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:

Neural-fuzzy with representative sets for prediction of student performance
Lê Hoàng Sơn, Hamido Fujita
Applied Intelligence (2018) Vol. 49, Iss. 1, pp. 172-187
Open Access | Times Cited: 75

Showing 1-25 of 75 citing articles:

Fuzzy Logic based Smart Irrigation System using Internet of Things
R. Santhana Krishnan, E. Golden Julie, Harold Robinson, et al.
Journal of Cleaner Production (2019) Vol. 252, pp. 119902-119902
Closed Access | Times Cited: 212
Sarcasm Detection Using Soft Attention-Based Bidirectional Long Short-Term Memory Model With Convolution Network
Lê Hoàng Sơn, Akshi Kumar, Saurabh Raj Sangwan, et al.
IEEE Access (2019) Vol. 7, pp. 23319-23328
Open Access | Times Cited: 183
Real-time water quality monitoring using Internet of Things in SCADA
K. Saravanan, E. Anusuya, Raghvendra Kumar, et al.
Environmental Monitoring and Assessment (2018) Vol. 190, Iss. 9
Closed Access | Times Cited: 168
A Novel and Comprehensive Trust Estimation Clustering Based Approach for Large Scale Wireless Sensor Networks
Tayyab Khan, Karan Singh, Lê Hoàng Sơn, et al.
IEEE Access (2019) Vol. 7, pp. 58221-58240
Open Access | Times Cited: 114
A new fusion of salp swarm with sine cosine for optimization of non-linear functions
Narinder Singh, Lê Hoàng Sơn, Francisco Chiclana, et al.
Engineering With Computers (2019) Vol. 36, Iss. 1, pp. 185-212
Open Access | Times Cited: 92
Toward Predicting Student’s Academic Performance Using Artificial Neural Networks (ANNs)
Yahia Baashar, Gamal Alkawsi, Abdulsalam Salihu Mustafa, et al.
Applied Sciences (2022) Vol. 12, Iss. 3, pp. 1289-1289
Open Access | Times Cited: 59
Enhanced binary genetic algorithm as a feature selection to predict student performance
Salam Salameh Shreem, Hamza Turabieh, Sana Al Azwari, et al.
Soft Computing (2022) Vol. 26, Iss. 4, pp. 1811-1823
Closed Access | Times Cited: 41
Analysis of machine learning strategies for prediction of passing undergraduate admission test
Md. Abul Ala Walid, S.M. Masum Ahmed, Mohammad Zeyad, et al.
International Journal of Information Management Data Insights (2022) Vol. 2, Iss. 2, pp. 100111-100111
Open Access | Times Cited: 38
An automatic prediction of students’ performance to support the university education system: a deep learning approach
Yazn Alshamaila, Hamad Alsawalqah, Ibrahim Aljarah, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 10
Prediction of Air Pollution Index in Kuala Lumpur using fuzzy time series and statistical models
Jian Wei Koo, Shin Wee Wong, Ganeshsree Selvachandran, et al.
Air Quality Atmosphere & Health (2019) Vol. 13, Iss. 1, pp. 77-88
Closed Access | Times Cited: 70
Neutrosophic image segmentation with Dice Coefficients
Sudan Jha, Lê Hoàng Sơn, Raghvendra Kumar, et al.
Measurement (2018) Vol. 134, pp. 762-772
Closed Access | Times Cited: 66
Multi-Attribute Multi-Perception Decision-Making Based on Generalized T-Spherical Fuzzy Weighted Aggregation Operators on Neutrosophic Sets
Shio Gai Quek, Ganeshsree Selvachandran, Muhammad Munir, et al.
Mathematics (2019) Vol. 7, Iss. 9, pp. 780-780
Open Access | Times Cited: 62
Probability-based cluster head selection and fuzzy multipath routing for prolonging lifetime of wireless sensor networks
Harold Robinson, E. Golden Julie, Raghvendra Kumar, et al.
Peer-to-Peer Networking and Applications (2019) Vol. 12, Iss. 5, pp. 1061-1075
Closed Access | Times Cited: 58
Predictive analytics in education: machine learning approaches and performance metrics for student success – a systematic literature review
T K Shoukath, Midhunchakkaravarthy Janarthanan
Data & Metadata (2025) Vol. 4, pp. 730-730
Closed Access
Evaluation of postgraduate academic performance using artificial intelligence models
Yahia Baashar, Yaman Hamed, Gamal Alkawsi, et al.
Alexandria Engineering Journal (2022) Vol. 61, Iss. 12, pp. 9867-9878
Open Access | Times Cited: 25
Dynamic interval valued neutrosophic set: Modeling decision making in dynamic environments
Nguyen Tho Thong, Luu Quoc Dat, Lê Hoàng Sơn, et al.
Computers in Industry (2019) Vol. 108, pp. 45-52
Closed Access | Times Cited: 39
Hybrid Machine Learning Classifiers to Predict Student Performance
Hamza Turabieh
(2019), pp. 1-6
Closed Access | Times Cited: 37
Contributions of Machine Learning Models towards Student Academic Performance Prediction: A Systematic Review
Prasanalakshmi Balaji, Salem Alelyani, Ayman Qahmash, et al.
Applied Sciences (2021) Vol. 11, Iss. 21, pp. 10007-10007
Open Access | Times Cited: 31
Data Mining for Student Performance Prediction in Education
Ferda Ünal
IntechOpen eBooks (2020)
Open Access | Times Cited: 30
Predicting academic performance of students in Chinese-foreign cooperation in running schools with graph convolutional network
Haitao Pu, Mingqu Fan, Hongbin Zhang, et al.
Neural Computing and Applications (2020) Vol. 33, Iss. 2, pp. 637-645
Closed Access | Times Cited: 29
Forecasting mortality rates using hybrid Lee–Carter model, artificial neural network and random forest
Wei Hong, Jia Hui Yap, Ganeshsree Selvachandran, et al.
Complex & Intelligent Systems (2020) Vol. 7, Iss. 1, pp. 163-189
Open Access | Times Cited: 28
Enhancement of Predicting Students Performance Model Using Ensemble Approaches and Educational Data Mining Techniques
Mahmoud Ragab, Ahmed M.K. Abdel Aal, Ali O. Jifri, et al.
Wireless Communications and Mobile Computing (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 26
Towards granular calculus of single-valued neutrosophic functions under granular computing
Nguyen Thi Kim Son, Nguyen Phuong Dong, Lê Hoàng Sơn, et al.
Multimedia Tools and Applications (2019) Vol. 79, Iss. 23-24, pp. 16845-16881
Closed Access | Times Cited: 26
Potential Future Directions in Optimization of Students’ Performance Prediction System
Sadique Ahmad, Mohammed ElAffendi, Muhammad Shahid Anwar, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-26
Open Access | Times Cited: 15
Novel probabilistic resource migration algorithm for cross-cloud live migration of virtual machines in public cloud
Souvik Pal, Raghvendra Kumar, Lê Hoàng Sơn, et al.
The Journal of Supercomputing (2019) Vol. 75, Iss. 9, pp. 5848-5865
Closed Access | Times Cited: 25
Page 1 - Next Page

Scroll to top