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:

Cascaded-ANFIS to simulate nonlinear rainfall–runoff relationship
Namal Rathnayake, Upaka Rathnayake, Imiya M. Chathuranika, et al.
Applied Soft Computing (2023) Vol. 147, pp. 110722-110722
Closed Access | Times Cited: 16

Showing 16 citing articles:

A new frontier in streamflow modeling in ungauged basins with sparse data: A modified generative adversarial network with explainable AI
U.A.K.K. Perera, D.T.S. Coralage, I.U. Ekanayake, et al.
Results in Engineering (2024) Vol. 21, pp. 101920-101920
Open Access | Times Cited: 17

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

Deep learning for Multi-horizon Water levelForecasting in KRS reservoir, India
Abhinav Dayal, Sridevi Bonthu, Vamsi Nagaraju T, et al.
Results in Engineering (2024) Vol. 21, pp. 101828-101828
Open Access | Times Cited: 14

In-depth simulation of rainfall–runoff relationships using machine learning methods
Mehdi Fuladipanah, Alireza Shahhosseini, Namal Rathnayake, et al.
Water Practice & Technology (2024) Vol. 19, Iss. 6, pp. 2442-2459
Open Access | Times Cited: 10

Development and optimization of an Artificial Neural Network (ANN) model for predicting the cadmium fixation efficiency of biochar in soil
Yifan Wang, Liang Xu, Jianen Li, et al.
Journal of environmental chemical engineering (2024), pp. 114196-114196
Closed Access | Times Cited: 3

Impact of economic indicators on rice production: A machine learning approach in Sri Lanka
Sherin Kularathne, Namal Rathnayake, Madhawa Herath, et al.
PLoS ONE (2024) Vol. 19, Iss. 6, pp. e0303883-e0303883
Open Access | Times Cited: 2

Predicting Rainfall by Fuzzy Logic
Jaime Santos‐Reyes, Yunue Garcia-Pimentel
Advances in computational intelligence and robotics book series (2024), pp. 99-117
Closed Access

Cascaded-ANFIS and its Successful Real-World Applications
Yukinobu Hoshino, Namal Rathnayake, Tuan Linh Dang, et al.
IntechOpen eBooks (2024)
Open Access

Enhancing sediment load predictions: a comparative analysis of local and global fuzzy cerebellar model articulation controller (FCMAC)
Negin Behnia, Mehdi Hayatzadeh, Mahin Fooladi Doghozlo
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access

Analyzing the impact of socioeconomic indicators on gender inequality in Sri Lanka: A machine learning-based approach
Sherin Kularathne, A. N. F. Perera, Namal Rathnayake, et al.
PLoS ONE (2024) Vol. 19, Iss. 12, pp. e0312395-e0312395
Open Access

CodGRU: Covariate gated attention GRU for short term runoff forecasting
Jiahao Cao, Tong Xiao, Zhe Cao
(2024), pp. 170-175
Closed Access

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