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:

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

Showing 1-25 of 264 citing articles:

Critical review on hazardous pollutants in water environment: Occurrence, monitoring, fate, removal technologies and risk assessment
B. Senthil Rathi, P. Senthil Kumar, Dai‐Viet N. Vo
The Science of The Total Environment (2021) Vol. 797, pp. 149134-149134
Closed Access | Times Cited: 445
A review on magnetic sensors for monitoring of hazardous pollutants in water resources
Akbar Hojjati‐Najafabadi, Mojtaba Mansoorianfar, Tongxiang Liang, et al.
The Science of The Total Environment (2022) Vol. 824, pp. 153844-153844
Closed Access | Times Cited: 306
Biofilm on microplastics in aqueous environment: Physicochemical properties and environmental implications
Siying He, Meiying Jia, Yinping Xiang, et al.
Journal of Hazardous Materials (2021) Vol. 424, pp. 127286-127286
Closed Access | Times Cited: 263
Streamflow prediction using an integrated methodology based on convolutional neural network and long short-term memory networks
Sujan Ghimire, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Aitazaz A. Farooque, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 200
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: 199
Remote Sensing Big Data for Water Environment Monitoring: Current Status, Challenges, and Future Prospects
Jinyue Chen, Shuisen Chen, Rao Fu, et al.
Earth s Future (2022) Vol. 10, Iss. 2
Open Access | Times Cited: 130
Application of the simple Bayesian classifier for the N2 (77 K) adsorption/desorption hysteresis loop recognition
Maxim S. Mel’gunov
Adsorption (2022) Vol. 29, Iss. 5-6, pp. 199-208
Closed Access | Times Cited: 127
Pristine and engineered biochar for the removal of contaminants co-existing in several types of industrial wastewaters: A critical review
Deborah Cristina Crominski da Silva Medeiros, Christopher Nzediegwu, Chelsea Benally, et al.
The Science of The Total Environment (2021) Vol. 809, pp. 151120-151120
Closed Access | Times Cited: 111
Toward smarter management and recovery of municipal solid waste: A critical review on deep learning approaches
Kunsen Lin, Youcai Zhao, Jia‐Hong Kuo, et al.
Journal of Cleaner Production (2022) Vol. 346, pp. 130943-130943
Closed Access | Times Cited: 104
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
A Review on Applications of Artificial Intelligence in Wastewater Treatment
Yì Wáng, Yuhan Cheng, He Liu, et al.
Sustainability (2023) Vol. 15, Iss. 18, pp. 13557-13557
Open Access | Times Cited: 56
Removal of emerging contaminants (ECs) from aqueous solutions by modified biochar: A review
Jiaqi Zhang, Zhijie Chen, Yiwen Liu, et al.
Chemical Engineering Journal (2023) Vol. 479, pp. 147615-147615
Closed Access | Times Cited: 48
Feature engineering for improved machine-learning-aided studying heavy metal adsorption on biochar
Tian Shen, Haoyi Peng, Xingzhong Yuan, et al.
Journal of Hazardous Materials (2024) Vol. 466, pp. 133442-133442
Closed Access | Times Cited: 34
Using unsupervised machine learning models to drive groundwater chemistry and associated health risks in Indo-Bangla Sundarban region
Jannatun Nahar Jannat, Abu Reza Md. Towfiqul Islam, Md. Yousuf Mia, et al.
Chemosphere (2024) Vol. 351, pp. 141217-141217
Closed Access | Times Cited: 20
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
Artificial intelligence and water quality: From drinking water to wastewater
Christian Hazael Pérez-Beltrán, Alicia Robles, N. Rodríguez, et al.
TrAC Trends in Analytical Chemistry (2024) Vol. 172, pp. 117597-117597
Closed Access | Times Cited: 18
Proposition of New Ensemble Data-Intelligence Models for Surface Water Quality Prediction
Ali Omran Al-Sulttani, Mustafa Al-Mukhtar, Ali B. Roomi, et al.
IEEE Access (2021) Vol. 9, pp. 108527-108541
Open Access | Times Cited: 77
Comprehensive review on machine learning methodologies for modeling dye removal processes in wastewater
Suraj Kumar Bhagat, Karl Ezra Pilario, Olusola Emmanuel Babalola, et al.
Journal of Cleaner Production (2022) Vol. 385, pp. 135522-135522
Closed Access | Times Cited: 65
Modeling, optimization and understanding of adsorption process for pollutant removal via machine learning: Recent progress and future perspectives
Wentao Zhang, Wenguang Huang, Jie Tan, et al.
Chemosphere (2022) Vol. 311, pp. 137044-137044
Open Access | Times Cited: 60
An improved adaptive neuro fuzzy inference system model using conjoined metaheuristic algorithms for electrical conductivity prediction
Iman Ahmadianfar, Seyedehelham Shirvani-Hosseini, Jianxun He, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 55
Prediction of long-term water quality using machine learning enhanced by Bayesian optimisation
Tao Yan, Annan Zhou, Shui‐Long Shen
Environmental Pollution (2022) Vol. 318, pp. 120870-120870
Closed Access | Times Cited: 53
Computational assessment of groundwater salinity distribution within coastal multi-aquifers of Bangladesh
Mehdi Jamei, Masoud Karbasi, Anurag Malik, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 51
Designing a Multi-Stage Expert System for daily ocean wave energy forecasting: A multivariate data decomposition-based approach
Mehdi Jamei, Mumtaz Ali, Masoud Karbasi, et al.
Applied Energy (2022) Vol. 326, pp. 119925-119925
Closed Access | Times Cited: 50
Modeling nutrient removal by membrane bioreactor at a sewage treatment plant using machine learning models
Muhammad Yaqub, Wontae Lee
Journal of Water Process Engineering (2022) Vol. 46, pp. 102521-102521
Closed Access | Times Cited: 48
Page 1 - Next Page

Scroll to top