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:

Ensemble models with uncertainty analysis for multi-day ahead forecasting of chlorophyll a concentration in coastal waters
Shahaboddin Shamshirband, Ehsan Jafari Nodoushan, Jason E. Adolf, et al.
Engineering Applications of Computational Fluid Mechanics (2018) Vol. 13, Iss. 1, pp. 91-101
Open Access | Times Cited: 159

Showing 1-25 of 159 citing articles:

A survey on river water quality modelling using artificial intelligence models: 2000–2020
Tiyasha Tiyasha, Tran Minh Tung, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬
Journal of Hydrology (2020) Vol. 585, pp. 124670-124670
Closed Access | Times Cited: 527
A Review of the Artificial Neural Network Models for Water Quality Prediction
Yingyi Chen, Lihua Song, Yeqi Liu, et al.
Applied Sciences (2020) Vol. 10, Iss. 17, pp. 5776-5776
Open Access | Times Cited: 315
Assessment of stream quality and health risk in a subtropical Turkey river system: A combined approach using statistical analysis and water quality index
Fikret Ustaoğlu, Yalçın Tepe, Beyhan Taş
Ecological Indicators (2019) Vol. 113, pp. 105815-105815
Closed Access | Times Cited: 308
River water quality index prediction and uncertainty analysis: A comparative study of machine learning models
Seyed Babak Haji Seyed Asadollah, Ahmad Sharafati, Davide Motta, et al.
Journal of environmental chemical engineering (2020) Vol. 9, Iss. 1, pp. 104599-104599
Closed Access | Times Cited: 273
Potential toxic elements in sediment of some rivers at Giresun, Northeast Turkey: A preliminary assessment for ecotoxicological status and health risk
Fikret Ustaoğlu, Md. Saiful Islam
Ecological Indicators (2020) Vol. 113, pp. 106237-106237
Open Access | Times Cited: 271
Prediction of Hydropower Generation Using Grey Wolf Optimization Adaptive Neuro-Fuzzy Inference System
Majid Dehghani, Hossien Riahi-Madvar, Farhad Hooshyaripor, et al.
Energies (2019) Vol. 12, Iss. 2, pp. 289-289
Open Access | Times Cited: 202
Assessment of spatial and temporal variation of ecological environment quality in Ebinur Lake Wetland National Nature Reserve, Xinjiang, China
Yunqing Jing, Zhang Fei, Yufeng He, et al.
Ecological Indicators (2019) Vol. 110, pp. 105874-105874
Closed Access | Times Cited: 180
Advances in Machine Learning Modeling Reviewing Hybrid and Ensemble Methods
Sina Ardabili, Amir Mosavi, Annamária R. Várkonyi-Kóczy
Lecture notes in networks and systems (2020), pp. 215-227
Closed Access | Times Cited: 169
Data-driven soft computing modeling of groundwater quality parameters in southeast Nigeria: comparing the performances of different algorithms
Johnbosco C. Egbueri, Johnson C. Agbasi
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 25, pp. 38346-38373
Closed Access | Times Cited: 98
Data to intelligence: The role of data-driven models in wastewater treatment
Majid Bahramian, Recep Kaan Dereli, Wanqing Zhao, et al.
Expert Systems with Applications (2022) Vol. 217, pp. 119453-119453
Open Access | Times Cited: 95
Water quality prediction based on recurrent neural network and improved evidence theory: a case study of Qiantang River, China
Lei Li, Peng Jiang, Huan Xu, et al.
Environmental Science and Pollution Research (2019) Vol. 26, Iss. 19, pp. 19879-19896
Closed Access | Times Cited: 134
Deep Learning and Machine Learning in Hydrological Processes Climate Change and Earth Systems a Systematic Review
Sina Ardabili, Amir Mosavi, Majid Dehghani, et al.
Lecture notes in networks and systems (2020), pp. 52-62
Closed Access | Times Cited: 131
Estimating Daily Dew Point Temperature Using Machine Learning Algorithms
Sultan Noman Qasem, Saeed Samadianfard, Hamed Sadri Nahand, et al.
Water (2019) Vol. 11, Iss. 3, pp. 582-582
Open Access | Times Cited: 122
Floating photovoltaic plants: Ecological impacts versus hydropower operation flexibility
Jannik Haas, J. Khalighi, Alberto de la Fuente, et al.
Energy Conversion and Management (2020) Vol. 206, pp. 112414-112414
Closed Access | Times Cited: 120
Proposed formulation of surface water quality and modelling using gene expression, machine learning, and regression techniques
Muhammad Izhar Shah, Muhammad Faisal Javed, Taher Abunama
Environmental Science and Pollution Research (2020) Vol. 28, Iss. 11, pp. 13202-13220
Closed Access | Times Cited: 100
Application of newly developed ensemble machine learning models for daily suspended sediment load prediction and related uncertainty analysis
Ahmad Sharafati, Seyed Babak Haji Seyed Asadollah, Davide Motta, et al.
Hydrological Sciences Journal (2020) Vol. 65, Iss. 12, pp. 2022-2042
Open Access | Times Cited: 92
Groundwater Recharge Prediction Using Linear Regression, Multi-Layer Perception Network, and Deep Learning
Xin Huang, Lei Gao, Russell S. Crosbie, et al.
Water (2019) Vol. 11, Iss. 9, pp. 1879-1879
Open Access | Times Cited: 91
Effects of land use on water quality in a River Basin (Daning) of the Three Gorges Reservoir Area, China: Watershed versus riparian zone
Jing Zhang, Siyue Li, Changsheng Jiang
Ecological Indicators (2020) Vol. 113, pp. 106226-106226
Closed Access | Times Cited: 91
Systematic Review of Deep Learning and Machine Learning Models in Biofuels Research
Sina Ardabili, Amir Mosavi, Annamária R. Várkonyi-Kóczy
Lecture notes in networks and systems (2020), pp. 19-32
Closed Access | Times Cited: 88
A Review of Recent Machine Learning Advances for Forecasting Harmful Algal Blooms and Shellfish Contamination
Rafaela C. Cruz, Pedro Reis Costa, Susana Vinga, et al.
Journal of Marine Science and Engineering (2021) Vol. 9, Iss. 3, pp. 283-283
Open Access | Times Cited: 88
Prediction of surface water total dissolved solids using hybridized wavelet-multigene genetic programming: New approach
Mehdi Jamei, Iman Ahmadianfar, Xuefeng Chu, et al.
Journal of Hydrology (2020) Vol. 589, pp. 125335-125335
Closed Access | Times Cited: 85
Transport of marine microplastic particles: why is it so difficult to predict?
Liliya Khatmullina, Irina Chubarenko
Anthropocene Coasts (2019) Vol. 2, Iss. 1, pp. 293-305
Open Access | Times Cited: 78
Remotely Sensing the Source and Transport of Marine Plastic Debris in Bay Islands of Honduras (Caribbean Sea)
Katerina Kikaki, Κωνσταντίνος Καράντζαλος, Caroline A. Power, et al.
Remote Sensing (2020) Vol. 12, Iss. 11, pp. 1727-1727
Open Access | Times Cited: 78
Impact of intensive land use on heavy metal concentrations and ecological risks in an urbanized river network of Shanghai
Yongsheng Zeng, Chunjuan Bi, Jinpu Jia, et al.
Ecological Indicators (2020) Vol. 116, pp. 106501-106501
Open Access | Times Cited: 76
Suspended sediment load prediction using long short-term memory neural network
Nouar AlDahoul, Yusuf Essam, Pavitra Kumar, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 73
Page 1 - Next Page

Scroll to top