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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:

Prognostication of waste water treatment plant performance using efficient soft computing models: An environmental evaluation
Mohammad Najafzadeh, Maryam Zeinolabedini
Measurement (2019) Vol. 138, pp. 690-701
Closed Access | Times Cited: 67

Showing 1-25 of 67 citing articles:

Application of artificial intelligence to wastewater treatment: A bibliometric analysis and systematic review of technology, economy, management, and wastewater reuse
Lin Zhao, Tianjiao Dai, Zhi Qiao, et al.
Process Safety and Environmental Protection (2019) Vol. 133, pp. 169-182
Closed Access | Times Cited: 338
Machine learning in natural and engineered water systems
Ruixing Huang, Chengxue Ma, Jun Ma, et al.
Water Research (2021) Vol. 205, pp. 117666-117666
Closed Access | Times Cited: 188
Integrating water quality and operation into prediction of water production in drinking water treatment plants by genetic algorithm enhanced artificial neural network
Yanyang Zhang, Xiang Gao, Kate Smith‐Miles, et al.
Water Research (2019) Vol. 164, pp. 114888-114888
Closed Access | Times Cited: 148
Artificial neural networks for water quality soft-sensing in wastewater treatment: a review
Gongming Wang, Qing‐Shan Jia, MengChu Zhou, et al.
Artificial Intelligence Review (2021) Vol. 55, Iss. 1, pp. 565-587
Closed Access | Times Cited: 126
Data to intelligence: The role of data-driven models in wastewater treatment
Majid Bahramian, Recep Kaan Dereli, Wanqing Zhao, et al.
Expert Systems with Applications (2022) Vol. 217, pp. 119453-119453
Open Access | Times Cited: 94
Applications of machine learning to water resources management: A review of present status and future opportunities
Ashraf Ahmed, Sakina Sayed, Antoifi Abdoulhalik, et al.
Journal of Cleaner Production (2024) Vol. 441, pp. 140715-140715
Open Access | Times Cited: 50
Prediction of effluent quality in a wastewater treatment plant by dynamic neural network modeling
Yongkui Yang, Kyong-Ryong Kim, Rongrong Kou, et al.
Process Safety and Environmental Protection (2021) Vol. 158, pp. 515-524
Closed Access | Times Cited: 70
Water and wastewater quality prediction: current trends and challenges in the implementation of artificial neural network
Anuja Jadhav, Pranav D. Pathak, Roshani Raut
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 2
Closed Access | Times Cited: 24
Optimizing wastewater treatment through artificial intelligence: recent advances and future prospects
Mudita Nagpal, Miran Ahmad Siddique, Khushi Sharma, et al.
Water Science & Technology (2024) Vol. 90, Iss. 3, pp. 731-757
Closed Access | Times Cited: 7
The use of artificial intelligence models in the prediction of optimum operational conditions for the treatment of dye wastewaters with similar structural characteristics
Alain R. Picos-Benítez, Blanca L. Martínez-Vargas, S.M. Durón-Torres, et al.
Process Safety and Environmental Protection (2020) Vol. 143, pp. 36-44
Closed Access | Times Cited: 54
Forecasting of iron ore sintering quality index: A latent variable method with deep inner structure
Chong Yang, Chunjie Yang, Junfang Li, et al.
Computers in Industry (2022) Vol. 141, pp. 103713-103713
Closed Access | Times Cited: 30
Prediction of Wastewater Treatment Plant Effluent Water Quality Using Recurrent Neural Network (RNN) Models
Praewa Wongburi, Jae K. Park
Water (2023) Vol. 15, Iss. 19, pp. 3325-3325
Open Access | Times Cited: 19
Monitoring domestic water consumption: a comparative study of model-based and data-driven end-use disaggregation methods
Pavlos Pavlou, Stylianos Filippou, Solon Solonos, et al.
Journal of Hydroinformatics (2024) Vol. 26, Iss. 4, pp. 709-726
Open Access | Times Cited: 5
Importance Analysis of Key Parameters for Coagulation Dosage Prediction Based on Machine Learning Models
Shijie Wang, Pinkun He, Yaning Yang, et al.
(2025)
Closed Access
Simulation of the biochemical and chemical oxygen demand and total suspended solids in wastewater treatment plants: Data-mining approach
H. Asami, Mona Golabi, Mohammad Albaji
Journal of Cleaner Production (2021) Vol. 296, pp. 126533-126533
Closed Access | Times Cited: 38
Characterization and removal of microplastics in a sewage treatment plant from urban Nagpur, India
Sakshi Patil, Pooja Kamdi, Soumya Chakraborty, et al.
Environmental Monitoring and Assessment (2022) Vol. 195, Iss. 1
Closed Access | Times Cited: 26
Leading-edge Artificial Intelligence (AI), Machine Learning (ML), Blockchain, and Internet of Things (IoT) technologies for enhanced wastewater treatment systems
Nitin Rane, Saurabh Choudhary, Jayesh Rane
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 15
A Non-Hybrid Data-Driven Fuzzy Inference System for Coagulant Dosage in Drinking Water Treatment Plant: Machine-Learning for Accurate Real-Time Prediction
Adriano Bressane, Ana Paula Garcia Goulart, Carrie Peres Melo, et al.
Water (2023) Vol. 15, Iss. 6, pp. 1126-1126
Open Access | Times Cited: 13
A comprehensive overview of the applications of kernel functions and data-driven models in regression and classification tasks in the context of software sensors
Joyce Chen Yen Ngu, Wan Sieng Yeo, Teck Fu Thien, et al.
Applied Soft Computing (2024) Vol. 164, pp. 111975-111975
Open Access | Times Cited: 4
Water treatment and artificial intelligence techniques: a systematic literature review research
Waidah Ismail, Naghmeh Niknejad, Mahadi Bahari, et al.
Environmental Science and Pollution Research (2021) Vol. 30, Iss. 28, pp. 71794-71812
Closed Access | Times Cited: 30
Reusable Ag@TiO2-Based Photocatalytic Nanocomposite Membranes for Solar Degradation of Contaminants of Emerging Concern
Lamine Aoudjit, Hugo Salazar, Djamila Zioui, et al.
Polymers (2021) Vol. 13, Iss. 21, pp. 3718-3718
Open Access | Times Cited: 29
A soft measurement approach of wastewater treatment process by lion swarm optimizer-based extreme learning machine
Feixiang Zhao, Mingzhe Liu, Kun Wang, et al.
Measurement (2021) Vol. 179, pp. 109322-109322
Closed Access | Times Cited: 28
A new insight for real-time wastewater quality prediction using hybridized kernel-based extreme learning machines with advanced optimization algorithms
Javad Alavi, Ahmed A. Ewees, Sepideh Ansari, et al.
Environmental Science and Pollution Research (2021) Vol. 29, Iss. 14, pp. 20496-20516
Closed Access | Times Cited: 28
Damaged cable identification in cable-stayed bridge from bridge deck strain measurements using support vector machine
Jianying Ren, Bing Zhang, Xinqun Zhu, et al.
Advances in Structural Engineering (2022) Vol. 25, Iss. 4, pp. 754-771
Closed Access | Times Cited: 21
Machine Learning Approach for Rapid Estimation of Five-Day Biochemical Oxygen Demand in Wastewater
Panagiotis G. Asteris, Dimitrios Ε. Alexakis, Markos Z. Tsoukalas, et al.
Water (2022) Vol. 15, Iss. 1, pp. 103-103
Open Access | Times Cited: 16
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