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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:

Prediction of irrigation groundwater quality parameters using ANN, LSTM, and MLR models
Saber Kouadri, Chaitanya B. Pande, Balamurugan Panneerselvam, et al.
Environmental Science and Pollution Research (2021) Vol. 29, Iss. 14, pp. 21067-21091
Closed Access | Times Cited: 129

Showing 1-25 of 129 citing articles:

Application of machine learning in groundwater quality modeling - A comprehensive review
Ryan Haggerty, Jianxin Sun, Hongfeng Yu, et al.
Water Research (2023) Vol. 233, pp. 119745-119745
Open Access | Times Cited: 153
Prediction of Sodium Hazard of Irrigation Purpose using Artificial Neural Network Modelling
Vinay Kumar Gautam, Chaitanya B. Pande, Kanak N. Moharir, et al.
Sustainability (2023) Vol. 15, Iss. 9, pp. 7593-7593
Open Access | Times Cited: 115
Hydrogeochemical Evaluation of Groundwater Aquifers and Associated Health Hazard Risk Mapping Using Ensemble Data Driven Model in a Water Scares Plateau Region of Eastern India
Dipankar Ruidas, Subodh Chandra Pal, Abu Reza Md. Towfiqul Islam, et al.
Exposure and Health (2022) Vol. 15, Iss. 1, pp. 113-131
Closed Access | Times Cited: 87
Assessment of groundwater suitability for sustainable irrigation: A comprehensive study using indexical, statistical, and machine learning approaches
Gobinder Singh, Jagdeep Singh, Owais Ali Wani, et al.
Groundwater for Sustainable Development (2023) Vol. 24, pp. 101059-101059
Closed Access | Times Cited: 53
Application of Hyperspectral Remote Sensing Role in Precision Farming and Sustainable Agriculture Under Climate Change: A Review
Chaitanya B. Pande, Kanak N. Moharir
Springer climate (2023), pp. 503-520
Closed Access | Times Cited: 52
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
Enhancing machining accuracy of banana fiber-reinforced composites with ensemble machine learning
S. Saravanakumar, S. Sathiyamurthy, V. Vinoth
Measurement (2024) Vol. 235, pp. 114912-114912
Closed Access | Times Cited: 24
Prediction of potentially toxic elements in water resources using MLP-NN, RBF-NN, and ANFIS: a comprehensive review
Johnson C. Agbasi, Johnbosco C. Egbueri
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 21, pp. 30370-30398
Closed Access | Times Cited: 23
Machine learning approaches to identify hydrochemical processes and predict drinking water quality for groundwater environment in a metropolis
Zhan Xie, Weiting Liu, Si Chen, et al.
Journal of Hydrology Regional Studies (2025) Vol. 58, pp. 102227-102227
Closed Access | Times Cited: 2
Assessment of PTEs in water resources by integrating HHRISK code, water quality indices, multivariate statistics, and ANNs
Johnson C. Agbasi, Johnbosco C. Egbueri
Geocarto International (2022) Vol. 37, Iss. 25, pp. 10407-10433
Closed Access | Times Cited: 70
Effect of high nitrate contamination of groundwater on human health and water quality index in semi-arid region, South India
Saravanan Ramalingam, Balamurugan Panneerselvam, Shunmuga Priya Kaliappan
Arabian Journal of Geosciences (2022) Vol. 15, Iss. 3
Open Access | Times Cited: 63
Novel Genetic Algorithm (GA) based hybrid machine learning-pedotransfer Function (ML-PTF) for prediction of spatial pattern of saturated hydraulic conductivity
Vijay Singh, Kanhu Charan Panda, Atish Sagar, et al.
Engineering Applications of Computational Fluid Mechanics (2022) Vol. 16, Iss. 1, pp. 1082-1099
Open Access | Times Cited: 57
Prediction of irrigation water quality indices based on machine learning and regression models
