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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:

Particle Swarm Optimization for the Vehicle Routing Problem with Stochastic Demands
Yannis Marinakis, Georgia-Roumbini Iordanidou, Magdalene Marinaki
Applied Soft Computing (2013) Vol. 13, Iss. 4, pp. 1693-1704
Closed Access | Times Cited: 175

Showing 1-25 of 175 citing articles:

The vehicle routing problem: State of the art classification and review
Kris Braekers, Katrien Ramaekers, Inneke Van Nieuwenhuyse
Computers & Industrial Engineering (2015) Vol. 99, pp. 300-313
Open Access | Times Cited: 999
Exchange market algorithm
Naser Ghorbani, Ebrahim Babaei
Applied Soft Computing (2014) Vol. 19, pp. 177-187
Closed Access | Times Cited: 241
A taxonomic review of metaheuristic algorithms for solving the vehicle routing problem and its variants
Raafat Elshaer, Hadeer Awad
Computers & Industrial Engineering (2019) Vol. 140, pp. 106242-106242
Closed Access | Times Cited: 232
The green vehicle routing problem: A heuristic based exact solution approach
Çağrı Koç, İsmail Karaoğlan
Applied Soft Computing (2015) Vol. 39, pp. 154-164
Closed Access | Times Cited: 196
Hybrid Fruit-Fly Optimization Algorithm with K-Means for Text Document Clustering
Timea Bezdan, Cătălin Stoean, Ahmed Al Naamany, et al.
Mathematics (2021) Vol. 9, Iss. 16, pp. 1929-1929
Open Access | Times Cited: 105
Artificial Intelligence and Machine Learning and Its Application in the Field of Computational Visual Analysis
Digvijay Pandey, Vinay Kumar Nassa, Binay Kumar Pandey, et al.
Advances in civil and industrial engineering book series (2024), pp. 36-57
Closed Access | Times Cited: 46
Integrated internal truck, yard crane and quay crane scheduling in a container terminal considering energy consumption
Junliang He, Youfang Huang, Wei Yan, et al.
Expert Systems with Applications (2014) Vol. 42, Iss. 5, pp. 2464-2487
Open Access | Times Cited: 184
The stochastic vehicle routing problem, a literature review, part I: models
Jorge Oyola, Halvard Arntzen, David L. Woodruff
EURO Journal on Transportation and Logistics (2016) Vol. 7, Iss. 3, pp. 193-221
Open Access | Times Cited: 140
A novel multi-swarm particle swarm optimization with dynamic learning strategy
Wenxing Ye, Weiying Feng, Suohai Fan
Applied Soft Computing (2017) Vol. 61, pp. 832-843
Closed Access | Times Cited: 132
A multi-adaptive particle swarm optimization for the vehicle routing problem with time windows
Yannis Marinakis, Magdalene Marinaki, Athanasios Migdalas
Information Sciences (2019) Vol. 481, pp. 311-329
Closed Access | Times Cited: 130
A novel location-routing problem in electric vehicle transportation with stochastic demands
Shuai Zhang, Mingzhou Chen, Wenyu Zhang
Journal of Cleaner Production (2019) Vol. 221, pp. 567-581
Closed Access | Times Cited: 122
Yard crane scheduling in a container terminal for the trade-off between efficiency and energy consumption
Junliang He, Youfang Huang, Wei Yan
Advanced Engineering Informatics (2014) Vol. 29, Iss. 1, pp. 59-75
Closed Access | Times Cited: 120
Multi-depot green vehicle routing problem with shared transportation resource: Integration of time-dependent speed and piecewise penalty cost
Yong Wang, Kevin Assogba, Jianxin Fan, et al.
Journal of Cleaner Production (2019) Vol. 232, pp. 12-29
Closed Access | Times Cited: 110
A Glowworm Swarm Optimization algorithm for the Vehicle Routing Problem with Stochastic Demands
Magdalene Marinaki, Yannis Marinakis
Expert Systems with Applications (2015) Vol. 46, pp. 145-163
Closed Access | Times Cited: 105
An intelligent model for assuring food quality in managing a multi-temperature food distribution centre
Y.P. Tsang, K.L. Choy, C.H. Wu, et al.
Food Control (2018) Vol. 90, pp. 81-97
Open Access | Times Cited: 104
Low-discrepancy sequence initialized particle swarm optimization algorithm with high-order nonlinear time-varying inertia weight
Chengwei Yang, Wei Gao, Nengguang Liu, et al.
Applied Soft Computing (2015) Vol. 29, pp. 386-394
Closed Access | Times Cited: 97
The stochastic vehicle routing problem, a literature review, Part II: solution methods
Jorge Oyola, Halvard Arntzen, David L. Woodruff
EURO Journal on Transportation and Logistics (2016) Vol. 6, Iss. 4, pp. 349-388
Open Access | Times Cited: 92
Building a collaborative solution in dense urban city settings to enhance parcel delivery: An effective crowd model in Paris
Hakim Akeb, Btissam Moncef, Bruno Durand
Transportation Research Part E Logistics and Transportation Review (2018) Vol. 119, pp. 223-233
Closed Access | Times Cited: 89
The impact of particular components of the PSO-based algorithm solving the Dynamic Vehicle Routing Problem
Michał Okulewicz, Jacek Mańdziuk
Applied Soft Computing (2017) Vol. 58, pp. 586-604
Closed Access | Times Cited: 88
Hybrid particle swarm optimization algorithm for solving the clustered vehicle routing problem
Md. Anisul Islam, Yuvraj Gajpal, Tarek Y. ElMekkawy
Applied Soft Computing (2021) Vol. 110, pp. 107655-107655
Closed Access | Times Cited: 81
Driving into the future: a cross-cutting analysis of distributed artificial intelligence, CCAM and the platform economy
Marc Guerreiro Augusto, Benjamin Acar, Andrea Carolina Soto, et al.
Autonomous Intelligent Systems (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 9
Two-echelon logistics distribution region partitioning problem based on a hybrid particle swarm optimization–genetic algorithm
Yong Wang, Xiaolei Ma, Maozeng Xu, et al.
Expert Systems with Applications (2015) Vol. 42, Iss. 12, pp. 5019-5031
Closed Access | Times Cited: 82
A Dynamic Logistic Dispatching System With Set-Based Particle Swarm Optimization
Ya-Hui Jia, Wei‐Neng Chen, Tianlong Gu, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2017) Vol. 48, Iss. 9, pp. 1607-1621
Open Access | Times Cited: 79
Joint order batching and picker Manhattan routing problem
Chun‐Cheng Lin, Jia-Rong Kang, Chung-Chih Hou, et al.
Computers & Industrial Engineering (2016) Vol. 95, pp. 164-174
Closed Access | Times Cited: 76
Routing fleets with multiple driving ranges: Is it possible to use greener fleet configurations?
Ángel A. Juan, Jarrod Goentzel, Tolga Bektaş
Applied Soft Computing (2014) Vol. 21, pp. 84-94
Closed Access | Times Cited: 72
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