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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:

Computing with the collective intelligence of honey bees – A survey
Rajasekhar Anguluri, Nandar Lynn, Swagatam Das, et al.
Swarm and Evolutionary Computation (2016) Vol. 32, pp. 25-48
Open Access | Times Cited: 119

Showing 1-25 of 119 citing articles:

A novel nature-inspired algorithm for optimization: Squirrel search algorithm
Mohit Jain, Vijander Singh, Asha Rani
Swarm and Evolutionary Computation (2018) Vol. 44, pp. 148-175
Closed Access | Times Cited: 827
Bio-inspired computation: Where we stand and what's next
Javier Del Ser, Eneko Osaba, Daniel Molina, et al.
Swarm and Evolutionary Computation (2019) Vol. 48, pp. 220-250
Open Access | Times Cited: 527
A hybrid intrusion detection system based on ABC-AFS algorithm for misuse and anomaly detection
Vajiheh Hajisalem, Shahram Babaie
Computer Networks (2018) Vol. 136, pp. 37-50
Closed Access | Times Cited: 258
A path planning approach for crowd evacuation in buildings based on improved artificial bee colony algorithm
Hong Liu, Bin Xu, Dianjie Lu, et al.
Applied Soft Computing (2018) Vol. 68, pp. 360-376
Closed Access | Times Cited: 238
A hybrid ant colony optimization algorithm for a multi-objective vehicle routing problem with flexible time windows
Huizhen Zhang, Qinwan Zhang, Ma Liang, et al.
Information Sciences (2019) Vol. 490, pp. 166-190
Closed Access | Times Cited: 198
A survey of swarm and evolutionary computing approaches for deep learning
Ashraf Darwish, Aboul Ella Hassanien, Swagatam Das
Artificial Intelligence Review (2019) Vol. 53, Iss. 3, pp. 1767-1812
Closed Access | Times Cited: 152
A memetic algorithm based on two_Arch2 for multi-depot heterogeneous-vehicle capacitated arc routing problem
Bin Cao, Weizheng Zhang, Xuesong Wang, et al.
Swarm and Evolutionary Computation (2021) Vol. 63, pp. 100864-100864
Closed Access | Times Cited: 129
A swap sequence based Artificial Bee Colony algorithm for Traveling Salesman Problem
Indadul Khan, Manas Kumar Maiti
Swarm and Evolutionary Computation (2018) Vol. 44, pp. 428-438
Closed Access | Times Cited: 121
A survey on meta-heuristics for solving disassembly line balancing, planning and scheduling problems in remanufacturing
Kaizhou Gao, Zimiao He, Yun Huang, et al.
Swarm and Evolutionary Computation (2020) Vol. 57, pp. 100719-100719
Closed Access | Times Cited: 109
Image contrast enhancement using an artificial bee colony algorithm
Jia Chen, Weiyu Yu, Jing Tian, et al.
Swarm and Evolutionary Computation (2017) Vol. 38, pp. 287-294
Closed Access | Times Cited: 101
Multiple adaptive strategies based particle swarm optimization algorithm
Bo Wei, Xuewen Xia, Fei Yu, et al.
Swarm and Evolutionary Computation (2020) Vol. 57, pp. 100731-100731
Closed Access | Times Cited: 97
Profit maximizing logistic model for customer churn prediction using genetic algorithms
Eugen Stripling, Seppe vanden Broucke, Katrien Antonio, et al.
Swarm and Evolutionary Computation (2017) Vol. 40, pp. 116-130
Open Access | Times Cited: 95
Ant-TD: Ant colony optimization plus temporal difference reinforcement learning for multi-label feature selection
Mohsen Paniri, Mohammad Bagher Dowlatshahi, Hossein Nezamabadi‐pour
Swarm and Evolutionary Computation (2021) Vol. 64, pp. 100892-100892
Closed Access | Times Cited: 91
A novel artificial bee colony algorithm with an adaptive population size for numerical function optimization
Laizhong Cui, Genghui Li, Zexuan Zhu, et al.
Information Sciences (2017) Vol. 414, pp. 53-67
Closed Access | Times Cited: 89
Self-adaptive differential artificial bee colony algorithm for global optimization problems
Xu Chen, Huaglory Tianfield, Kangji Li
Swarm and Evolutionary Computation (2019) Vol. 45, pp. 70-91
Open Access | Times Cited: 78
A wrapper‐based feature selection for improving performance of intrusion detection systems
Maryam Samadi Bonab, Ali Ghaffari, Farhad Soleimanian Gharehchopogh, et al.
International Journal of Communication Systems (2020) Vol. 33, Iss. 12
Closed Access | Times Cited: 77
Bee-foraging learning particle swarm optimization
Xu Chen, H Tianfield, Wenli Du
Applied Soft Computing (2021) Vol. 102, pp. 107134-107134
Open Access | Times Cited: 62
Swarm Intelligence inspired Intrusion Detection Systems — A systematic literature review
Muhammad Nasir, Salman A. Khan, Muhammad Mubashir Khan, et al.
Computer Networks (2022) Vol. 205, pp. 108708-108708
Closed Access | Times Cited: 57
Dynamic ensemble deep echo state network for significant wave height forecasting
Ruobin Gao, Ruilin Li, Minghui Hu, et al.
Applied Energy (2022) Vol. 329, pp. 120261-120261
Closed Access | Times Cited: 56
Solving the dynamic weapon target assignment problem by an improved artificial bee colony algorithm with heuristic factor initialization
Tianqing Chang, Depeng Kong, Na Hao, et al.
Applied Soft Computing (2018) Vol. 70, pp. 845-863
Closed Access | Times Cited: 79
Movie recommender system with metaheuristic artificial bee
Rahul Katarya
Neural Computing and Applications (2018) Vol. 30, Iss. 6, pp. 1983-1990
Closed Access | Times Cited: 67
Swarm intelligence for clustering — A systematic review with new perspectives on data mining
Elliackin Figueiredo, Mariana Macedo, Hugo Valadares Siqueira, et al.
Engineering Applications of Artificial Intelligence (2019) Vol. 82, pp. 313-329
Closed Access | Times Cited: 66
QoS provisioning framework for service-oriented internet of things (IoT)
Mahmoud Badawy, Zainab H. Ali, Hesham Ali
Cluster Computing (2019) Vol. 23, Iss. 2, pp. 575-591
Closed Access | Times Cited: 56
Modelling and scheduling integration of distributed production and distribution problems via black widow optimization
Yaping Fu, Yushuang Hou, Zhenghua Chen, et al.
Swarm and Evolutionary Computation (2021) Vol. 68, pp. 101015-101015
Closed Access | Times Cited: 44
An ACO for energy-efficient and traffic-aware virtual machine placement in cloud computing
Huanlai Xing, Jing Zhu, Rong Qu, et al.
Swarm and Evolutionary Computation (2021) Vol. 68, pp. 101012-101012
Closed Access | Times Cited: 42
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