Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Alcoholic EEG signal classification with Correlation Dimension based distance metrics approach and Modified Adaboost classification
Sunil Kumar Prabhakar, Harikumar Rajaguru
Heliyon (2020) Vol. 6, Iss. 12, pp. e05689-e05689
Open Access | Times Cited: 25

Showing 25 citing articles:

Machine learning with neuroimaging biomarkers: Application in the diagnosis and prediction of drug addiction
Longtao Yang, Yanyao Du, Wenhan Yang, et al.
Addiction Biology (2023) Vol. 28, Iss. 2
Closed Access | Times Cited: 21
Evaluation of Risk of Bias in Neuroimaging-Based Artificial Intelligence Models for Psychiatric Diagnosis
Zhiyi Chen, Xuerong Liu, Qingwu Yang, et al.
JAMA Network Open (2023) Vol. 6, Iss. 3, pp. e231671-e231671
Open Access | Times Cited: 19
Sampling inequalities affect generalization of neuroimaging-based diagnostic classifiers in psychiatry
Zhiyi Chen, Bowen Hu, Xuerong Liu, et al.
BMC Medicine (2023) Vol. 21, Iss. 1
Open Access | Times Cited: 17
Classification of cardiac diseases from ECG signals through bio inspired classifiers with Adam and R-Adam approaches for hyperparameters updation
M. Gowri Shankar, C. Ganesh Babu, Harikumar Rajaguru
Measurement (2022) Vol. 194, pp. 111048-111048
Closed Access | Times Cited: 17
Exploration and Enhancement of Classifiers in the Detection of Lung Cancer from Histopathological Images
S. Karthikeyan, Harikumar Rajaguru
Diagnostics (2023) Vol. 13, Iss. 20, pp. 3289-3289
Open Access | Times Cited: 9
Detection of Alcoholic EEG signal using LASSO regression with metaheuristics algorithms based LSTM and enhanced artificial neural network classification algorithms
Gowri Shankar M, Kalaiyarasi Mani, Harikumar Rajaguru, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
ENIC: Ensemble and Nature Inclined Classification with Sparse Depiction based Deep and Transfer Learning for Biosignal Classification
Sunil Kumar Prabhakar, Seong‐Whan Lee
Applied Soft Computing (2022) Vol. 117, pp. 108416-108416
Closed Access | Times Cited: 11
Recognition of the scale-free interval for calculating the correlation dimension using machine learning from chaotic time series
Shuang Zhou, Xingyuan Wang, Wenjie Zhou, et al.
Physica A Statistical Mechanics and its Applications (2021) Vol. 588, pp. 126563-126563
Closed Access | Times Cited: 15
Performance Analysis of Ovarian Cancer Detection and Classification for Microarray Gene Data
M. Kalaiyarasi, Harikumar Rajaguru
BioMed Research International (2022) Vol. 2022, pp. 1-16
Open Access | Times Cited: 10
An efficient skin cancer detection and classification using Improved Adaboost Aphid–Ant Mutualism model
G. Renith, A. Senthilselvi
International Journal of Imaging Systems and Technology (2023) Vol. 33, Iss. 6, pp. 1957-1972
Closed Access | Times Cited: 5
Analysis of single channel electroencephalographic signals for visual creativity: A pilot study
Gopika Gopan K, S. V. R. Aditya Reddy, Madhav Rao, et al.
Biomedical Signal Processing and Control (2022) Vol. 75, pp. 103542-103542
Closed Access | Times Cited: 8
A Holistic Strategy for Classification of Sleep Stages with EEG
Sunil Kumar Prabhakar, Harikumar Rajaguru, Semin Ryu, et al.
Sensors (2022) Vol. 22, Iss. 9, pp. 3557-3557
Open Access | Times Cited: 7
Exploration and Enhancement of Classifiers in the Detection of Lung Cancer from Histopathological Images
S. Karthikeyan, Harikumar Rajaguru
(2023)
Open Access | Times Cited: 3
Separable expansions for covariance estimation via the partial inner product
Tomáš Masák, Soham Sarkar, Victor M. Panaretos
Biometrika (2022) Vol. 110, Iss. 1, pp. 225-247
Open Access | Times Cited: 5
Alcoholic EEG Signal Classification Using Multi-Heuristic Classifiers with Stochastic Gradient Descent Technique for Tuning the Hyperparameters
Harikumar Rajaguru, A. Vigneshkumar, M. Gowri Shankar
IETE Journal of Research (2023) Vol. 69, Iss. 10, pp. 7290-7305
Closed Access | Times Cited: 2
Discrete to Continuous Algorithm for Optimal Channel Selection to Detect Alcoholism through EEG Recordings
Hayat Sedrati, Hayat Sedrati, Wajih Rhalem, et al.
Journal of Computer Science (2023) Vol. 19, Iss. 1, pp. 126-144
Open Access | Times Cited: 2
Effectiveness of the Discrete to Continuous (DtC) Algorithm in Reducing EEG Dataset Dimensionality for Alcohol Use Disorder (AUD) Diagnosis
Hayat Sedrati, Hassan Ghazal, Abdellah Yousfi
Lecture notes in networks and systems (2024), pp. 113-123
Closed Access
A Novel Weighted Visibility Graph Approach for Alcoholism Detection Through the Analysis of EEG Signals
Parnika Paranjape, Meera Dhabu, Parag Deshpande
Communications in computer and information science (2023), pp. 16-34
Closed Access | Times Cited: 1
Performance analysis of classifiers in detection of conscious state from alcoholic EEG signals
Harikumar Rajaguru, M. Gowri Shankar, S. Mohammed Irfan, et al.
AIP conference proceedings (2023) Vol. 2725, pp. 020003-020003
Open Access | Times Cited: 1
Robust Prediction of Alcoholism from EEG Signals Using Auto-Encoder
M Aarthi, Raj Sanjay Kulkarni, Chandra Kiran K, et al.
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2023)
Closed Access | Times Cited: 1
Cleo: Smart Glasses to Monitor Consumption of Alcohol and Cigarettes
Sibi Chakkaravarthy Sethuraman, Pranav Kompally, Saraju P. Mohanty, et al.
SN Computer Science (2022) Vol. 4, Iss. 1
Closed Access | Times Cited: 2
Detection and Classification of Alcoholic and Control Scalp EEG Signals using Discrete Wavelet Transform and Gradient Boosted Tree classifiers
Kusuma Kumari Korada, Hema Kumar Goru, Pravallika Medisetty, et al.
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2023)
Closed Access
Distance Metric-Based Classification Comparisons for a Brain-Computer Interface Authentication
T. Lewis, Rupal Agarwal, Marvin Andujar
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2023), pp. 4714-4719
Closed Access
Beads and Globules from Fires: Can They Be Differentiated through Metallurgical Analysis Based on Machine Learning Algorithms?
Guanning Wang, Tao Chen, Zhidong Wang, et al.
Fire (2022) Vol. 5, Iss. 4, pp. 123-123
Open Access
Identification of Post-Stroke Patients from Significant Variable Electroencephalogram Signals Using Multiple 2D-Convolutional Neural Networks
Ayu Peraiyantika, Esmeralda C. Djamal, Fatan Kasyidi
(2022), pp. 112-116
Closed Access
Page 1

Scroll to top