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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:

A Novel Approach for Estimation of Sediment Load in Dam Reservoir With Hybrid Intelligent Algorithms
Hojat Karami, Yashar Dadrasajirlou, Changhyun Jun, et al.
Frontiers in Environmental Science (2022) Vol. 10
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Unraveling the effects of hydrological connectivity and landscape characteristics on reservoir water quality
Jian Wang, Wang Yin, Lixin Wang, et al.
Journal of Hydrology (2022) Vol. 613, pp. 128410-128410
Closed Access | Times Cited: 27
Advanced Prediction Models for Scouring Around Bridge Abutments: A Comparative Study of Empirical and AI Techniques
Zaka Ullah Khan, Diyar Khan, Nadir Murtaza, et al.
Water (2024) Vol. 16, Iss. 21, pp. 3082-3082
Open Access | Times Cited: 6
Intercomparison of sediment transport curve and novel deep learning techniques in simulating sediment transport in the Wadi Mina Basin, Algeria
Mohammed Achite, Okan Mert Katipoğlu, Nehal Elshaboury, et al.
Environmental Earth Sciences (2025) Vol. 84, Iss. 2
Closed Access
Modeling, evaluation and forecasting of suspended sediment load in Kal-e Shur River, Sabzevar Basin, in northeast of Iran
Mohammad Ali Zangeneh Asadi, Leila Goli Mokhtari, Rahman Zandi, et al.
Applied Water Science (2025) Vol. 15, Iss. 3
Open Access
Scour depth prediction around bridge abutments: A comprehensive review of artificial intelligence and hybrid models
Nadir Murtaza, Diyar Khan, A. Rezzoug, et al.
Physics of Fluids (2025) Vol. 37, Iss. 2
Closed Access
River Conservation and Water Resource Management
J. L. Prameena Sheeja, N. Priyanka, G. Bhaskaran
Geotechnologies and the environment (2024), pp. 11-28
Closed Access | Times Cited: 4
Application of statistical and geostatistical approaches in temporal and spatial estimations of rainfall
Hojat Karami, Hamidreza Ghazvinian, Yashar Dadrasajirlou
Journal of Water and Climate Change (2023) Vol. 14, Iss. 5, pp. 1696-1722
Open Access | Times Cited: 10
Understanding the Effect of Hydro-Climatological Parameters on Dam Seepage Using Shapley Additive Explanation (SHAP): A Case Study of Earth-Fill Tarbela Dam, Pakistan
Muhammad Ishfaque, Saad Salman, Khan Zaib Jadoon, et al.
Water (2022) Vol. 14, Iss. 17, pp. 2598-2598
Open Access | Times Cited: 16
A Hybrid ANFIS-GA Approach for Estimation of Hydrological Time Series
Bülent Haznedar, Hüseyin Çağan Kılınç
Water Resources Management (2022) Vol. 36, Iss. 12, pp. 4819-4842
Closed Access | Times Cited: 15
Mode decomposition based large margin distribution machines for sediment load prediction
Barenya Bikash Hazarika, Deepak Gupta
Expert Systems with Applications (2023) Vol. 232, pp. 120844-120844
Closed Access | Times Cited: 6
Study of the allocation strategy of water pollutant emission permits under a bidirectional ecological compensation mechanism
Feng Xue, Yue Li, Xudong Chen, et al.
Ecological Indicators (2023) Vol. 154, pp. 110849-110849
Open Access | Times Cited: 6
An inclusive multiple model for predicting total sediment transport rate in the presence of coastal vegetation cover based on optimized kernel extreme learning models
Hamed Jalil-Masir, Rohollah Fattahi, Elham Ghanbari-Adivi, et al.
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 44, pp. 67180-67213
Closed Access | Times Cited: 10
Optimized Scenario for Estimating Suspended Sediment Yield Using an Artificial Neural Network Coupled with a Genetic Algorithm
Arvind Yadav, Mohammad Kamrul Hasan, Devendra Joshi, et al.
Water (2022) Vol. 14, Iss. 18, pp. 2815-2815
Open Access | Times Cited: 9
Comparative study for the performance of pure artificial intelligence software sensor and self-organizing map assisted software sensor in predicting 5-day biochemical oxygen demand for Kauma Sewage Treatment Plant effluent in Malawi
Madalitso H. Mng'ombe, Eddie W. Mtonga, Brighton Austin Chunga, et al.
Frontiers in Environmental Engineering (2024) Vol. 3
Open Access | Times Cited: 1
Suspended sediment load prediction in river systems via shuffled frog-leaping algorithm and neural network
Okan Mert Katipoğlu, Gaye Aktürk, Hüseyin Çağan Kılınç, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 4, pp. 3623-3649
Closed Access | Times Cited: 1
Runoff and Sediment Yield Processes in a Tropical Eastern Indian River Basin: A Multiple Machine Learning Approach
Alireza Moghaddam Nia, Debasmita Misra, Mahsa Hasanpour Kashani, et al.
Land (2023) Vol. 12, Iss. 8, pp. 1565-1565
Open Access | Times Cited: 3
Hybrid and Integrative Evolutionary Machine Learning in Hydrology: A Systematic Review and Meta-analysis
Amin Mahdavi‐Meymand, Wojciech Sulisz, Mohammad Zounemat‐Kermani
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 3, pp. 1297-1340
Closed Access | Times Cited: 3
Spatial distribution characteristics of splashing rainfall caused by nappe flow impingement on a plunge pool
Qian Sun, Hao Yuan, Wangru Wei, et al.
Frontiers in Environmental Science (2023) Vol. 11
Open Access | Times Cited: 2
Application of black-box models based on artificial intelligence for the prediction of chlorine and TTHMs in the trunk network of Bogotá, Colombia
Laura Enríquez, Laura González, Juan Saldarriaga
Journal of Hydroinformatics (2023) Vol. 25, Iss. 4, pp. 1396-1412
Open Access | Times Cited: 2
Estimating the Sediment Load Transported by the Valleys to Makhoul Dam Reservoir (Under Construction)
Idan Ibrahim Ghdhban, Raad Hoobi Irzooki
Tikrit Journal of Engineering Sciences (2024) Vol. 31, Iss. 2, pp. 255-271
Open Access
A new framework for urban flood volume estimation using low-impact development methods and intelligent models
Yashar Dadrasajirlou, Hojat Karami, Alireza Rezaei, et al.
Elsevier eBooks (2024), pp. 83-109
Closed Access
Effectiveness of Submerged Vanes in Sediment Control to the Intake Channels: A Review and Future Directions
Elham Fazel Najafabadi, Seyed Ali Ayyoubzadeh
Journal of Irrigation and Drainage Engineering (2024) Vol. 151, Iss. 2
Closed Access
A Comparative Analysis of Sediment Concentration Using Artificial Intelligence and Empirical Equations
Muhammad Ashraf Khalid, Abdul Razzaq Ghumman, Ghufran Ahmed Pasha
Hydrology (2024) Vol. 11, Iss. 5, pp. 63-63
Open Access
Evaluation of the efficiency of DEEP-LSTM model in estimating evaporation from the pan in dry areas and its comparison with MLP model
Amirhossein Samii, Hojat Karami, Hamidreza Ghazvinian, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 2
Developing a generic relation for predicting sediment pick-up rate using symbolic soft computing techniques
Masoud Haghbin, Ahmad Sharafati, Seyed Babak Haji Seyed Asadollah, et al.
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 7, pp. 18509-18521
Closed Access | Times Cited: 1
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