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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:

Combining functional near-infrared spectroscopy and EEG measurements for the diagnosis of attention-deficit hyperactivity disorder
Ayşegül Güven, Miray Altınkaynak, Nazan Dolu, et al.
Neural Computing and Applications (2019) Vol. 32, Iss. 12, pp. 8367-8380
Closed Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Application of data fusion for automated detection of children with developmental and mental disorders: A systematic review of the last decade
Smith K. Khare, Sonja March, Prabal Datta Barua, et al.
Information Fusion (2023) Vol. 99, pp. 101898-101898
Open Access | Times Cited: 78
A systematic review on hybrid EEG/fNIRS in brain-computer interface
Ziming Liu, Jeremy Shore, Miao Wang, et al.
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102595-102595
Closed Access | Times Cited: 92
Investigation of Machine Learning Methods for Early Prediction of Neurodevelopmental Disorders in Children
Sumbul Alam, P. Vivek Raja, Yonis Gulzar
Wireless Communications and Mobile Computing (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 38
Hybrid EEG-fNIRS Brain Computer Interface Based on Common Spatial Pattern by Using EEG-Informed General Linear Model
Yunyuan Gao, Biao Jia, Michael Houston, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-10
Closed Access | Times Cited: 21
Temporal Convolutional Network-Enhanced Real-Time Implicit Emotion Recognition with an Innovative Wearable fNIRS-EEG Dual-Modal System
Jiafa Chen, Kaiwei Yu, Fei Wang, et al.
Electronics (2024) Vol. 13, Iss. 7, pp. 1310-1310
Open Access | Times Cited: 7
Effects of Processing Methods on fNIRS Signals Assessed During Active Walking Tasks in Older Adults
Meltem İzzetoğlu, Roee Holtzer
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020) Vol. 28, Iss. 3, pp. 699-709
Open Access | Times Cited: 46
Functional near-infrared spectroscopy in developmental psychiatry: a review of attention deficit hyperactivity disorder
Louisa K. Gossé, Sarah W. Bell, S. M. Hadi Hosseini
European Archives of Psychiatry and Clinical Neuroscience (2021) Vol. 272, Iss. 2, pp. 273-290
Open Access | Times Cited: 35
Diagnostic machine learning applications on clinical populations using functional near infrared spectroscopy: a review
Aykut Eken, Farhad Nassehi, Osman Eroğul
Reviews in the Neurosciences (2024) Vol. 35, Iss. 4, pp. 421-449
Open Access | Times Cited: 6
Real time detection of cognitive load using fNIRS: A deep learning approach
Subashis Karmakar, Supreeti Kamilya, Prasenjit Dey, et al.
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104227-104227
Closed Access | Times Cited: 20
The utility of wearable electroencephalography combined with behavioral measures to establish a practical multi-domain model for facilitating the diagnosis of young children with attention-deficit/hyperactivity disorder
I‐Chun Chen, Che‐Lun Chang, Menghan Chang, et al.
Journal of Neurodevelopmental Disorders (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 4
Neurophysiological markers of ADHD symptoms in typically-developing children
Kirsten Hilger, Jona Sassenhagen, Jan Kühnhausen, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 32
Machine Learning-Based Heavy Metal Ion Detection Using Surface-Enhanced Raman Spectroscopy
Seongyong Park, Jaeseok Lee, Shujaat Khan, et al.
Sensors (2022) Vol. 22, Iss. 2, pp. 596-596
Open Access | Times Cited: 17
Making Data Secure in Detecting ADHD with Supervised Learning
Deepak Kumar Khandelwal, Mahesh Chandra Govil
Lecture notes in networks and systems (2025), pp. 233-246
Closed Access
A systematic literature review of machine learning techniques for the detection of attention-deficit/hyperactivity disorder using MRI and/or EEG data
Dhruv Chandra Lohani, Vaishali Chawla, Bharti Rana
Neuroscience (2025)
Closed Access
Identifying ADHD boys by very-low frequency prefrontal fNIRS fluctuations during a rhythmic mental arithmetic task
Sergio Ortuño-Miró, Sergio Molina‐Rodríguez, Carlos Belmonte, et al.
Journal of Neural Engineering (2023) Vol. 20, Iss. 3, pp. 036018-036018
Open Access | Times Cited: 8
A Systematic Review on Feature Extraction in Electroencephalography-Based Diagnostics and Therapy in Attention Deficit Hyperactivity Disorder
Pasquale Arpaïa, Attilio Covino, Loredana Cristaldi, et al.
Sensors (2022) Vol. 22, Iss. 13, pp. 4934-4934
Open Access | Times Cited: 12
PLS-DA Model for the Evaluation of Attention Deficit and Hyperactivity Disorder in Children and Adolescents through Blood Serum FTIR Spectra
Gülce Öğrüç Ildız, Ahmet Karadağ, Ersin Kaygısız, et al.
Molecules (2021) Vol. 26, Iss. 11, pp. 3400-3400
Open Access | Times Cited: 13
Deep Learning Based Walking Tasks Classification in Older Adults Using fNIRS
Dongning Ma, Meltem İzzetoğlu, Roee Holtzer, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 3437-3447
Open Access | Times Cited: 5
The Hybrid Deep Learning Model for Identification of Attention-Deficit/Hyperactivity Disorder Using EEG
Nupur Chugh, Swati Aggarwal, Arnav Balyan
Clinical EEG and Neuroscience (2023) Vol. 55, Iss. 1, pp. 22-33
Closed Access | Times Cited: 5
EEG-Based classification of branded and unbranded stimuli associating with smartphone products: comparison of several machine learning algorithms
Abdurrahman Özbeyaz
Neural Computing and Applications (2021) Vol. 33, Iss. 9, pp. 4579-4593
Closed Access | Times Cited: 11
LSGP-USFNet: Automated Attention Deficit Hyperactivity Disorder Detection Using Locations of Sophie Germain’s Primes on Ulam’s Spiral-Based Features with Electroencephalogram Signals
Orhan Atıla, Erkan Deniz, Ali Arı, et al.
Sensors (2023) Vol. 23, Iss. 16, pp. 7032-7032
Open Access | Times Cited: 4
Multimodal Analysis of Cortical Activation in Young Male Adults with Internet Gaming Disorder: A Resting State EEG-fNIRS Study
Miray Altınkaynak, Demet Yeşilbaş, Turgay Batbat, et al.
Journal of Psychiatric Research (2024) Vol. 177, pp. 368-377
Closed Access | Times Cited: 1
Neuromonitoring Guided working memory intervention in children with ADHD
Ali Rahimpour Jounghani, Elveda Gozdas, Lauren Dacorro, et al.
iScience (2024) Vol. 27, Iss. 11, pp. 111087-111087
Open Access | Times Cited: 1
Strategic Integration: A Cross-Disciplinary Review of the fNIRS-EEG Dual-Modality Imaging System for Delivering Multimodal Neuroimaging to Applications
Jiafa Chen, Kaiwei Yu, Yifei Bi, et al.
Brain Sciences (2024) Vol. 14, Iss. 10, pp. 1022-1022
Open Access | Times Cited: 1
RETRACTED ARTICLE: Application of music in relief of driving fatigue based on EEG signals
Qingjun Wang, Zhendong Mu
EURASIP Journal on Advances in Signal Processing (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 9
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