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:

A new modelling framework to assess changes in groundwater level
Ikechukwu Kalu, Christopher E. Ndehedehe, Onuwa Okwuashi, et al.
Journal of Hydrology Regional Studies (2022) Vol. 43, pp. 101185-101185
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

A secondary modal decomposition ensemble deep learning model for groundwater level prediction using multi-data
Xuefei Cui, Zhaocai Wang, Nannan Xu, et al.
Environmental Modelling & Software (2024) Vol. 175, pp. 105969-105969
Closed Access | Times Cited: 23

Revolutionizing Groundwater Management with Hybrid AI Models: A Practical Review
Mojtaba Zaresefat, Reza Derakhshani
Water (2023) Vol. 15, Iss. 9, pp. 1750-1750
Open Access | Times Cited: 34

Artificial intelligence in groundwater management: Innovations, challenges, and future prospects
Mustaq Shaikh, Farjana Birajdar
International Journal of Science and Research Archive (2024) Vol. 11, Iss. 1, pp. 502-512
Open Access | Times Cited: 12

A novel insight on input variable and time lag selection in daily streamflow forecasting using deep learning models
Amina Khatun, M.N. Nisha, Siddharth G. Chatterjee, et al.
Environmental Modelling & Software (2024) Vol. 179, pp. 106126-106126
Closed Access | Times Cited: 12

Application of the machine learning methods for GRACE data based groundwater modeling, a systematic review
Vahid Nourani, Nardin Jabbarian Paknezhad, A. W. M Ng, et al.
Groundwater for Sustainable Development (2024) Vol. 25, pp. 101113-101113
Closed Access | Times Cited: 11

Automated parameter estimation for geothermal reservoir modeling using machine learning
Anna Suzuki, Shuokun Shi, Taro Sakai, et al.
Renewable Energy (2024) Vol. 224, pp. 120243-120243
Open Access | Times Cited: 9

Harnessing Machine Learning for Assessing Climate Change Influences on Groundwater Resources: A Comprehensive Review
Apoorva Bamal, Md Galal Uddin, Agnieszka I. Olbert
Heliyon (2024) Vol. 10, Iss. 17, pp. e37073-e37073
Open Access | Times Cited: 9

Analysis of Groundwater Storage Changes and Influencing Factors in China Based on GRACE Data
Chunxiu Shao, Yonghe Liu
Atmosphere (2023) Vol. 14, Iss. 2, pp. 250-250
Open Access | Times Cited: 18

Reconstructing terrestrial water storage anomalies using convolution-based support vector machine
Ikechukwu Kalu, Christopher E. Ndehedehe, Onuwa Okwuashi, et al.
Journal of Hydrology Regional Studies (2023) Vol. 46, pp. 101326-101326
Open Access | Times Cited: 11

Characterization of groundwater storage changes in the Amazon River Basin based on downscaling of GRACE/GRACE-FO data with machine learning models
Diego Alejandro Satizábal-Alarcón, Alexandra Vieira Suhogusoff, L Ferrari
The Science of The Total Environment (2023) Vol. 912, pp. 168958-168958
Closed Access | Times Cited: 10

Improving the depth-to-bedrock maps for groundwater-to-atmosphere modeling in Africa
Francis E. Oussou, Christopher E. Ndehedehe, Nicaise Yalo, et al.
Journal of Hydrology (2025) Vol. 656, pp. 132964-132964
Closed Access

Groundwater drought and anthropogenic amplifiers: A review of assessment and response strategies in arid and semi-arid areas
Abedulla Elsaidy, Estifanos Addisu Yimer, Yunes Mogheir, et al.
The Science of The Total Environment (2025) Vol. 978, pp. 179406-179406
Open Access

An assimilated deep learning approach to identify the influence of global climate on hydrological fluxes
Ikechukwu Kalu, Christopher E. Ndehedehe, Onuwa Okwuashi, et al.
Journal of Hydrology (2022) Vol. 614, pp. 128498-128498
Closed Access | Times Cited: 16

Groundwater level reconstruction using long-term climate reanalysis data and deep neural networks
Sivarama Krishna Reddy Chidepudi, Nicolas Masséi, Abderrahim Jardani, et al.
Journal of Hydrology Regional Studies (2023) Vol. 51, pp. 101632-101632
Open Access | Times Cited: 9

A multi-layer nesting and integration approach for predicting groundwater levels in agriculturally intensive areas using data-driven models
Feilin Zhu, Yimeng Sun, Tiantian Hou, et al.
Journal of Hydrology (2024), pp. 132038-132038
Closed Access | Times Cited: 3

A SOM-LSTM combined model for groundwater level prediction in karst critical zone aquifers considering connectivity characteristics
Fei Guo, Shilong Li, Gang Zhao, et al.
Environmental Earth Sciences (2024) Vol. 83, Iss. 9
Open Access | Times Cited: 2

Identifying impacts of global climate teleconnection patterns on land water storage using machine learning
Ikechukwu Kalu, Christopher E. Ndehedehe, Onuwa Okwuashi, et al.
Journal of Hydrology Regional Studies (2023) Vol. 46, pp. 101346-101346
Open Access | Times Cited: 4

A Review of Geological and Climatic Variables in Groundwater Availability Prediction in Africa: Machine Learning Approaches
Haoulata Touré, Cyril D. Boateng, Solomon Gidigasu, et al.
EarthArXiv (California Digital Library) (2024)
Open Access | Times Cited: 1

Review of machine learning algorithms used in groundwater availability studies in Africa: analysis of geological and climate input variables
Haoulata Touré, Cyril D. Boateng, Solomon Gidigasu, et al.
Discover Water (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 1

Remote Sensing Estimation of Shallow and Deep Aquifer Response to Precipitation‐Based Recharge Through Downscaling
Ikechukwu Kalu, Christopher E. Ndehedehe, Vagner G. Ferreira, et al.
Water Resources Research (2024) Vol. 60, Iss. 12
Closed Access | Times Cited: 1

Deep Belief Network for Groundwater Modeling
Christopher E. Ndehedehe
Springer climate (2023), pp. 279-324
Closed Access | Times Cited: 1

The Impact of Climate Change on Groundwater and Crop Yield in Asia: A Comprehensive Review
Anandhi Santhosh, S. Prabhakaran, V. Davamani, et al.
(2023)
Open Access | Times Cited: 1

A Systematic Review of Machine Learning Algorithms in Groundwater Level Simulations and Forecasting
Jesse Gilbert, Cyril D. Boateng, Jeffrey N. A. Aryee, et al.
EarthArXiv (California Digital Library) (2023)
Open Access | Times Cited: 1

A Comparison of AI Methods for Groundwater Level Prediction in Burkina Faso
Abdoul Aziz Bonkoungou, Souleymane Zio, Rodrique Kafando, et al.
IFIP advances in information and communication technology (2024), pp. 3-16
Closed Access

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