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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:

Satellite-based estimation of daily suspended sediment load using hybrid intelligent models
Siyamak Doroudi, Ahmad Sharafati, Seyed Hossein Mohajeri
Hydrological Sciences Journal (2022) Vol. 68, Iss. 2, pp. 307-324
Closed Access | Times Cited: 8

Showing 8 citing articles:

Enhancing prediction of dissolved oxygen over Santa Margarita River: Long short-term memory incorporated with multi-objective observer-teacher-learner optimization
Siyamak Doroudi, Yusef Kheyruri, Ahmad Sharafati, et al.
Journal of Water Process Engineering (2025) Vol. 70, pp. 106969-106969
Closed Access | Times Cited: 1
Prediction of permeability coefficient of soil using hybrid artificial neural network models
Majid M. Kharnoob, Tarak Vora, A K Dasarathy, et al.
Modeling Earth Systems and Environment (2025) Vol. 11, Iss. 1
Closed Access | Times Cited: 1
Optimal tuning of three deep learning methods with signal processing and anomaly detection for multi-class damage detection of a large-scale bridge
Rouzbeh Doroudi, Seyed Hossein Hosseini Lavassani, Mohsen Shahrouzi
Structural Health Monitoring (2024) Vol. 23, Iss. 5, pp. 3227-3252
Closed Access | Times Cited: 9
A newly developed multi-objective evolutionary paradigm for predicting suspended sediment load
Siyamak Doroudi, Ahmad Sharafati
Journal of Hydrology (2024) Vol. 634, pp. 131090-131090
Closed Access | Times Cited: 7
Prediction of suspended sediment load in Sungai Semenyih using extreme learning machines and metaheuristic optimization approach
Azlan Saleh, Mohd Asyraf Zulkifley
Journal of Environmental Management (2025) Vol. 380, pp. 124987-124987
Closed Access
Predicting acceleration response of super‐tall buildings by support vector regression
Rouzbeh Doroudi, Seyed Hossein Hosseini Lavassani, Mohsen Shahrouzi
The Structural Design of Tall and Special Buildings (2023) Vol. 32, Iss. 16
Closed Access | Times Cited: 6
Feature selection and response prediction on a suspension bridge due to wind effect by machine learning
A. Afshar, Gholamreza Nouri, Seyed Hossein Hosseini Lavassani, et al.
Structures (2024) Vol. 71, pp. 107945-107945
Open 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
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