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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:

Support vector regression optimized by meta-heuristic algorithms for daily streamflow prediction
Anurag Malik, Yazid Tikhamarine, Doudja Souag-Gamane, et al.
Stochastic Environmental Research and Risk Assessment (2020) Vol. 34, Iss. 11, pp. 1755-1773
Closed Access | Times Cited: 117

Showing 26-50 of 117 citing articles:

Prediction of suspended sediment concentration using hybrid SVM-WOA approaches
Sandeep Samantaray, Abinash Sahoo
Geocarto International (2021) Vol. 37, Iss. 19, pp. 5609-5635
Closed Access | Times Cited: 43
Streamflow forecasting
Priyanka Sharma, Deepesh Machiwal
Elsevier eBooks (2021), pp. 1-50
Closed Access | Times Cited: 41
Daily pan-evaporation estimation in different agro-climatic zones using novel hybrid support vector regression optimized by Salp swarm algorithm in conjunction with gamma test
Anurag Malik, Yazid Tikhamarine, Nadhir Al‐Ansari, et al.
Engineering Applications of Computational Fluid Mechanics (2021) Vol. 15, Iss. 1, pp. 1075-1094
Open Access | Times Cited: 40
Prediction and uncertainty quantification of ultimate bond strength between UHPC and reinforcing steel bar using a hybrid machine learning approach
Abdulwarith Ibrahim Bibi Farouk, Jinsong Zhu, Jingnan Ding, et al.
Construction and Building Materials (2022) Vol. 345, pp. 128360-128360
Closed Access | Times Cited: 32
Covariance Matrix Adaptation Evolution Strategy for Improving Machine Learning Approaches in Streamflow Prediction
Rana Muhammad Adnan Ikram, Leonardo Goliatt, Özgür Kişi, et al.
Mathematics (2022) Vol. 10, Iss. 16, pp. 2971-2971
Open Access | Times Cited: 32
Assessment of future water demand and supply using WEAP model in Dhasan River Basin, Madhya Pradesh, India
Shreya Nivesh, Jyoti P. Patil, Vikas Chandra Goyal, et al.
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 10, pp. 27289-27302
Closed Access | Times Cited: 31
Prediction of soil cation exchange capacity using enhanced machine learning approaches in the southern region of the Caspian Sea
Samad Emamgholizadeh, Ahmad Bazoobandi, Babak Mohammadi, et al.
Ain Shams Engineering Journal (2022) Vol. 14, Iss. 2, pp. 101876-101876
Open Access | Times Cited: 30
Predicting Football Team Performance with Explainable AI: Leveraging SHAP to Identify Key Team-Level Performance Metrics
Serafeim Moustakidis, Spyridon Plakias, Christos Kokkotis, et al.
Future Internet (2023) Vol. 15, Iss. 5, pp. 174-174
Open Access | Times Cited: 17
Optimized ANN-based approach for estimation of shear strength of soil
Ahsan Rabbani, Pijush Samui, Sunita Kumari
Asian Journal of Civil Engineering (2023) Vol. 24, Iss. 8, pp. 3627-3640
Closed Access | Times Cited: 16
Improved prediction of monthly streamflow in a mountainous region by Metaheuristic-Enhanced deep learning and machine learning models using hydroclimatic data
Rana Muhammad Adnan, Amin Mirboluki, Mojtaba Mehraein, et al.
Theoretical and Applied Climatology (2023) Vol. 155, Iss. 1, pp. 205-228
Closed Access | Times Cited: 16
Artificial Intelligence aided pharmaceutical engineering: Development of hybrid machine learning models for prediction of nanomedicine solubility in supercritical solvent
Chunchao Chen
Journal of Molecular Liquids (2024) Vol. 397, pp. 124127-124127
Closed Access | Times Cited: 6
Streamflow prediction using support vector regression machine learning model for Tehri Dam
Bhanu Sharma, N. K. Goel
Applied Water Science (2024) Vol. 14, Iss. 5
Open Access | Times Cited: 5
Enhanced monthly streamflow prediction using an input–output bi-decomposition data driven model considering meteorological and climate information
Qiucen Guo, Xuehua Zhao, Yuhang Zhao, et al.
Stochastic Environmental Research and Risk Assessment (2024) Vol. 38, Iss. 8, pp. 3059-3077
Closed Access | Times Cited: 5
Water Resource Allocation Management and Dam Catchment Performance Evaluation Using the WEAP Model: A Case Study of Iran’s Bakhtegan Catchment
Yashar Karimi, Hossein Khorshidi
Journal of Water Resources Planning and Management (2025) Vol. 151, Iss. 4
Closed Access
Logistic-Gauss Circle Optimizer: Theory and Applications
Jinpeng Wang, Yuansheng Gao, Lang Qin, et al.
Applied Mathematical Modelling (2025), pp. 116052-116052
Closed Access
Unveiling global flood hotspots: Optimized machine learning techniques for enhanced flood susceptibility modeling
Mahdi Panahi, Khabat Khosravi, Fatemeh Rezaie, et al.
Journal of Hydrology Regional Studies (2025) Vol. 58, pp. 102285-102285
Closed Access
Predicting Rainfall-Induced Soil Erosion Based on a Hybridization of Adaptive Differential Evolution and Support Vector Machine Classification
Tuan Vu Dinh, Hieu Nguyen, Xuan-Linh Tran, et al.
Mathematical Problems in Engineering (2021) Vol. 2021, pp. 1-20
Open Access | Times Cited: 35
Comparison of EEMD-ARIMA, EEMD-BP and EEMD-SVM algorithms for predicting the hourly urban water consumption
Xingpo Liu, Yiqing Zhang, Qichen Zhang
Journal of Hydroinformatics (2022) Vol. 24, Iss. 3, pp. 535-558
Open Access | Times Cited: 27
Multi-space collaboration framework based optimal model selection for power load forecasting
Huafeng Xian, Jinxing Che
Applied Energy (2022) Vol. 314, pp. 118937-118937
Closed Access | Times Cited: 25
The innovative optimization techniques for forecasting the energy consumption of buildings using the shuffled frog leaping algorithm and different neural networks
Yiran Yang, Gang Li, Tao Luo, et al.
Energy (2022) Vol. 268, pp. 126548-126548
Closed Access | Times Cited: 25
A hybrid model for water quality parameter prediction based on CEEMDAN-IALO-LSTM ensemble learning
Chenguang Song, Leihua Yao
Environmental Earth Sciences (2022) Vol. 81, Iss. 9
Closed Access | Times Cited: 23
Prediction of groundwater-level using novel SVM-ALO, SVM-FOA, and SVM-FFA algorithms at Purba-Medinipur, India
Sandeep Samantaray, Abinash Sahoo, Deba Prakash Satapathy
Arabian Journal of Geosciences (2022) Vol. 15, Iss. 8
Closed Access | Times Cited: 23
Prediction using multi-objective slime mould algorithm optimized support vector regression model
Chong Peng, Zhongyuan Che, T. Warren Liao, et al.
Applied Soft Computing (2023) Vol. 145, pp. 110580-110580
Open Access | Times Cited: 14
Detection and attribution of eco-hydrological alteration based on deep learning-driven gap-filled runoff in a large-scale catchment
Zhibao Dong, Xuan Ji, Kai Ma
Journal of Hydrology Regional Studies (2025) Vol. 58, pp. 102228-102228
Closed Access
A generalised hydrological model for streamflow prediction using wavelet Ensembling
Chinmaya Panda, Kanhu Charan Panda, Ram Mandir Singh, et al.
Journal of Hydrology (2025), pp. 132883-132883
Closed Access

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