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:

Streamflow forecasting using a hybrid LSTM-PSO approach: the case of Seyhan Basin
Bülent Haznedar, Hüseyin Çağan Kılınç, Furkan Ozkan, et al.
Natural Hazards (2023) Vol. 117, Iss. 1, pp. 681-701
Closed Access | Times Cited: 23

Showing 23 citing articles:

Advanced Machine Learning Techniques to Improve Hydrological Prediction: A Comparative Analysis of Streamflow Prediction Models
Vijendra Kumar, Naresh Kedam, Kul Vaibhav Sharma, et al.
Water (2023) Vol. 15, Iss. 14, pp. 2572-2572
Open Access | Times Cited: 97

Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research directions
Tao Hai, Sani I. Abba, Ahmed M. Al‐Areeq, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 129, pp. 107559-107559
Closed Access | Times Cited: 56

Prediction model of spontaneous combustion risk of extraction borehole based on PSO-BPNN and its application
Wei Wang, Ran Liang, Yun Qi, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 10

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

An evolutionary hybrid method based on particle swarm optimization algorithm and extreme gradient boosting for short-term streamflow forecasting
Hüseyin Çağan Kılınç, Bülent Haznedar, Furkan Ozkan, et al.
Acta Geophysica (2024) Vol. 72, Iss. 5, pp. 3661-3681
Closed Access | Times Cited: 5

Projection of groundwater level fluctuations using deep learning and dynamic system response models in a drought affected area
Dilip Kumar Roy, Chitra Rani Paul, Md. Panjarul Haque, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 1
Closed Access

Advanced Soft Computing Techniques for Monthly Streamflow Prediction in Seasonal Rivers
Mohammed Achite, Okan Mert Katipoğlu, Veysi Kartal, et al.
Atmosphere (2025) Vol. 16, Iss. 1, pp. 106-106
Open Access

Twin extreme learning machine model and cooperation search algorithm for multi-step-ahead point and interval runoff prediction
Zhong-kai Feng, Pan Liu, Wen-jing Niu, et al.
Journal of Hydrology (2025), pp. 132778-132778
Closed Access

MTV19ANet: A Multi-tier Visual Geometry Group 19 with Attention Network-Based Streamflow Prediction System
A. Shashank, P. Geetha, Jyothish Lal G, et al.
Water Resources Management (2025)
Closed Access

Monthly Runoff Prediction Via Mode Decomposition-Recombination Technique
Xi Yang, Zhihe Chen, Min Qin
Water Resources Management (2023) Vol. 38, Iss. 1, pp. 269-286
Closed Access | Times Cited: 15

A novel metaheuristic optimization and soft computing techniques for improved hydrological drought forecasting
Okan Mert Katipoğlu, Neşe Ertugay, Nehal Elshaboury, et al.
Physics and Chemistry of the Earth Parts A/B/C (2024) Vol. 135, pp. 103646-103646
Closed Access | Times Cited: 4

Multimodal Fusion of Optimized GRU–LSTM with Self-Attention Layer for Hydrological Time Series Forecasting
Hüseyin Çağan Kılınç, Sina Apak, Furkan Ozkan, et al.
Water Resources Management (2024) Vol. 38, Iss. 15, pp. 6045-6062
Closed Access | Times Cited: 3

River discharge prediction based multivariate climatological variables using hybridized long short-term memory with nature inspired algorithm
Sandeep Samantaray, Abinash Sahoo, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, et al.
Journal of Hydrology (2024), pp. 132453-132453
Closed Access | Times Cited: 3

Performance evaluation of various hydrological models with respect to hydrological responses under climate change scenario: a review
Yilak Taye Bihon, Tarun Kumar Lohani, Abebe Temesgen Ayalew, et al.
Cogent Engineering (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2

Optimization Algorithms and Their Applications and Prospects in Manufacturing Engineering
Juan Song, Bangfu Wang, Xiaohong Hao
Materials (2024) Vol. 17, Iss. 16, pp. 4093-4093
Open Access | Times Cited: 2

Urban Water Consumption Prediction Based on CPMBNIP
Jun Li, Songbai Song
Water Resources Management (2023) Vol. 37, Iss. 13, pp. 5189-5213
Closed Access | Times Cited: 6

Exploring the link between drought‐related terms and public interests: Global insights from LSTM‐based predictions and Google Trends analysis
Seyed Mohammad Bagher Shahabi‐Haghighi, Hossein Hamidifar
Hydrological Processes (2023) Vol. 37, Iss. 11
Closed Access | Times Cited: 4

Multi-phase hybrid bidirectional deep learning model integrated with Markov chain Monte Carlo bivariate copulas function for streamflow prediction
Asif Iqbal, Tanveer Ahmed Siddiqi
Stochastic Environmental Research and Risk Assessment (2023) Vol. 38, Iss. 4, pp. 1351-1382
Closed Access | Times Cited: 4

Analytical Survey on the Sustainable Advancements in Water and Hydrology Resources with AI Implications for a Resilient Future
Alok Bhadauria, M Siva Swetha Reddy, V Asha, et al.
E3S Web of Conferences (2024) Vol. 552, pp. 01074-01074
Open Access

Developing an effective optimized machine learning approaches for settlement prediction of shallow foundation
Mohammad Khajehzadeh, Suraparb Keawsawasvong, Viroon Kamchoom‬, et al.
Heliyon (2024) Vol. 10, Iss. 17, pp. e36714-e36714
Open Access

Machine Learning Model for River Discharge Forecast: A Case Study of the Ottawa River in Canada
M. Almetwally Ahmed, S. Samuel Li
Hydrology (2024) Vol. 11, Iss. 9, pp. 151-151
Open Access

A novel optimized coupled runoff model is developed based on the concept of “decomposition-prediction-reconstruction”
Xianqi Zhang, Yupeng Zheng, Yang Yang, et al.
Environmental Earth Sciences (2024) Vol. 83, Iss. 22
Closed Access

Short Term Passenger Flow Forecast of Urban Rail Transit Based on PSO-LSTM
Shuying Liu, Vladimir Y. Mariano
(2023), pp. 758-762
Closed Access

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