Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Optimisation and interpretation of machine and deep learning models for improved water quality management in Lake Loktak
Swapan Talukdar, Shahfahad, Somnath Bera, et al.
Journal of Environmental Management (2023) Vol. 351, pp. 119866-119866
Closed Access | Times Cited: 21

Showing 21 citing articles:

Surface water quality evaluation of Mahanadi and its Tributary Katha Jodi River, Cuttack District, Odisha, using WQI, PLSR, SRI, and geospatial techniques
Abhijeet Das
Applied Water Science (2025) Vol. 15, Iss. 2
Open Access | Times Cited: 1
Exploring forest fire susceptibility and management strategies in Western Himalaya: Integrating ensemble machine learning and explainable AI for accurate prediction and comprehensive analysis
Hoang Thi Hang, Javed Mallick, Saeed Alqadhi, et al.
Environmental Technology & Innovation (2024) Vol. 35, pp. 103655-103655
Open Access | Times Cited: 13
Evaluating Cooling Effect of Blue-green Infrastructure on Urban Thermal Environment in a Metropolitan City: Using Geospatial and Machine Learning Techniques
Md. Rejaul Islam, Shahfahad, Swapan Talukdar, et al.
Sustainable Cities and Society (2024) Vol. 113, pp. 105666-105666
Closed Access | Times Cited: 10
Comprehensive Assessment of E. coli Dynamics in River Water Using Advanced Machine Learning and Explainable AI
Santanu Mallik, Bikram Saha, Krishanu Podder, et al.
Process Safety and Environmental Protection (2025), pp. 106816-106816
Closed Access
Assessing the impact of rainfall, topography, and human disturbances on nutrient levels using integrated machine learning and GAMs models in the Choctawhatchee River Watershed
Shubo Fang, Matthew J. Deitch, Tesfay Gebretsadkan Gebremicael
Journal of Environmental Management (2025) Vol. 375, pp. 124361-124361
Closed Access
Enhancing Evacuation Shelter Suitability in Compound Hazard-Prone Regions with a Bayesian Optimized Convolutional Neural Network Approach
Somnath Bera, Swapan Talukdar, Kim-Anh Nguyen, et al.
International Journal of Disaster Risk Reduction (2025), pp. 105306-105306
Closed Access
Artificial intelligence based detection and control strategies for river water pollution: A comprehensive review
Deepak L. Bhatt, Mamata Swain, Dhananjay Yadav
Journal of Contaminant Hydrology (2025) Vol. 271, pp. 104541-104541
Closed Access
Interpreting optimised data-driven solution with explainable artificial intelligence (XAI) for water quality assessment for better decision-making in pollution management
Javed Mallick, Saeed Alqadhi, Hoang Thi Hang, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 30, pp. 42948-42969
Closed Access | Times Cited: 4
Beyond One-Size-Fits-All: Differentiated Green Development Assessment Integrating a Hybrid Approach in China's Yangtze River Economic Belt
Linzi Li, Chenning Deng, Fang Zhu, et al.
(2025)
Closed Access
Artificial Intelligence in Hydrology: Advancements in Soil, Water Resource Management, and Sustainable Development
Seyed Mostafa Biazar, Golmar Golmohammadi, Rohit R. Nedhunuri, et al.
Sustainability (2025) Vol. 17, Iss. 5, pp. 2250-2250
Open Access
Quantifying seasonal variations in pollution sources with machine learning-enhanced positive matrix factorization
Yaotao Xu, Peng Li, Minghui Zhang, et al.
Ecological Indicators (2024) Vol. 166, pp. 112543-112543
Open Access | Times Cited: 3
Groundwater quality prediction and risk assessment in Kerala, India: A machine-learning approach
C. D. Aju, A.L. Achu, Maharoof P Mohammed, et al.
Journal of Environmental Management (2024) Vol. 370, pp. 122616-122616
Closed Access | Times Cited: 3
Machine learning approach for water quality predictions based on multispectral satellite imageries
Vicky Anand, Bakimchandra Oinam, Silke Wieprecht
Ecological Informatics (2024), pp. 102868-102868
Open Access | Times Cited: 2
Recent Progress on Surface Water Quality Models Utilizing Machine Learning Techniques
Mengjie He, Qin Qian, Xinyu Liu, et al.
Water (2024) Vol. 16, Iss. 24, pp. 3616-3616
Open Access | Times Cited: 1
Assessing hydrogeochemical facies and Groundwater Quality Index in rapidly urbanizing coastal region: a GIS-based approach with machine learning for enhanced management
Ananya Muduli, Pallavi Banerjee Chattopadhyay
Environmental Science and Pollution Research (2024)
Closed Access | Times Cited: 1
Investigating the Causal Effects of Anthropogenic Factors on Urban Streams and Lakes Water Quality by Integrating Causal Inference with Interpretable Machine Learning
Shuying Liu, Jing Xu, Runzi Wang, et al.
Journal of Cleaner Production (2024), pp. 144626-144626
Closed Access | Times Cited: 1
Assessment of Growth and Physiological Traits of Chenopodium quinoa Lines Under Different Salt Levels
Mehwish Zafar, Muhammad Shahzad, Muhammad Zubair Akram, et al.
Sarhad Journal of Agriculture (2024) Vol. 40, Iss. 2
Open Access
Optimizing Machine Learning Models with Bayesian Techniques for Prediction of Groundwater Quality Index in Southwest Saudi Arabia
Fahad Alshehri, Shahfahad, Atiqur Rahman
Earth Systems and Environment (2024)
Closed Access
Enhancing local-scale groundwater quality predictions using advanced machine learning approaches
Abhimanyu Singh Yadav, Abhay Raj, Basant Yadav
Journal of Environmental Management (2024) Vol. 370, pp. 122903-122903
Closed Access
Assessment of the Impact of Meteorological Variables on Lake Water Temperature Using the SHapley Additive exPlanations Method
Teerachai Amnuaylojaroen, Mariusz Ptak, Mariusz Sojka
Water (2024) Vol. 16, Iss. 22, pp. 3296-3296
Open Access
Predicting the risk of cardiovascular disease in adults exposed to heavy metals: Interpretable machine learning
Min Shen, Zhang Yin-e, Runqing Zhan, et al.
Ecotoxicology and Environmental Safety (2024) Vol. 290, pp. 117570-117570
Closed Access
Page 1

Scroll to top