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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:

Improving prediction of water quality indices using novel hybrid machine-learning algorithms
Duie Tien Bui, Khabat Khosravi, John P. Tiefenbacher, et al.
The Science of The Total Environment (2020) Vol. 721, pp. 137612-137612
Closed Access | Times Cited: 322

Showing 1-25 of 322 citing articles:

River water quality index prediction and uncertainty analysis: A comparative study of machine learning models
Seyed Babak Haji Seyed Asadollah, Ahmad Sharafati, Davide Motta, et al.
Journal of environmental chemical engineering (2020) Vol. 9, Iss. 1, pp. 104599-104599
Closed Access | Times Cited: 283
Prediction of groundwater quality using efficient machine learning technique
Sudhakar Singha, Srinivas Pasupuleti, Soumya S. Singha, et al.
Chemosphere (2021) Vol. 276, pp. 130265-130265
Closed Access | Times Cited: 252
Performance Evaluation of Machine Learning Methods for Forest Fire Modeling and Prediction
Binh Thai Pham, Abolfazl Jaafari, Mohammadtaghi Avand, et al.
Symmetry (2020) Vol. 12, Iss. 6, pp. 1022-1022
Open Access | Times Cited: 231
Performance of machine learning methods in predicting water quality index based on irregular data set: application on Illizi region (Algerian southeast)
Saber Kouadri, Ahmed Elbeltagi, Abu Reza Md. Towfiqul Islam, et al.
Applied Water Science (2021) Vol. 11, Iss. 12
Open Access | Times Cited: 209
Water quality classification using machine learning algorithms
Nida Nasir, Afreen Kansal, Omar Alshaltone, et al.
Journal of Water Process Engineering (2022) Vol. 48, pp. 102920-102920
Closed Access | Times Cited: 208
A novel approach for estimating and predicting uncertainty in water quality index model using machine learning approaches
Md Galal Uddin, Stephen Nash, Azizur Rahman, et al.
Water Research (2022) Vol. 229, pp. 119422-119422
Open Access | Times Cited: 144
Robust machine learning algorithms for predicting coastal water quality index
Md Galal Uddin, Stephen Nash, Mir Talas Mahammad Diganta, et al.
Journal of Environmental Management (2022) Vol. 321, pp. 115923-115923
Open Access | Times Cited: 143
Water quality prediction and classification based on principal component regression and gradient boosting classifier approach
Md. Saikat Islam Khan, Nazrul Islam, Jia Uddin, et al.
Journal of King Saud University - Computer and Information Sciences (2021) Vol. 34, Iss. 8, pp. 4773-4781
Open Access | Times Cited: 141
Groundwater quality assessment using a new integrated-weight water quality index (IWQI) and driver analysis in the Jiaokou Irrigation District, China
Qiying Zhang, Hui Qian, Panpan Xu, et al.
Ecotoxicology and Environmental Safety (2021) Vol. 212, pp. 111992-111992
Open Access | Times Cited: 116
Stream water quality prediction using boosted regression tree and random forest models
Ali O. Alnahit, Ashok K. Mishra, Abdul A. Khan
Stochastic Environmental Research and Risk Assessment (2022) Vol. 36, Iss. 9, pp. 2661-2680
Closed Access | Times Cited: 115
Using Machine Learning Models for Predicting the Water Quality Index in the La Buong River, Vietnam
Đào Nguyên Khôi, Nguyen Trong Quan, Do Quang Linh, et al.
Water (2022) Vol. 14, Iss. 10, pp. 1552-1552
Open Access | Times Cited: 106
Assessing optimization techniques for improving water quality model
Md Galal Uddin, Stephen Nash, Azizur Rahman, et al.
Journal of Cleaner Production (2022) Vol. 385, pp. 135671-135671
Open Access | Times Cited: 96
Water quality index modeling using random forest and improved SMO algorithm for support vector machine in Saf-Saf river basin
