Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Short-term streamflow time series prediction model by machine learning tool based on data preprocessing technique and swarm intelligence algorithm
Wen-jing Niu, Zhong-kai Feng, Wenfa Yang, et al.
Hydrological Sciences Journal (2020) Vol. 65, Iss. 15, pp. 2590-2603
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Runoff Forecasting using Convolutional Neural Networks and optimized Bi-directional Long Short-term Memory
Tunhua Wu, Zhaocai Wang, Yuan Hu, et al.
Water Resources Management (2023) Vol. 37, Iss. 2, pp. 937-953
Closed Access | Times Cited: 79
An enhanced monthly runoff time series prediction using extreme learning machine optimized by salp swarm algorithm based on time varying filtering based empirical mode decomposition
Wenchuan Wang, Qi Cheng, Kwok‐wing Chau, et al.
Journal of Hydrology (2023) Vol. 620, pp. 129460-129460
Closed Access | Times Cited: 42
River stream flow prediction through advanced machine learning models for enhanced accuracy
Naresh Kedam, Deepak Kumar Tiwari, Vijendra Kumar, et al.
Results in Engineering (2024) Vol. 22, pp. 102215-102215
Open Access | Times Cited: 16
A comprehensive comparison of recent developed meta-heuristic algorithms for streamflow time series forecasting problem
Ali Najah Ahmed, To Van Lam, Nguyễn Duy Hùng, et al.
Applied Soft Computing (2021) Vol. 105, pp. 107282-107282
Closed Access | Times Cited: 83
Hybridization of hybrid structures for time series forecasting: a review
Zahra Hajirahimi, Mehdi Khashei
Artificial Intelligence Review (2022) Vol. 56, Iss. 2, pp. 1201-1261
Closed Access | Times Cited: 65
An adaptive daily runoff forecast model using VMD-LSTM-PSO hybrid approach
Wang Xiu-jie, Yanpeng Wang, Pei-Xian Yuan, et al.
Hydrological Sciences Journal (2021) Vol. 66, Iss. 9, pp. 1488-1502
Closed Access | Times Cited: 59
A review of deep learning and machine learning techniques for hydrological inflow forecasting
Sarmad Dashti Latif, Ali Najah Ahmed
Environment Development and Sustainability (2023) Vol. 25, Iss. 11, pp. 12189-12216
Closed Access | Times Cited: 30
Development of a national 7-day ensemble streamflow forecasting service for Australia
Hapu Arachchige Prasantha Hapuarachchi, MA Bari, Aynul Kabir, et al.
Hydrology and earth system sciences (2022) Vol. 26, Iss. 18, pp. 4801-4821
Open Access | Times Cited: 29
A Comparative Assessment of Machine Learning and Deep Learning Models for the Daily River Streamflow Forecasting
Malihe Danesh, Amin Gharehbaghi, Saeid Mehdizadeh, et al.
Water Resources Management (2024)
Closed Access | Times Cited: 6
Review of Recent Trends in the Hybridisation of Preprocessing-Based and Parameter Optimisation-Based Hybrid Models to Forecast Univariate Streamflow
Baydaa Abdul Kareem, Salah L. Zubaidi, Nadhir Al‐Ansari, et al.
Computer Modeling in Engineering & Sciences (2023) Vol. 138, Iss. 1, pp. 1-41
Open Access | Times Cited: 11
A weights combined model for middle and long-term streamflow forecasts and its value to hydropower maximization
Yuxue Guo, Yue‐Ping Xu, Jingkai Xie, et al.
Journal of Hydrology (2021) Vol. 602, pp. 126794-126794
Closed Access | Times Cited: 24
Prediction of river inflow of the major tributaries of Indus river basin using hybrids of EEMD and LMD methods
Maha Shabbir, Sohail Chand, Farhat Iqbal
Arabian Journal of Geosciences (2023) Vol. 16, Iss. 4
Closed Access | Times Cited: 7
Improved monthly streamflow prediction using integrated multivariate adaptive regression spline with K-means clustering: implementation of reanalyzed remote sensing data
Özgür Kişi, Salim Heddam, Kulwinder Singh Parmar, et al.
Stochastic Environmental Research and Risk Assessment (2024) Vol. 38, Iss. 6, pp. 2489-2519
Open Access | Times Cited: 2
Applicability of ANN Model and CPSOCGSA Algorithm for Multi-Time Step Ahead River Streamflow Forecasting
Baydaa Abdul Kareem, Salah L. Zubaidi, Hussein Mohammed Ridha, et al.
Hydrology (2022) Vol. 9, Iss. 10, pp. 171-171
Open Access | Times Cited: 10
Daily streamflow prediction based on the long short-term memory algorithm: a case study in the Vietnamese Mekong Delta
Huu Duy Nguyen, Chien Pham Van, Quoc‐Huy Nguyen, et al.
Journal of Water and Climate Change (2023) Vol. 14, Iss. 4, pp. 1247-1267
Open Access | Times Cited: 5
Machine learning and CORDEX-Africa regional model for assessing the impact of climate change on the Gilgel Gibe Watershed, Ethiopia
Amanuel Kumsa Bojer, Muluneh Woldetsadik, Bereket Hailu Biru
Journal of Environmental Management (2024) Vol. 363, pp. 121394-121394
Closed Access | Times Cited: 1
A Statistical Analysis Model of Big Data for Precise Poverty Alleviation Based on Multisource Data Fusion
Tian Liang, Xuefang Wang
Scientific Programming (2022) Vol. 2022, pp. 1-10
Open Access | Times Cited: 4
Development of a national 7-day ensemble streamflow forecasting service for Australia
Hapu Arachchige Prasantha Hapuarachchi, MA Bari, Aynul Kabir, et al.
(2022)
Open Access | Times Cited: 3
Research on Optimal Selection of Runoff Prediction Models Based on Coupled Machine Learning Methods
Wei Xing, M.M. Chen, Yulin Zhou, et al.
Research Square (Research Square) (2024)
Open Access
Forecasting urban water demand using different hybrid-based metaheuristic algorithms’ inspire for extracting artificial neural network hyperparameters
Salah L. Zubaidi, Hussein Al-Bugharbee, Ali W. Alattabi, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Research on optimal selection of runoff prediction models based on coupled machine learning methods
Wei Xing, Mengen Chen, Yulin Zhou, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Smart Village Health System IoT to Envisage Chronical Disease Using Artificial Neural Network
Muhammad Yousif, Akifa Abbas, Zahid Hasan, et al.
Internet of Things and Cloud Computing (2021) Vol. 9, Iss. 4, pp. 27-27
Open Access | Times Cited: 2
Dataset preparation
Hossein Bonakdari, Isa Ebtehaj, Joseph D. Ladouceur
Elsevier eBooks (2023), pp. 1-47
Closed Access
Developing an Artificial Intelligence-Based Monthly Streamflow Forecasting Model
Shamotra, Monzur Alam Imteaz
Algorithms for intelligent systems (2023), pp. 367-379
Closed Access
Comment on hess-2022-72
Hapu Arachchige Prasantha Hapuarachchi, MA Bari, Aynul Kabir, et al.
(2022)
Open Access
Page 1 - Next Page

Scroll to top