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 modeling of potentially toxic elements’ hydrogeopollution using an integrated Q-mode HCs and ANNs machine learning approach in SE Nigeria
Johnbosco C. Egbueri
Environmental Science and Pollution Research (2021) Vol. 28, Iss. 30, pp. 40938-40956
Closed Access | Times Cited: 43

Showing 26-50 of 43 citing articles:

Discussion on the existing methodology of entropy-weights in water quality indexing and proposal for a modification of the expected conflicts
Siddhant Dash, Ajay S. Kalamdhad
Environmental Science and Pollution Research (2021) Vol. 28, Iss. 38, pp. 53983-54001
Closed Access | Times Cited: 22

Modeling of Microplastic Contamination Using Soft Computational Methods: Advances, Challenges, and Opportunities
Johnbosco C. Egbueri, Daniel A. Ayejoto, Johnson C. Agbasi, et al.
Emerging contaminants and associated treatment technologies (2024), pp. 553-579
Closed Access | Times Cited: 3

Real-time water quality monitoring using AI-enabled sensors: Detection of contaminants and UV disinfection analysis in smart urban water systems
Yeliz Durgun
Journal of King Saud University - Science (2024) Vol. 36, Iss. 9, pp. 103409-103409
Open Access | Times Cited: 3

Spatial analysis and soft computational modeling for hazard assessment of potential toxic elements in potable groundwater
R. S. Aswal, Mukesh Prasad, Jaswinder Singh, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3

Hydrogeochemistry and prediction of arsenic contamination in groundwater of Vehari, Pakistan: comparison of artificial neural network, random forest and logistic regression models
Javed Iqbal, Chunli Su, Maqsood Ahmad, et al.
Environmental Geochemistry and Health (2023) Vol. 46, Iss. 1
Closed Access | Times Cited: 7

Understanding the geotechnical and geomechanical characteristics of erodible soils: a study incorporating soft computational modeling techniques
Johnbosco C. Egbueri, Mohd Yawar Ali Khan
Environment Development and Sustainability (2023) Vol. 26, Iss. 2, pp. 4435-4466
Closed Access | Times Cited: 6

Developing an innovative corrosion and scaling index for industrial cooling water using artificial intelligence
Masoud Khaledi, Abdollah Rashidi Mehrabadi, Maryam Mirabi
Journal of Water Process Engineering (2024) Vol. 65, pp. 105838-105838
Closed Access | Times Cited: 2

Electrochemical degradation of ciprofloxacin from water: Modeling and prediction using ANN and LSSVM
Pezhman Abbasi, Ehsan Bahrami Moghadam
Physics and Chemistry of the Earth Parts A/B/C (2023) Vol. 132, pp. 103509-103509
Closed Access | Times Cited: 5

Assessing the role of soil engineering properties in gully development and enlargement in southeast Nigeria using geostatistical and novel indexical techniques
Johnbosco C. Egbueri, Ogbonnaya Igwe
Environmental Earth Sciences (2021) Vol. 81, Iss. 1
Closed Access | Times Cited: 11

Air pollution forecasting based on wireless communications: review
Muthna Jasim Fadhil, Sadik Kamel Gharghan, Thamir R. Saeed
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 10
Closed Access | Times Cited: 4

Pollution status of drinking water sources proximal to dumpsites: insights from diverse geo-environmental settings in Nigeria
Temitayo Olamide Ale, Thompson Henry Tolulope Ogunribido
Arabian Journal of Geosciences (2024) Vol. 17, Iss. 12
Closed Access | Times Cited: 1

Application of Machine Learning and Deep Learning Algorithms for Landslide Susceptibility Assessment in Landslide Prone Himalayan Region
Subhasis Bhattacharya, Tarig Ali, Sudip Chakravortti, et al.
Earth Systems and Environment (2024)
Closed Access

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