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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 Spark-based genetic algorithm for sensor placement in large scale drinking water distribution systems
Chengyu Hu, Guorui Ren, Chao Liu, et al.
Cluster Computing (2017) Vol. 20, Iss. 2, pp. 1089-1099
Closed Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

An efficient multi-objective optimization method for water quality sensor placement within water distribution systems considering contamination probability variations
Guilin He, Tuqiao Zhang, Feifei Zheng, et al.
Water Research (2018) Vol. 143, pp. 165-175
Closed Access | Times Cited: 64
Modified NSGA-III for sensor placement in water distribution system
Chengyu Hu, Liguo Dai, Xuesong Yan, et al.
Information Sciences (2018) Vol. 509, pp. 488-500
Closed Access | Times Cited: 61
Population based metaheuristics in Spark: Towards a general framework using PSO as a case study
Xoán C. Pardo, Patricia González, Julio R. Banga, et al.
Swarm and Evolutionary Computation (2024) Vol. 85, pp. 101483-101483
Open Access | Times Cited: 6
Assessing the global resilience of water quality sensor placement strategies within water distribution systems
Qingzhou Zhang, Feifei Zheng, Zoran Kapelan, et al.
Water Research (2020) Vol. 172, pp. 115527-115527
Open Access | Times Cited: 44
Multi-criteria method for the realistic placement of water quality sensors on pipes of water distribution systems
Carlo Giudicianni, Manuel Herrera, Armando Di Nardo, et al.
Environmental Modelling & Software (2022) Vol. 152, pp. 105405-105405
Open Access | Times Cited: 22
A parallel metaheuristic data clustering framework for cloud
Chun‐Wei Tsai, Shi-Jui Liu, Yi‐Chung Wang
Journal of Parallel and Distributed Computing (2017) Vol. 116, pp. 39-49
Closed Access | Times Cited: 34
Spark-IDPP: high-throughput and scalable prediction of intrinsically disordered protein regions with Spark clusters on the Cloud
Dariusz Mrozek, Tomasz Baron, Dariusz Mrozek
Cluster Computing (2018) Vol. 22, Iss. 2, pp. 487-508
Open Access | Times Cited: 32
Contaminant source identification of water distribution networks using cultural algorithm
Xuesong Yan, Wenyin Gong, Qinghua Wu
Concurrency and Computation Practice and Experience (2017) Vol. 29, Iss. 24
Closed Access | Times Cited: 30
A multi-objective optimization method based on NSGA-III for water quality sensor placement with the aim of reducing potential contamination of important nodes
Hamideh Jafari, Sara Nazif, Taher Rajaee
Water Science & Technology Water Supply (2021) Vol. 22, Iss. 1, pp. 928-944
Open Access | Times Cited: 18
Sensor Partitioning Placements via Random Walk and Water Quality and Leakage Detection Models within Water Distribution Systems
Tianwei Mu, Manhong Huang, Shi Tang, et al.
Water Resources Management (2022) Vol. 36, Iss. 13, pp. 5297-5311
Closed Access | Times Cited: 11
Selecting the best location of water quality sensors in water distribution networks by considering the importance of nodes and contaminations using NSGA-III (case study: Zahedan water distribution network, Iran)
Siroos harif, Gholamreza Azizyan, Mohsen Dehghani Darmian, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 18, pp. 53229-53252
Open Access | Times Cited: 6
Deep reinforcement learning based valve scheduling for pollution isolation in water distribution network
Chengyu Hu, Junyi Cai, Deze Zeng, et al.
Mathematical Biosciences & Engineering (2019) Vol. 17, Iss. 1, pp. 105-121
Open Access | Times Cited: 14
Optimal Sensor Placement for Leak Location in Water Distribution Networks based on Graph Learning algorithm
Juan Li, Baoyi Cai
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 116123-116123
Open Access | Times Cited: 1
RETRACTED: A novel physical education environment platform using Internet of Things and multimedia technology
Ji-Yun Cai, Pingping Zhang, Tan Xu
International Journal of Electrical Engineering Education (2019) Vol. 60, Iss. 1_suppl, pp. 1306-1319
Closed Access | Times Cited: 13
Optimization of Canal Water in an Irrigation Network Based on a Genetic Algorithm: A Case Study of the North China Plain Canal System
Weiwei Yao, Xiaoyi Ma, Yuansheng Chen
Irrigation and Drainage (2019) Vol. 68, Iss. 4, pp. 629-636
Closed Access | Times Cited: 12
A Hybrid Fuzzy-Probabilistic Bargaining Approach for Multi-objective Optimization of Contamination Warning Sensors in Water Distribution Systems
Sareh S. Naserizade, Mohammad Reza Nikoo, H Montaseri, et al.
Group Decision and Negotiation (2021) Vol. 30, Iss. 3, pp. 641-663
Closed Access | Times Cited: 11
A real-time Decision Support System for Big Data Analytic: A case of Dynamic Vehicle Routing Problems
Ines Sbai, Saoussen Krichen
Procedia Computer Science (2020) Vol. 176, pp. 938-947
Open Access | Times Cited: 11
Dynamic Scheduling Algorithm Based on Evolutionary Reinforcement Learning for Sudden Contaminant Events Under Uncertain Environment
Chengyu Hu, Rui Qiao, Zhe Zhang, et al.
Complex System Modeling and Simulation (2022) Vol. 2, Iss. 3, pp. 213-223
Open Access | Times Cited: 7
Pressure and Water Quality Integrated Sensor Placement Considering Leakage and Contamination Intrusion within Water Distribution Systems
Tianwei Mu, Manhong Huang, Haoqiang Tan, et al.
ACS ES&T Water (2021) Vol. 1, Iss. 11, pp. 2348-2358
Closed Access | Times Cited: 9
Big optimization with genetic algorithms: Hadoop, Spark, and MPI
Carolina Salto, Gabriela F. Minetti, Enrique Alba, et al.
Soft Computing (2023) Vol. 27, Iss. 16, pp. 11469-11484
Open Access | Times Cited: 3
Using data mining techniques to isolate chemical intrusion in water distribution systems
Daniel Barros, Sandra Maria Cardoso, Eva Oliveira, et al.
Environmental Monitoring and Assessment (2022) Vol. 194, Iss. 3
Closed Access | Times Cited: 5
Scalable Distributed Genetic Algorithm Using Apache Spark (S-GA)
Fahad Maqbool, Saad Razzaq, Jens Lehmann, et al.
Lecture notes in computer science (2019), pp. 424-435
Closed Access | Times Cited: 7
An investigation of the possible scenarios for the optimal locating of quality sensors in the water distribution networks with uncertain contamination
Hamideh Jafari, Taher Rajaee, Sara Nazif
Journal of Water and Health (2020) Vol. 18, Iss. 5, pp. 704-721
Open Access | Times Cited: 6
Evaluating the Robustness of Water Quality Sensor Placement Strategies of Water Distribution Systems Considering Possible Sensor Failures and System Changes
Zixuan Zheng, Feifei Zheng, Weiwei Bi, et al.
Journal of Water Resources Planning and Management (2022) Vol. 148, Iss. 10
Open Access | Times Cited: 4
Mathematical modeling and simulated annealing algorithm for spatial layout problem
Liupeng Jiang, Jie Ji, Yuhua Lu, et al.
Cluster Computing (2018) Vol. 22, Iss. S3, pp. 6383-6391
Closed Access | Times Cited: 4
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