wang, et al.
IEEE Transactions on Sustainable Computing (2022) Vol. 7, Iss. 3, pp. 595-608
Closed Access | Times Cited: 24
Firefly algorithm and learning-based geographical task scheduling for operational cost minimization in distributed green data centers
Ahmed Chiheb Ammari, Wael Labidi, Faisal Mnif, et al.
Neurocomputing (2022) Vol. 490, pp. 146-162
Closed Access | Times Cited: 23
A Fully Hybrid Algorithm for Deadline Constrained Workflow Scheduling in Clouds
Liwen Yang, Yuanqing Xia, Lingjuan Ye, et al.
IEEE Transactions on Cloud Computing (2023) Vol. 11, Iss. 3, pp. 3197-3210
Closed Access | Times Cited: 14
Bi-objective Workflow Scheduling in the Cloud: What is the Real State-of-the-Art?
Yury Semenov, Oleg Sukhoroslov
Lecture notes in computer science (2025), pp. 20-31
Closed Access
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