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:

Towards adequate prediction of prediabetes using spatiotemporal ECG and EEG feature analysis and weight-based multi-model approach
Tobore Igbe, Abhishek Kandwal, Jingzhen Li, et al.
Knowledge-Based Systems (2020) Vol. 209, pp. 106464-106464
Closed Access | Times Cited: 24

Showing 24 citing articles:

Effect of Color Temperature and Illuminance on Psychology, Physiology, and Productivity: An Experimental Study
Ruijun Chen, Meng-Chun Tsai, Yaw-Shyan Tsay
Energies (2022) Vol. 15, Iss. 12, pp. 4477-4477
Open Access | Times Cited: 36

Systematic Review on Machine-Learning Algorithms Used in Wearable-Based eHealth Data Analysis
Aditi Site, Jari Nurmi, Elena Simona Lohan
IEEE Access (2021) Vol. 9, pp. 112221-112235
Open Access | Times Cited: 36

Flexible Surface Plasmon Based Coupled Triple Band UHF-Microwave Sensor for Glucose Sensing Application
Abhishek Kandwal, Rohit Jasrotia, Suresh Kumar, et al.
Sensors and Actuators A Physical (2024) Vol. 379, pp. 115864-115864
Closed Access | Times Cited: 4

Multi-Scale Feature Fusion Model for Real-Time Blood Glucose Monitoring and hyperglycemia Prediction Based on Wearable Devices
Yang Song, Ziyu Yuan, Yuxin Wu
Medical Engineering & Physics (2025) Vol. 138, pp. 104312-104312
Closed Access

Deep Learning-Based Data Augmentation and Model Fusion for Automatic Arrhythmia Identification and Classification Algorithms
Shuai Ma, Jianfeng Cui, Weidong Xiao, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-17
Open Access | Times Cited: 19

A Machine-Learning-Based Analysis of the Relationships between Loneliness Metrics and Mobility Patterns for Elderly
Aditi Site, Saigopal Vasudevan, Samuel Olaiya Afolaranmi, et al.
Sensors (2022) Vol. 22, Iss. 13, pp. 4946-4946
Open Access | Times Cited: 16

Machine-Learning-Based Diabetes Prediction Using Multisensor Data
Aditi Site, Jari Nurmi, Elena Simona Lohan
IEEE Sensors Journal (2023) Vol. 23, Iss. 22, pp. 28370-28377
Open Access | Times Cited: 7

Fusing YOLOv5s-MediaPipe-HRV to Classify Engagement in E-learning: from the Perspective of External Observations and Internal Factors
Jie Wang, S. S. Jenny Yuan, Tuantuan Lu, et al.
Knowledge-Based Systems (2024), pp. 112670-112670
Closed Access | Times Cited: 2

Exploring EEG Signals for Noninvasive Blood Glucose Monitoring in Prediabetes Diagnosis
Tobore Igbe, Abhishek Kandwal, Jingzhen Li, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-8
Closed Access | Times Cited: 1

Towards noninvasive and fast detection of Glycated hemoglobin levels based on ECG using convolutional neural networks with multisegments fusion and Varied-weight
Jingzhen Li, Jingyi Lu, Tobore Igbe, et al.
Expert Systems with Applications (2021) Vol. 186, pp. 115846-115846
Closed Access | Times Cited: 9

A dual-attention based coupling network for diabetes classification with heterogeneous data
Lei Wang, Zhenglin Pan, Wei Liu, et al.
Journal of Biomedical Informatics (2023) Vol. 139, pp. 104300-104300
Open Access | Times Cited: 3

Modeling and analysis of cardioimpedance signals using polynomial models and fuzzy rule-based models
Dan Wang, Xiubin Zhu, Witold Pedrycz, et al.
Applied Soft Computing (2023) Vol. 144, pp. 110482-110482
Closed Access | Times Cited: 3

Inspection of EEG Signals for Noninvasive Blood Glucose Monitoring in Prediabetes Diagnosis
Tobore Igbe, Oluwarotimi Williams Samuel, Jingzhen Li, et al.
2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (2023) Vol. 64, pp. 1-5
Closed Access | Times Cited: 2

Automated Detection of Arrhythmia for Hybrid Neural Network of LSTM-Residual with Multi-Information Fusion
Liang Tao, Baoning Liu, Wei Liang
Mathematical Problems in Engineering (2021) Vol. 2021, pp. 1-9
Open Access | Times Cited: 5

An absolute magnitude deviation of HRV for the prediction of prediabetes with combined artificial neural network and regression tree methods
Tobore Igbe, Jingzhen Li, Abhishek Kandwal, et al.
Artificial Intelligence Review (2021) Vol. 55, Iss. 3, pp. 2221-2244
Closed Access | Times Cited: 5

Optimized Neural Networks for Diabetes Classification Using Pima Indians Diabetes Database
Ahmed F. Ashour, Mostafa M. Fouda, Zubair Md. Fadlullah, et al.
(2024), pp. 1-7
Closed Access

Enhancing Diabetes Prediction Based on Pair-Wise Ensemble Learning Model Selection
Ahmed F. Ashour, Mostafa M. Fouda, Zubair Md. Fadlullah, et al.
(2024), pp. 1-6
Closed Access

Generating method and application of basic probability assignment based on interval number distance and model reliability
Junwei Li, Baolin Xie, Yong Jin, et al.
Soft Computing (2023) Vol. 28, Iss. 3, pp. 2353-2365
Closed Access | Times Cited: 1

Effects of the Spatial Structure Conditions of Urban Underpass Tunnels’ Longitudinal Section on Drivers’ Physiological and Behavioral Comfort
Zhongxiang Feng, Miaomiao Yang, Yingjie Du, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 20, pp. 10992-10992
Open Access | Times Cited: 3

Effects of agro-sensor time series approximation on plant stress detection: an experimental study
Marcos A. Oliveira Júnior, Gregory Sedrez, Anderson Monteiro, et al.
(2021), pp. 99-107
Open Access | Times Cited: 3

Identification of pivotal nutritional factors to reduce risk of prediabetes by machine learning
Ke Ni
Theoretical and Natural Science (2023) Vol. 24, Iss. 1, pp. 186-196
Open Access

Generating method and application of basic probability assignment based on interval number distance and model reliability
Junwei Li, Baolin Xie, Yong Jin, et al.
Research Square (Research Square) (2022)
Closed Access

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