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:

Assessing access to safe drinking water in flood-affected areas of District Nowshera, Pakistan: A case study towards achieving sustainable development goal 6.1
Muhammad Tufail, Muhammad Nasir, Aqil Tariq, et al.
Ecohydrology & Hydrobiology (2024)
Closed Access | Times Cited: 8

Showing 8 citing articles:

Prediction of surface urban heat island based on predicted consequences of urban sprawl using deep learning: A way forward for a sustainable environment
Shun Fu, L Wang, Umer Khalil, et al.
Physics and Chemistry of the Earth Parts A/B/C (2024) Vol. 135, pp. 103682-103682
Closed Access | Times Cited: 17

Integrating multisource data and machine learning for supraglacial lake detection: Implications for environmental management and sustainable development goals in high mountainous regions
Hajra Mustafa, Aqil Tariq, Hong Shu, et al.
Journal of Environmental Management (2024) Vol. 370, pp. 122490-122490
Closed Access | Times Cited: 11

Monitoring and prediction of the LULC change dynamics using time series remote sensing data with Google Earth Engine
Muhammad Farhan, Taixia Wu, Muhammad Amin, et al.
Physics and Chemistry of the Earth Parts A/B/C (2024) Vol. 136, pp. 103689-103689
Closed Access | Times Cited: 8

Advanced Machine Vision Techniques for Groundwater Level Prediction Modeling Geospatial and Statistical Research
Dai Xianglin, Aqil Tariq, Ahsan Jamil, et al.
Advances in Space Research (2024)
Closed Access | Times Cited: 8

Comparative Analysis of Machine Learning Models for Predicting PM2.5 Concentrations Using Meteorological and Chemical Indicators
Muhammad Haseeb, Zainab Tahir, Syed Amer Mahmood, et al.
Journal of Atmospheric and Solar-Terrestrial Physics (2024) Vol. 263, pp. 106338-106338
Closed Access | Times Cited: 3

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