Ali Mokhtar, Ahmed Elbeltagi, Yeboah Gyasi‐Agyei, et al.
Applied Water Science (2022) Vol. 12, Iss. 4
Open Access | Times Cited: 57
Forecasting of SPI and Meteorological Drought Based on the Artificial Neural Network and M5P Model Tree
Chaitanya B. Pande, Nadhir Al‐Ansari, Nand Lal Kushwaha, et al.
Land (2022) Vol. 11, Iss. 11, pp. 2040-2040
Open Access | Times Cited: 56
Performances of MLR, RBF-NN, and MLP-NN in the evaluation and prediction of water resources quality for irrigation purposes under two modeling scenarios
Johnbosco C. Egbueri, Johnson C. Agbasi
Geocarto International (2022) Vol. 37, Iss. 26, pp. 14399-14431
Closed Access | Times Cited: 48
Assessment of water quality index using Analytic Hierarchy Process (AHP) and GIS: a case study of a struggling Asan River
Arun Pratap Mishra, Sachchidanand Singh, Mohit Jani, et al.
International Journal of Environmental & Analytical Chemistry (2022) Vol. 104, Iss. 5, pp. 1159-1171
Closed Access | Times Cited: 40
Quality and Health Risk Assessment of Groundwater for Drinking and Irrigation Purpose in Semi-Arid Region of India Using Entropy Water Quality and Statistical Techniques
Balamurugan Panneerselvam, Nagavinothini Ravichandran, Shunmuga Priya Kaliyappan, et al.
Water (2023) Vol. 15, Iss. 3, pp. 601-601
Open Access | Times Cited: 40
Intelligent soft computational models integrated for the prediction of potentially toxic elements and groundwater quality indicators: a case study
Johnson C. Agbasi, Johnbosco C. Egbueri
Journal of Sedimentary Environments (2023) Vol. 8, Iss. 1, pp. 57-79
Open Access | Times Cited: 38
Evolutionary and ensemble machine learning predictive models for evaluation of water quality
Ali Aldrees, Muhammad Faisal Javed, Abubakr Taha Bakheit Taha, et al.
Journal of Hydrology Regional Studies (2023) Vol. 46, pp. 101331-101331
Open Access | Times Cited: 35
Combination of discretization regression with data-driven algorithms for modeling irrigation water quality indices
Dimple Dimple, Pradeep Kumar Singh, Jitendra Rajput, et al.
Ecological Informatics (2023) Vol. 75, pp. 102093-102093
Closed Access | Times Cited: 34
Revolutionizing Groundwater Management with Hybrid AI Models: A Practical Review
Mojtaba Zaresefat, Reza Derakhshani
Water (2023) Vol. 15, Iss. 9, pp. 1750-1750
Open Access | Times Cited: 33
Metaheuristic approaches for prediction of water quality indices with relief algorithm-based feature selection
Nand Lal Kushwaha, Jitendra Rajput, Truptimayee Suna, et al.
Ecological Informatics (2023) Vol. 75, pp. 102122-102122
Closed Access | Times Cited: 32
Groundwater quality evaluation using hybrid model of the multi-layer perceptron combined with neural-evolutionary regression techniques: case study of Shiraz plain
Hossein Moayedi, Marjan Salari, Atefeh Ahmadi Dehrashid, et al.
Stochastic Environmental Research and Risk Assessment (2023) Vol. 37, Iss. 8, pp. 2961-2976
Closed Access | Times Cited: 30
Forecasting water quality variable using deep learning and weighted averaging ensemble models
Mohammad Zamani, Mohammad Reza Nikoo, Sina Jahanshahi, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 59, pp. 124316-124340
Closed Access | Times Cited: 23
Machine learning driven forecasts of agricultural water quality from rainfall ionic characteristics in Central Europe
Safwan Mohammed, Sana Arshad, Bashar Bashir, et al.
Agricultural Water Management (2024) Vol. 293, pp. 108690-108690
Open Access | Times Cited: 12
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