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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:

Soil water erosion susceptibility assessment using deep learning algorithms
Khabat Khosravi, Fatemeh Rezaie, James R. Cooper, et al.
Journal of Hydrology (2023) Vol. 618, pp. 129229-129229
Open Access | Times Cited: 91

Showing 1-25 of 91 citing articles:

Modelling impacts of climate change and anthropogenic activities on inflows and sediment loads of wetlands: case study of the Anzali wetland
Mehran Mahdian, Majid Hosseinzadeh, Seyed Mostafa Siadatmousavi, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 85
Anzali Wetland Crisis: Unraveling the Decline of Iran's Ecological Gem
Mehran Mahdian, Roohollah Noori, Mazaher Salamat‐Talab, et al.
Journal of Geophysical Research Atmospheres (2024) Vol. 129, Iss. 4
Open Access | Times Cited: 68
Evaluation of water quality indexes with novel machine learning and SHapley Additive ExPlanation (SHAP) approaches
Ali Aldrees, Majid Khan, Abubakr Taha Bakheit Taha, et al.
Journal of Water Process Engineering (2024) Vol. 58, pp. 104789-104789
Closed Access | Times Cited: 59
Marine waters assessment using improved water quality model incorporating machine learning approaches
Md Galal Uddin, Azizur Rahman, Stephen Nash, et al.
Journal of Environmental Management (2023) Vol. 344, pp. 118368-118368
Open Access | Times Cited: 54
Interpretability of simple RNN and GRU deep learning models used to map land susceptibility to gully erosion
Hamid Gholami, Aliakbar Mohammadifar, Shahram Golzari, et al.
The Science of The Total Environment (2023) Vol. 904, pp. 166960-166960
Closed Access | Times Cited: 44
Research on the factors influencing nanofiltration membrane fouling and the prediction of membrane fouling
Wenjing Zheng, Yan Chen, Xiaohu Xu, et al.
Journal of Water Process Engineering (2024) Vol. 59, pp. 104876-104876
Closed Access | Times Cited: 29
Efficient data-driven machine learning models for scour depth predictions at sloping sea defences
M. A. Habib, Soroush Abolfathi, John O’Sullivan, et al.
Frontiers in Built Environment (2024) Vol. 10
Open Access | Times Cited: 23
Evaluating empirical and machine learning approaches for reference evapotranspiration estimation using limited climatic variables in Nepal
Erica Shrestha, Suyog Poudyal, Anup Ghimire, et al.
Results in Engineering (2025), pp. 104254-104254
Open Access | Times Cited: 1
Machine learning prediction of wave characteristics: Comparison between semi-empirical approaches and DT model
Abbas Yeganeh‐Bakhtiary, Hossein Eyvazoghli, Naser Shabakhty, et al.
Ocean Engineering (2023) Vol. 286, pp. 115583-115583
Closed Access | Times Cited: 33
Hybrid machine learning models for prediction of daily dissolved oxygen
Aliasghar Azma, Yakun Liu, Masoumeh Azma, et al.
Journal of Water Process Engineering (2023) Vol. 54, pp. 103957-103957
Closed Access | Times Cited: 22
A multi-fidelity deep operator network (DeepONet) for fusing simulation and monitoring data: Application to real-time settlement prediction during tunnel construction
Xu Chen, Ba Trung Cao, Yong Yuan, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108156-108156
Open Access | Times Cited: 11
Suspended sediment dynamics and linking with watershed surface characteristics in a karst region
Linlv Xiao, Rui Li, Jun Jing, et al.
Journal of Hydrology (2024) Vol. 630, pp. 130719-130719
Closed Access | Times Cited: 10
Application of response surface and artificial neural network optimization approaches for exploring methylene blue adsorption using luffa fiber treated with sodium chlorite
L. Natrayan, V. R. Niveditha, V. Swamy Nadh, et al.
Journal of Water Process Engineering (2024) Vol. 58, pp. 104778-104778
Closed Access | Times Cited: 9
Prediction of purified water quality in industrial hydrocarbon wastewater treatment using an artificial neural network and response surface methodology
Nour El Houda Mellal, Wafa Tahar, Messaouda Boumaaza, et al.
Journal of Water Process Engineering (2024) Vol. 58, pp. 104757-104757
Closed Access | Times Cited: 9
Innovations in Stroke Identification: A Machine Learning-Based Diagnostic Model Using Neuroimages
Muhammad Asim Saleem, Ashir Javeed, Wasan Akarathanawat, et al.
IEEE Access (2024) Vol. 12, pp. 35754-35764
Open Access | Times Cited: 9
Enhancing groundwater quality assessment in coastal area: A hybrid modeling approach
Md Galal Uddin, M. M. Shah Porun Rana, Mir Talas Mahammad Diganta, et al.
Heliyon (2024) Vol. 10, Iss. 13, pp. e33082-e33082
Open Access | Times Cited: 8
A state-of-the-art review of long short-term memory models with applications in hydrology and water resources
Zhong-kai Feng, J. Zhang, Wen-jing Niu
Applied Soft Computing (2024), pp. 112352-112352
Closed Access | Times Cited: 8
Improved monthly runoff time series prediction using the CABES-LSTM mixture model based on CEEMDAN-VMD decomposition
Dong-mei Xu, An-dong Liao, Wenchuan Wang, et al.
Journal of Hydroinformatics (2023) Vol. 26, Iss. 1, pp. 255-283
Open Access | Times Cited: 19
Contribution and behavioral assessment of physical and anthropogenic factors for soil erosion using integrated deep learning and game theory
Ishita Afreen Ahmed, Swapan Talukdar, Abu Reza Md. Towfiqul Islam, et al.
Journal of Cleaner Production (2023) Vol. 416, pp. 137689-137689
Closed Access | Times Cited: 16
Complex hybrid weighted pruning method for accelerating convolutional neural networks
Geng Xu, Jinxiong Gao, Yonghui Zhang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
Energy-agriculture nexus: Exploring the future of artificial intelligence applications
Masud Kabir, Sami Ekici
Energy Nexus (2023) Vol. 13, pp. 100263-100263
Open Access | Times Cited: 14
Soil erosion and degradation assessment integrating multi-parametric methods of RUSLE model, RS, and GIS in the Shaqlawa agricultural area, Kurdistan Region, Iraq
Badeea Abdi, Kamal Kolo, Himan Shahabi
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 10
Closed Access | Times Cited: 13
Comparative Analysis of Artificial Intelligence Methods for Streamflow Forecasting
Wei Yaxing, Huzaifa Hashim, Sai Hin Lai, et al.
IEEE Access (2024) Vol. 12, pp. 10865-10885
Open Access | Times Cited: 5
Enhancing the Performance of Machine Learning and Deep Learning-Based Flood Susceptibility Models by Integrating Grey Wolf Optimizer (GWO) Algorithm
Ali Nouh Mabdeh, R. S. Ajin, Seyed Vahid Razavi-Termeh, et al.
Remote Sensing (2024) Vol. 16, Iss. 14, pp. 2595-2595
Open Access | Times Cited: 4
Study on the response mechanism of extreme rainfall-runoff in the coupled structure of the Karst Basin in central Guizhou
Zhonghua He, Xiaolin Gu, Maoqiang Wang, et al.
Journal of Water Process Engineering (2025) Vol. 71, pp. 107158-107158
Closed Access
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