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 26-50 of 42 citing articles:

Bimodal EEG-fNIRS in Neuroergonomics. Current Evidence and Prospects for Future Research
Nicolas Bourguignon, Salvatore Lo Bue, Carlos Guerrero-Mosquera, et al.
Frontiers in Neuroergonomics (2022) Vol. 3
Open Access | Times Cited: 6

Forecasting Unplanned Purchase Behavior under Buy-One Get-One-Free Promotions Using Functional Near-Infrared Spectroscopy
SuJin Bak, Minsun Yeu, Jichai Jeong
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 5

A Deep Learning Approach to Imputation of Dynamic Pupil Size Data and Prediction of ADHD
Seongyune Choi, Yeonju Jang, Hyeoncheol Kim
International Journal of Artificial Intelligence Tools (2022) Vol. 32, Iss. 06
Closed Access | Times Cited: 4

Superstorm Sandy exposure in utero is associated with neurobehavioral phenotypes and brain structure alterations in childhood: A machine learning approach
Gozde M. Demirci, Donato DeIngeniis, Wai Man Wong, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 1

Diagnostic Machine Learning Applications on Clinical Populations using Functional Near Infrared Spectroscopy: A Review
Aykut Eken, Farhad Nassehi, Osman Eroğul
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1

A Comprehensive Survey on Rehabilitative Applications of Electroencephalogram in Healthcare
Pritam Chatterjee, Ahona Ghosh, Sriparna Saha
Advances in medical diagnosis, treatment, and care (AMDTC) book series (2023), pp. 13-43
Closed Access | Times Cited: 1

Attention deficit hyperactivity disorder (ADHD) detection for IoT based EEG signal
J. Aarthy Suganthi Kani, S. Immanuel Alex Pandian, J. Anitha, et al.
Computer Methods in Biomechanics & Biomedical Engineering (2024), pp. 1-19
Closed Access

A Study on the Assessment of Drug Addiction Level of Bimodal Eeg-Nirs Based on Tsnet
Xiaowen Zhang, Xuelin Gu, Xiaoou Li
(2024), pp. 258-264
Closed Access

Attention Deficit/Hyperactivity Disorder (ADHD) and the Application of Functional Near-Infrared Spectroscopy (fNIRS) Measures
Armando dos Santos Afonso, Walter Machado-Pinheiro, Ana Osório, et al.
(2024), pp. 1-24
Closed Access

Neural Sociometrics: Toward Early Screening of Infant Psychosocial and Brain Health to Improve Lifelong Mental Well-Being
Victoria Leong
Policy Insights from the Behavioral and Brain Sciences (2022) Vol. 9, Iss. 1, pp. 111-119
Closed Access | Times Cited: 2

Overview of Machine Learning Approaches Applied in Disease Profiling
Ricardo Buettner, Tarik Kuri, Andreas Feist, et al.
(2020), pp. 1-5
Closed Access | Times Cited: 2

Progress on Hybrid EEG-fNIRs system and its application
Yiyang Duan, Xiangyue Liu, Yuan Lian
(2021), pp. 1-6
Closed Access | Times Cited: 2

BEYİN BİLGİSAYAR ARAYÜZÜNÜN GELİŞTİRİLMESİ İÇİN HAYALİ MOTOR GÖRÜNTÜ TABANLI YAKIN KIZILÖTESİ SPEKTROSKOPİ SİNYALLERİNİN SINIFLANDIRILMASI
Merve KOÇYİĞİT, Ayşegül Güven, Furkan Çam
Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi (2020)
Open Access | Times Cited: 1

Exploring the neural representation patterns in event-related EEG/MEG signals: The methods based on classification decoding and representation similarity analysis
人 们能够更好地识别与分类特定大脑认知加工活动, 对应的神经表征 Cox, Kamitani, et al.
Advances in Psychological Science (2022) Vol. 31, Iss. 2, pp. 173-173
Open Access

Machine Learning-based Classification of Active Walking Tasks in Older Adults using fNIRS.
Dongning Ma, Meltem İzzetoğlu, Roee Holtzer, et al.
arXiv (Cornell University) (2021)
Closed Access

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