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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:

Activity Recognition Using Smartphone Sensors, Robust Features, and Recurrent Neural Network
Md. Zia Uddin, Jim Tørresen
(2019), pp. 1-6
Closed Access | Times Cited: 13

Showing 13 citing articles:

Deep learning for prediction of depressive symptoms in a large textual dataset
Md. Zia Uddin, Kim Kristoffer Dysthe, Asbjørn Følstad, et al.
Neural Computing and Applications (2021) Vol. 34, Iss. 1, pp. 721-744
Open Access | Times Cited: 113
Deep Learning (CNN, RNN) Applications for Smart Homes: A Systematic Review
Jiyeon Yu, Angélica de Antonio, Elena Villalba‐Mora
Computers (2022) Vol. 11, Iss. 2, pp. 26-26
Open Access | Times Cited: 49
A Review on Challenges in Telerehabilitation and Human Activity Recognition Approaches during Covid-19 Pandemic
Md. Mahmudur Rahman, Kok Beng Gan, Noor Azah Abd Aziz
Jurnal Kejuruteraan (2023) Vol. 35, Iss. 3, pp. 577-586
Open Access | Times Cited: 33
A Novel Deep Multifeature Extraction Framework Based on Attention Mechanism Using Wearable Sensor Data for Human Activity Recognition
Yang Wang, Hongji Xu, Yunxia Liu, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 7, pp. 7188-7198
Closed Access | Times Cited: 29
Large-Scale Textual Datasets and Deep Learning for the Prediction of Depressed Symptoms
Sudeshna Chakraborty, Hussain Falih Mahdi, Mohammed Hasan Ali Al‐Abyadh, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-10
Open Access | Times Cited: 6
Multidimensional Analysis Tagger and Deep Learning for a Robust Fake News Detection System
Md. Zia Uddin, Nele Põldvere, Aleena Thomas
Communications in computer and information science (2024), pp. 77-87
Closed Access
Human activity recognition and classification using of convolutional neural networks and recurrent neural networks
Mohammed Albaba, Alhakam Qassab, Arif Yılmaz
International Journal of Applied Mathematics Electronics and Computers (2020) Vol. 8, Iss. 4, pp. 185-189
Open Access | Times Cited: 5
Klasifikasi Physical Activity Berbasis Sensor Accelorometer, Gyroscope, dan Gravity menggunakan Algoritma Multi-class Ensemble GradientBoost
Firman Aziz, Syahrul Usman, Jeffry Jeffry
JURNAL MEDIA INFORMATIKA BUDIDARMA (2021) Vol. 5, Iss. 4, pp. 1265-1265
Open Access | Times Cited: 5
A Hybrid Deep Learning Model for Predicting Depression Symptoms from Large-Scale Textual Dataset
Sulaiman Almutairi, Mohammed Abohashrh, Hasanain Hayder Razzaq, et al.
IEEE Access (2024) Vol. 12, pp. 168477-168499
Open Access
Recognizing Fall Risk Factors with Convolutional Neural Network
Sittichai Sukreep, Piyapat Dajpratham, Chakarida Nukoolkit, et al.
(2023), pp. 391-396
Closed Access | Times Cited: 1
Artificial Intelligence (AI) for Early Detection of Depression Using Machine Learning
U. Mary, E. O. Nwoye
Lecture notes in networks and systems (2023), pp. 259-272
Closed Access | Times Cited: 1
Human robot interaction as a service for combatting COVID-19: an experimental case study
Yusuf Özçevik
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 14, Iss. 11, pp. 14671-14680
Open Access | Times Cited: 2
Smart Home Technology for the Elderly : Adaptation to the User Needs and Acceptance Framework
Ji Yeon Yu
(2022)
Open Access
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