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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:

Random vector functional link network: Recent developments, applications, and future directions
A. K. Malik, Ruobin Gao, M. A. Ganaie, et al.
Applied Soft Computing (2023) Vol. 143, pp. 110377-110377
Open Access | Times Cited: 97

Showing 1-25 of 97 citing articles:

Ensemble deep learning: A review
M. A. Ganaie, Minghui Hu, A. K. Malik, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 115, pp. 105151-105151
Open Access | Times Cited: 1187
Neuro-Fuzzy Random Vector Functional Link Neural Network for Classification and Regression Problems
M. Sajid, A. K. Malik, M. Tanveer, et al.
IEEE Transactions on Fuzzy Systems (2024) Vol. 32, Iss. 5, pp. 2738-2749
Open Access | Times Cited: 18
Enhanced Random Vector Functional Link Based on Artificial Protozoa Optimizer to Predict Wear Characteristics of Cu-ZrO2 Nanocomposites
Mamdouh I. Elamy, Mohamed Abd Elaziz, Mohammed Azmi Al‐Betar, et al.
Results in Engineering (2024) Vol. 24, pp. 103007-103007
Open Access | Times Cited: 15
Fine-Grained Vessel Traffic Flow Prediction With a Spatio-Temporal Multigraph Convolutional Network
Maohan Liang, Ryan Wen Liu, Yang Zhan, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 12, pp. 23694-23707
Closed Access | Times Cited: 63
Online dynamic ensemble deep random vector functional link neural network for forecasting
Ruobin Gao, Ruilin Li, Minghui Hu, et al.
Neural Networks (2023) Vol. 166, pp. 51-69
Open Access | Times Cited: 28
Ensemble deep learning in speech signal tasks: A review
M. Tanveer, Aryan Rastogi, Vardhan Paliwal, et al.
Neurocomputing (2023) Vol. 550, pp. 126436-126436
Closed Access | Times Cited: 23
To determine the compressive strength of self-compacting recycled aggregate concrete using artificial neural network (ANN)
Jesús de‐Prado‐Gil, Rebeca Martínez‐García, P. Jagadesh, et al.
Ain Shams Engineering Journal (2023) Vol. 15, Iss. 2, pp. 102548-102548
Open Access | Times Cited: 21
A generalized method for diagnosing multi-faults in rotating machines using imbalance datasets of different sensor modalities
Rismaya Kumar Mishra, Anurag Choudhary, Shahab Fatima, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 132, pp. 107973-107973
Closed Access | Times Cited: 11
A short-term wind power prediction approach based on an improved dung beetle optimizer algorithm, variational modal decomposition, and deep learning
Yan He, Wei Wang, Meng Li, et al.
Computers & Electrical Engineering (2024) Vol. 116, pp. 109182-109182
Closed Access | Times Cited: 11
Quantitative improvement of streamflow forecasting accuracy in the Atlantic zones of Canada based on hydro-meteorological signals: A multi-level advanced intelligent expert framework
Mozhdeh Jamei, Mehdi Jamei, Mumtaz Ali, et al.
Ecological Informatics (2024) Vol. 80, pp. 102455-102455
Open Access | Times Cited: 10
OPT-CO: Optimizing pre-trained transformer models for efficient COVID-19 classification with stochastic configuration networks
Ziquan Zhu, Lu Liu, Robert C. Free, et al.
Information Sciences (2024) Vol. 680, pp. 121141-121141
Open Access | Times Cited: 10
Graph Embedded Intuitionistic Fuzzy Random Vector Functional Link Neural Network for Class Imbalance Learning
M. A. Ganaie, M. Sajid, A. K. Malik, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 35, Iss. 9, pp. 11671-11680
Open Access | Times Cited: 8
Ship order book forecasting by an ensemble deep parsimonious random vector functional link network
R.C.H. Cheng, Ruobin Gao, Kum Fai Yuen
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108139-108139
Closed Access | Times Cited: 7
Ensemble Deep Random Vector Functional Link Neural Network for Regression
Minghui Hu, Jet Herng Chion, Ponnuthurai Nagaratnam Suganthan, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2022) Vol. 53, Iss. 5, pp. 2604-2615
Open Access | Times Cited: 34
Significant wave height forecasting using hybrid ensemble deep randomized networks with neurons pruning
Ruobin Gao, Ruilin Li, Minghui Hu, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 117, pp. 105535-105535
Closed Access | Times Cited: 28
EEG-based emotion recognition using random Convolutional Neural Networks
Wen Cheng, Ruobin Gao, Ponnuthurai Nagaratnam Suganthan, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 116, pp. 105349-105349
Closed Access | Times Cited: 27
An enhanced ensemble deep random vector functional link network for driver fatigue recognition
Ruilin Li, Ruobin Gao, Liqiang Yuan, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106237-106237
Open Access | Times Cited: 18
Short-term drought Index forecasting for hot and semi-humid climate Regions: A novel empirical Fourier decomposition-based ensemble Deep-Random vector functional link strategy
Mehdi Jamei, Mumtaz Ali, Sayed M. Bateni, et al.
Computers and Electronics in Agriculture (2024) Vol. 217, pp. 108609-108609
Closed Access | Times Cited: 6
Shipping market time series forecasting via an Ensemble Deep Dual-Projection Echo State Network
Xuefei Song, Zhong Shuo Chen
Computers & Electrical Engineering (2024) Vol. 117, pp. 109218-109218
Closed Access | Times Cited: 6
Intuitionistic Fuzzy Broad Learning System: Enhancing Robustness Against Noise and Outliers
M. Sajid, A. K. Malik, M. Tanveer
IEEE Transactions on Fuzzy Systems (2024) Vol. 32, Iss. 8, pp. 4460-4469
Closed Access | Times Cited: 5
Decoding cognitive health using machine learning: A comprehensive evaluation for diagnosis of significant memory concern
M. Sajid, Rahul Sharma, Iman Beheshti, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2024) Vol. 14, Iss. 5
Closed Access | Times Cited: 5
Benchmarking feed-forward randomized neural networks for vessel trajectory prediction
R.C.H. Cheng, Maohan Liang, Huanhuan Li, et al.
Computers & Electrical Engineering (2024) Vol. 119, pp. 109499-109499
Closed Access | Times Cited: 5
Complex-valued random vector functional link neural network based on real augmented representation and its applications
Chunyang Liu, Huisheng Zhang, Luyao Chen, et al.
Applied Soft Computing (2025), pp. 112682-112682
Closed Access
Wave energy forecasting: A state-of-the-art survey and a comprehensive evaluation
Ruobin Gao, Xiaocai Zhang, Maohan Liang, et al.
Applied Soft Computing (2025) Vol. 170, pp. 112652-112652
Closed Access
An Optimized Extreme Learning Machine Composite Framework for Point, Probabilistic, and Quantile Regression Forecasting of Carbon Price
Xu‐Ming Wang, Jiaqi Zhou, Xiaobing Yu
Process Safety and Environmental Protection (2025), pp. 106772-106772
Closed Access
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