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:

Spatiotemporal estimation of groundwater and surface water conditions by integrating deep learning and physics-based watershed models
Soobin Kim, Eunhee Lee, Hyoun‐Tae Hwang, et al.
Water Research X (2024) Vol. 23, pp. 100228-100228
Open Access | Times Cited: 6

Showing 6 citing articles:

Multimodal deep learning models incorporating the adsorption characteristics of the adsorbent for estimating the permeate flux in dynamic membranes
Heewon Jeong, B.K. Yun, Seongyeon Na, et al.
Journal of Membrane Science (2024) Vol. 709, pp. 123105-123105
Closed Access | Times Cited: 2

Revolutionizing Cesium Monitoring in Seawater through Electrochemical Voltammetry and Machine Learning
Jinuk Lee, Kwang‐Hyun Baek, Heewon Jeong, et al.
Journal of Hazardous Materials (2024) Vol. 484, pp. 136558-136558
Closed Access | Times Cited: 2

A hybrid approach to improvement of watershed water quality modeling by coupling process–based and deep learning models
Dae Seong Jeong, Heewon Jeong, Jin Hwi Kim, et al.
Water Environment Research (2024) Vol. 96, Iss. 8
Closed Access | Times Cited: 1

Spatial prediction of groundwater salinity in multiple aquifers of the Mekong Delta region using explainable machine learning models
Heewon Jeong, Ather Abbas, Hyo Gyeom Kim, et al.
Water Research (2024) Vol. 266, pp. 122404-122404
Closed Access

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