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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:

Interpretable Seizure Classification Using Unprocessed EEG With Multi-Channel Attentive Feature Fusion
Darshana Priyasad, Tharindu Fernando, Simon Denman, et al.
IEEE Sensors Journal (2021) Vol. 21, Iss. 17, pp. 19186-19197
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Supervised Machine Learning and Deep Learning Techniques for Epileptic Seizure Recognition Using EEG Signals—A Systematic Literature Review
Mohamed Sami Nafea, Zool Hilmi Ismail
Bioengineering (2022) Vol. 9, Iss. 12, pp. 781-781
Open Access | Times Cited: 39
Optimization of epilepsy detection method based on dynamic EEG channel screening
Yuebin Song, Chunling Fan, Xiaoqian Mao
Neural Networks (2024) Vol. 172, pp. 106119-106119
Closed Access | Times Cited: 10
Affect recognition from scalp-EEG using channel-wise encoder networks coupled with geometric deep learning and multi-channel feature fusion
Darshana Priyasad, Tharindu Fernando, Simon Denman, et al.
Knowledge-Based Systems (2022) Vol. 250, pp. 109038-109038
Closed Access | Times Cited: 29
MP-SeizNet: A multi-path CNN Bi-LSTM Network for seizure-type classification using EEG
Hezam Albaqami, Ghulam Mubashar Hassan, Amitava Datta
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104780-104780
Open Access | Times Cited: 16
Cosine convolutional neural network and its application for seizure detection
Guoyang Liu, Tian Lan, Yiming Wen, et al.
Neural Networks (2024) Vol. 174, pp. 106267-106267
Closed Access | Times Cited: 7
Machine Learning Algorithms for Epilepsy Detection Based on Published EEG Databases: A Systematic Review
Ανδρέας Μιλτιάδους, Katerina D. Tzimourta, Νικόλαος Γιαννακέας, et al.
IEEE Access (2022) Vol. 11, pp. 564-594
Open Access | Times Cited: 25
Epileptic multi-seizure type classification using electroencephalogram signals from the Temple University Hospital Seizure Corpus: A review
Niamh McCallan, Scot Davidson, Kok Yew Ng, et al.
Expert Systems with Applications (2023) Vol. 234, pp. 121040-121040
Open Access | Times Cited: 13
Automatic Detection and Classification of Epileptic Seizures from EEG Data: Finding Optimal Acquisition Settings and Testing Interpretable Machine Learning Approach
Yauhen Statsenko, Vladimir Babushkin, Tatsiana Talako, et al.
Biomedicines (2023) Vol. 11, Iss. 9, pp. 2370-2370
Open Access | Times Cited: 9
Software advancements in automatic epilepsy diagnosis and seizure detection: 10-year review
Palak Handa, Lavanya Lavanya, Nidhi Goel, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 7
Open Access | Times Cited: 3
EEGminer: discovering interpretable features of brain activity with learnable filters
Siegfried Ludwig, Stylianos Bakas, Dimitrios A. Adamos, et al.
Journal of Neural Engineering (2024) Vol. 21, Iss. 3, pp. 036010-036010
Open Access | Times Cited: 2
A review on software and hardware developments in automatic epilepsy diagnosis using EEG datasets
Palak Handa, Esha Gupta, Syed Aneesha Muskan, et al.
Expert Systems (2023) Vol. 40, Iss. 9
Closed Access | Times Cited: 6
Time and frequency domain pre-processing for epileptic seizure classification of epileptic EEG signals
Kusumika Krori Dutta, Premila Manohar, K. Indira
Journal of Intelligent & Fuzzy Systems (2023) Vol. 45, Iss. 5, pp. 8217-8226
Closed Access | Times Cited: 5
Attention-based deep convolutional neural network for classification of generalized and focal epileptic seizures
Taimur Shahzad Gill, Syed Sajjad Haider Zaidi, Muhammad Ayaz Shirazi
Epilepsy & Behavior (2024) Vol. 155, pp. 109732-109732
Closed Access | Times Cited: 1
SMARTSeiz: Deep Learning With Attention Mechanism for Accurate Seizure Recognition in IoT Healthcare Devices
Kiran Kumar Patro, Allam Jaya Prakash, Jaya Prakash Sahoo, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 7, pp. 3810-3818
Closed Access | Times Cited: 3
Detecting Heart Failure Through Voice Analysis using Self-Supervised Mode-Based Memory Fusion
Darshana Priyasad, Andi Partovi, Sridha Sridharan, et al.
Interspeech 2022 (2022), pp. 2848-2852
Open Access | Times Cited: 5
Improved Artificial Bee Colony Based Feature Selection for Epileptic Seizure Detection
Hirald Dwaraka Praveena, C. Subhas, Kurukundu Rama
International journal of intelligent engineering and systems (2023) Vol. 16, Iss. 3, pp. 332-344
Open Access | Times Cited: 2
A review of automatic detection of epilepsy based on EEG signals
Qirui Ren, Xiaofan Sun, Xiangqu Fu, et al.
Journal of Semiconductors (2023) Vol. 44, Iss. 12, pp. 121401-121401
Closed Access | Times Cited: 2
A Domain Adaption Approach for EEG-Based Automated Seizure Classification with Temporal-Spatial-Spectral Attention
Xiaoya Fan, Pengzhi Xu, Qi Zhao, et al.
Lecture notes in computer science (2024), pp. 14-24
Closed Access
Seizure Types Classification Based on Multi-branch Hybrid Deep Learning Network
Qingwei Jia, Jin‐Xing Liu, Junling Shang, et al.
Lecture notes in computer science (2024), pp. 462-474
Closed Access
Automated Multi-class Seizure-type Classification System using EEG Signals and Machine Learning Algorithms
S. Abirami, Tikaram Tikaram, M. Kathiravan, et al.
IEEE Access (2024) Vol. 12, pp. 136524-136541
Open Access
Seven Epileptic Seizure Type Classification in Pre-Ictal, Ictal and Inter-Ictal Stages using Machine Learning Techniques
Kusumika Krori Dutta, K. Indira, Falak Naaz, et al.
Advances in Machine Learning & Artificial Intelligence (2023) Vol. 4, Iss. 1
Open Access | Times Cited: 1
Seven Epileptic Seizure Type Classification in Pre-Ictal, Ictal and Inter-Ictal Stages Using Machine Learning Techniques
Kusumika Krori Dutta, Premila Manohar, K Indira, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 2
Deep Learning with Spatial and Channel Attention for Epileptic Seizure Type Classification Using Frequency Characterization
Hrishikesh Tiwary, Piyus Rout, Arnav Bhavsar
(2022), pp. 1-6
Closed Access | Times Cited: 2

Kusumika Krori Dutta, K Indira, Falak Naaz, et al.
Advances in Machine Learning & Artificial Intelligence (2023) Vol. 4, Iss. 1
Open Access
Improving information fusion in deep learning
Darshana Priyasad Madduma Kankanamalage Don
(2023)
Open Access
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