Bachir Sakaa, Ahmed Elbeltagi, Samir Boudibi, et al.
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 32, pp. 48491-48508
Closed Access | Times Cited: 91
Predicting Water Quality Index (WQI) by feature selection and machine learning: A case study of An Kim Hai irrigation system
Bui Quoc Lap, Thi-Thu-Hong Phan, Huu Du Nguyen, et al.
Ecological Informatics (2023) Vol. 74, pp. 101991-101991
Closed Access | Times Cited: 90
Evaluation of water quality indexes with novel machine learning and SHapley Additive ExPlanation (SHAP) approaches
Ali Aldrees, Majid Khan, Abubakr Taha Bakheit Taha, et al.
Journal of Water Process Engineering (2024) Vol. 58, pp. 104789-104789
Closed Access | Times Cited: 70
Predicting lake water quality index with sensitivity-uncertainty analysis using deep learning algorithms
Swapan Talukdar, Shahfahad, Shakeel Ahmed, et al.
Journal of Cleaner Production (2023) Vol. 406, pp. 136885-136885
Closed Access | Times Cited: 63
Developing a novel tool for assessing the groundwater incorporating water quality index and machine learning approach
Abdul Majed Sajib, Mir Talas Mahammad Diganta, Azizur Rahman, et al.
Groundwater for Sustainable Development (2023) Vol. 23, pp. 101049-101049
Open Access | Times Cited: 60
Advances in Catchment Science, Hydrochemistry, and Aquatic Ecology Enabled by High-Frequency Water Quality Measurements
Magdalena Bieroza, Suman Acharya, Jakob Benisch, et al.
Environmental Science & Technology (2023) Vol. 57, Iss. 12, pp. 4701-4719
Open Access | Times Cited: 57
Critical review on water quality analysis using IoT and machine learning models
Poornima Jayaraman, Kothalam Krishnan Nagarajan, Pachaivannan Partheeban, et al.
International Journal of Information Management Data Insights (2024) Vol. 4, Iss. 1, pp. 100210-100210
Open Access | Times Cited: 44
Prediction of weighted arithmetic water quality index for urban water quality using ensemble machine learning model
Usman Mohseni, Chaitanya B. Pande, Subodh Chandra Pal, et al.
Chemosphere (2024) Vol. 352, pp. 141393-141393
Closed Access | Times Cited: 39
Assessing water quality of an ecologically critical urban canal incorporating machine learning approaches
Abdul Majed Sajib, Mir Talas Mahammad Diganta, Md Moniruzzaman, et al.
Ecological Informatics (2024) Vol. 80, pp. 102514-102514
Open Access | Times Cited: 39
Advances in machine learning and IoT for water quality monitoring: A comprehensive review
Ismail Essamlali, Hasna Nhaila, Mohamed El Khaïli
Heliyon (2024) Vol. 10, Iss. 6, pp. e27920-e27920
Open Access | Times Cited: 38
Incorporation of water quality index models with machine learning-based techniques for real-time assessment of aquatic ecosystems
Hyung Il Kim, Dongkyun Kim, Mehran Mahdian, et al.
Environmental Pollution (2024) Vol. 355, pp. 124242-124242
Closed Access | Times Cited: 34
Artificial Intelligence in Environmental Monitoring: Advancements, Challenges, and Future Directions
David B. Olawade, Ojima Z. Wada, Abimbola O. Ige, et al.
Hygiene and Environmental Health Advances (2024), pp. 100114-100114
Open Access | Times Cited: 27
Advancing Water Quality Assessment and Prediction Using Machine Learning Models, Coupled with Explainable Artificial Intelligence (XAI) Techniques Like Shapley Additive Explanations (SHAP) For Interpreting the Black-Box Nature
Randika K. Makumbura, Lakindu Mampitiya, Namal Rathnayake, et al.
Results in Engineering (2024) Vol. 23, pp. 102831-102831
Open Access | Times Cited: 25
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