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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:

A modified flower pollination algorithm for the multidimensional knapsack problem: human-centric decision making
Mohamed Abdel‐Basset, Syed Bilal Hussain Shah, Ibrahim Elhenawy, et al.
Soft Computing (2017) Vol. 22, Iss. 13, pp. 4221-4239
Closed Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Artificial Intelligence-Based Robust Hybrid Algorithm Design and Implementation for Real-Time Detection of Plant Diseases in Agricultural Environments
İlayda Yağ, Aytaç Altan
Biology (2022) Vol. 11, Iss. 12, pp. 1732-1732
Open Access | Times Cited: 204
An enhanced associative learning-based exploratory whale optimizer for global optimization
Ali Asghar Heidari, Ibrahim Aljarah, Hossam Faris, et al.
Neural Computing and Applications (2019) Vol. 32, Iss. 9, pp. 5185-5211
Closed Access | Times Cited: 137
A novel group decision making model based on neutrosophic sets for heart disease diagnosis
Mohamed Abdel‐Basset, Abduallah Gamal, Gunasekaran Manogaran, et al.
Multimedia Tools and Applications (2019) Vol. 79, Iss. 15-16, pp. 9977-10002
Closed Access | Times Cited: 116
A competitive chain-based Harris Hawks Optimizer for global optimization and multi-level image thresholding problems
Mohamed Abd Elaziz, Ali Asghar Heidari, Hamido Fujita, et al.
Applied Soft Computing (2020) Vol. 95, pp. 106347-106347
Closed Access | Times Cited: 107
A modified nature inspired meta-heuristic whale optimization algorithm for solving 0–1 knapsack problem
Mohamed Abdel‐Basset, Syed Bilal Hussain Shah, Arun Kumar Sangaiah
International Journal of Machine Learning and Cybernetics (2017) Vol. 10, Iss. 3, pp. 495-514
Closed Access | Times Cited: 94
Island flower pollination algorithm for global optimization
Mohammed Azmi Al‐Betar, Mohammed A. Awadallah, Iyad Abu Doush, et al.
The Journal of Supercomputing (2019) Vol. 75, Iss. 8, pp. 5280-5323
Closed Access | Times Cited: 51
An efficient binary spider wasp optimizer for multi-dimensional knapsack instances: experimental validation and analysis
Mohamed Abdel-Basset, Reda Mohamed, Karam M. Sallam, et al.
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access
An extensive review of computational intelligence-based optimization algorithms: trends and applications
Lavika Goel
Soft Computing (2020) Vol. 24, Iss. 21, pp. 16519-16549
Closed Access | Times Cited: 32
Flower pollination algorithm parameters tuning
Panagiotis E. Mergos, Xin‐She Yang
Soft Computing (2021) Vol. 25, Iss. 22, pp. 14429-14447
Open Access | Times Cited: 28
A novel improved antlion optimizer algorithm and its comparative performance
Haydar Kılıç, Uğur Yüzgeç, Cihan Karakuzu
Neural Computing and Applications (2018) Vol. 32, Iss. 8, pp. 3803-3824
Closed Access | Times Cited: 29
Analysing the effects of various switching probability characteristics in flower pollination algorithm for solving unconstrained function minimization problems
Fehmi Burçin Özsoydan, Adil Baykasoğlu
Neural Computing and Applications (2018) Vol. 31, Iss. 11, pp. 7805-7819
Closed Access | Times Cited: 25
Discrete flower pollination algorithm for patient admission scheduling problem
Zahraa A. Abdalkareem, Mohammed Azmi Al‐Betar, Amiza Amir, et al.
Computers in Biology and Medicine (2021) Vol. 141, pp. 105007-105007
Closed Access | Times Cited: 19
Flower pollination algorithm with pollinator attraction
Panagiotis E. Mergos, Xin‐She Yang
Evolutionary Intelligence (2022) Vol. 16, Iss. 3, pp. 873-889
Closed Access | Times Cited: 12
Modeling and Optimization of a Liquid Flow Process using an Artificial Neural Network-Based Flower Pollination Algorithm
Pijush Dutta, Asok Kumar
Journal of Intelligent Systems (2018) Vol. 29, Iss. 1, pp. 787-798
Open Access | Times Cited: 17
A gradual weight-based ant colony approach for solving the multiobjective multidimensional knapsack problem
Imen Ben Mansour, Inès Alaya, Moncef Tagina
Evolutionary Intelligence (2019) Vol. 12, Iss. 2, pp. 253-272
Closed Access | Times Cited: 17
A Pareto evolutionary algorithm based on incremental learning for a kind of multi-objective multidimensional knapsack problem
Rong-juan Luo, Wang Jia, Baolin Zhu
Computers & Industrial Engineering (2019) Vol. 135, pp. 537-559
Closed Access | Times Cited: 16
A new multi-objective optimization algorithm based on combined swarm intelligence and Monte Carlo simulation
Kangkang Zhang, Yan Song
Information Sciences (2022) Vol. 610, pp. 759-776
Closed Access | Times Cited: 9
A novel modified flower pollination algorithm for global optimization
Fouad Allouani, Xiao‐Zhi Gao
Neural Computing and Applications (2018) Vol. 31, Iss. 8, pp. 3875-3908
Closed Access | Times Cited: 15
An efficient hybrid meta-heuristic approach for cell formation problem
Madhusudana Rao Nalluri, K. Kannan, Xiao‐Zhi Gao, et al.
Soft Computing (2019) Vol. 23, Iss. 19, pp. 9189-9213
Closed Access | Times Cited: 13
Improved Flower Pollination Algorithm and Its Application in User Identification Across Social Networks
Wenjing Li, Zhiming He, Jian Zheng, et al.
IEEE Access (2019) Vol. 7, pp. 44359-44371
Open Access | Times Cited: 11
Meta-Heuristics Algorithms: A Survey
Ibrahim Elhenawy, Nagham Ahmed
International Journal of Computer Applications (2018) Vol. 179, Iss. 22, pp. 45-54
Open Access | Times Cited: 10
Optimization of Just-In-Sequence Supply: A Flower Pollination Algorithm-Based Approach
Tamás Bányai, Béla Illés, Miklós Gubán, et al.
Sustainability (2019) Vol. 11, Iss. 14, pp. 3850-3850
Open Access | Times Cited: 10
A novel multi-objective mutation flower pollination algorithm for the optimization of industrial enterprise R&D investment allocation
Yan Song, Kangkang Zhang, Xianpei Hong, et al.
Applied Soft Computing (2021) Vol. 109, pp. 107530-107530
Closed Access | Times Cited: 7
Quick flower pollination algorithm (QFPA) and its performance on neural network training
Ebubekir Kaya
Soft Computing (2022) Vol. 26, Iss. 18, pp. 9729-9750
Closed Access | Times Cited: 4
Nature-inspired optimization algorithms in knapsack problem: A review
Ghalya Tawfeeq Basheer, Zakariya Yahya Algamal
IRAQI JOURNAL OF STATISTICAL SCIENCES (2019) Vol. 16, Iss. 30, pp. 55-72
Open Access | Times Cited: 5
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