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:

Development of artificial intelligence for modeling wastewater heavy metal removal: State of the art, application assessment and possible future research
Suraj Kumar Bhagat, Tran Minh Tung, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬
Journal of Cleaner Production (2019) Vol. 250, pp. 119473-119473
Closed Access | Times Cited: 206

Showing 1-25 of 206 citing articles:

A survey on river water quality modelling using artificial intelligence models: 2000–2020
Tiyasha Tiyasha, Tran Minh Tung, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬
Journal of Hydrology (2020) Vol. 585, pp. 124670-124670
Closed Access | Times Cited: 528
Biochar for agronomy, animal farming, anaerobic digestion, composting, water treatment, soil remediation, construction, energy storage, and carbon sequestration: a review
Ahmed I. Osman, Samer Fawzy, Mohamed Farghali, et al.
Environmental Chemistry Letters (2022) Vol. 20, Iss. 4, pp. 2385-2485
Open Access | Times Cited: 320
An insight into machine learning models era in simulating soil, water bodies and adsorption heavy metals: Review, challenges and solutions
Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬
Chemosphere (2021) Vol. 277, pp. 130126-130126
Closed Access | Times Cited: 264
Groundwater level prediction using machine learning models: A comprehensive review
Tao Hai, Mohammed Majeed Hameed, Haydar Abdulameer Marhoon, et al.
Neurocomputing (2022) Vol. 489, pp. 271-308
Open Access | Times Cited: 260
Applications of artificial intelligence in water treatment for optimization and automation of adsorption processes: Recent advances and prospects
Gulzar Alam, Ihsanullah Ihsanullah, Mu. Naushad, et al.
Chemical Engineering Journal (2021) Vol. 427, pp. 130011-130011
Open Access | Times Cited: 255
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: 249
Sustainable and efficient technologies for removal and recovery of toxic and valuable metals from wastewater: Recent progress, challenges, and future perspectives
Abdelnasser Abidli, Yifeng Huang, Zeineb Ben Rejeb, et al.
Chemosphere (2021) Vol. 292, pp. 133102-133102
Closed Access | Times Cited: 140
A comprehensive review of biochar in removal of organic pollutants from wastewater: Characterization, toxicity, activation/functionalization and influencing treatment factors
Hicham Zeghioud, Lydia Fryda, Hayet Djelal, et al.
Journal of Water Process Engineering (2022) Vol. 47, pp. 102801-102801
Open Access | Times Cited: 138
Smart Water Resource Management Using Artificial Intelligence—A Review
Siva Rama Krishnan Somayaji, M. K. Nallakaruppan, Rajeswari Chengoden, et al.
Sustainability (2022) Vol. 14, Iss. 20, pp. 13384-13384
Open Access | Times Cited: 115
Artificial intelligence and machine learning-based monitoring and design of biological wastewater treatment systems
Nitin Kumar Singh, Manish Yadav, Vijai Singh, et al.
Bioresource Technology (2022) Vol. 369, pp. 128486-128486
Closed Access | Times Cited: 103
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: 97
Recent advances in adsorptive removal of wastewater pollutants by chemically modified metal oxides: A review
Zafar Iqbal, Mohd Saquib Tanweer, Masood Alam
Journal of Water Process Engineering (2022) Vol. 46, pp. 102641-102641
Closed Access | Times Cited: 74
Prediction heavy metals accumulation risk in rice using machine learning and mapping pollution risk
Bing Zhao, Wenxuan Zhu, Shefeng Hao, et al.
Journal of Hazardous Materials (2023) Vol. 448, pp. 130879-130879
Closed Access | Times Cited: 64
Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research directions
Tao Hai, Sani I. Abba, Ahmed M. Al‐Areeq, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 129, pp. 107559-107559
Closed Access | Times Cited: 61
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: 59
Artificial intelligence and IoT driven technologies for environmental pollution monitoring and management
Simona Mariana Popescu, Sheikh Mansoor, Owais Ali Wani, et al.
Frontiers in Environmental Science (2024) Vol. 12
Open Access | Times Cited: 54
Artificial intelligence in wastewater treatment: A data-driven analysis of status and trends
Shubo Zhang, Ying Jin, Wenkang Chen, et al.
Chemosphere (2023) Vol. 336, pp. 139163-139163
Closed Access | Times Cited: 51
Advancements in Adsorption Techniques for Sustainable Water Purification: A Focus on Lead Removal
Amal M. Badran, U. Uthumporn, Nor Shariffa Yussof, et al.
Separations (2023) Vol. 10, Iss. 11, pp. 565-565
Open Access | Times Cited: 45
Navigating the molecular landscape of environmental science and heavy metal removal: A simulation-based approach
Iman Salahshoori, Marcos A.L. Nobre, Amirhosein Yazdanbakhsh, et al.
Journal of Molecular Liquids (2024) Vol. 410, pp. 125592-125592
Open Access | Times Cited: 19
Machine learning and GIS based groundwater quality prediction for agricultural practices - A case study form Arjunanadi River basin of South India
Mohan Raj, D. Karunanidhi, N. Subba Rao, et al.
Computers and Electronics in Agriculture (2025) Vol. 229, pp. 109932-109932
Closed Access | Times Cited: 7
Removal of Heavy Metal Ions Using Modified Celluloses Prepared from Pineapple Leaf Fiber
Amphol Daochalermwong, Napassorn Chanka, Kriangsak Songsrirote, et al.
ACS Omega (2020) Vol. 5, Iss. 10, pp. 5285-5296
Open Access | Times Cited: 138
Evolutionary computational intelligence algorithm coupled with self-tuning predictive model for water quality index determination
Sani I. Abba, Sinan Jasim Hadi, Saad Sh. Sammen, et al.
Journal of Hydrology (2020) Vol. 587, pp. 124974-124974
Open Access | Times Cited: 120
Heavy metal contamination prediction using ensemble model: Case study of Bay sedimentation, Australia
Suraj Kumar Bhagat, Tran Minh Tung, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬
Journal of Hazardous Materials (2020) Vol. 403, pp. 123492-123492
Closed Access | Times Cited: 113
Prediction of sediment heavy metal at the Australian Bays using newly developed hybrid artificial intelligence models
Suraj Kumar Bhagat, Tiyasha Tiyasha, Salih Muhammad Awadh, et al.
Environmental Pollution (2020) Vol. 268, pp. 115663-115663
Closed Access | Times Cited: 112
Projecting the sorption capacity of heavy metal ions onto microplastics in global aquatic environments using artificial neural networks
Xuan Guo, Jianlong Wang
Journal of Hazardous Materials (2020) Vol. 402, pp. 123709-123709
Closed Access | Times Cited: 110
Page 1 - Next Page

Scroll to top