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:

Detection and classification of anxiety in university students through the application of machine learning
Shaurya Bhatnagar, Jyoti Agarwal, Ojasvi Rajeev Sharma
Procedia Computer Science (2023) Vol. 218, pp. 1542-1550
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

A Comprehensive Review of Psychosocial, Academic, and Psychological Issues Faced by University Students in India
Mubashir Gull, Navneet Kaur, Wael M. F. Abuhasan, et al.
Annals of Neurosciences (2025)
Open Access | Times Cited: 3

Stacking ensemble learning model for predict anxiety level in university students using balancing methods
Alfredo Daza Vergaray, Antonio Arroyo-Paz, Juana Bobadilla Cornelio, et al.
Informatics in Medicine Unlocked (2023) Vol. 42, pp. 101340-101340
Open Access | Times Cited: 16

Mental disorder preventing by worry levels detection in social media using deep learning based on psycho-linguistic features: application on the COVID-19 lockdown period
Fethi Fkih, Delel Rhouma, Tahani Alharbi
Computers in Biology and Medicine (2025) Vol. 191, pp. 110162-110162
Closed Access

Systematic review of machine learning techniques to predict anxiety and stress in college students
Alfredo Daza Vergaray, Nemías Saboya, Jorge Isaac Necochea-Chamorro, et al.
Informatics in Medicine Unlocked (2023) Vol. 43, pp. 101391-101391
Open Access | Times Cited: 6

Automated mood disorder symptoms monitoring from multivariate time-series sensory data: Getting the full picture beyond a single number
Filippo Corponi, Bryan M. Li, Gerard Anmella, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 5

Anxiety Prediction and Analysis- A Machine Learning Based Approach
Sheikh Afaan Farooq, Ojasri Konda, Anshul Kunwar, et al.
(2023), pp. 1-7
Closed Access | Times Cited: 4

Intelligent System for Assessing University Student Personality Development and Career Readiness
Assylzhan Izbassar, Muragul Muratbekova, Daniyar Amangeldi, et al.
Procedia Computer Science (2024) Vol. 231, pp. 779-785
Open Access | Times Cited: 1

Revolutionizing Generalized Anxiety Disorder Detection using a Deep Learning Approach with MGADHF Architecture on Social Media
Faisal Alshanketi
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 1

Predictive Modeling of Anxiety Levels in Bangladeshi University Students: A Voting-Based Approach with LIME and SHAP Explanations
Mohammad Tanvirul Islam, Kahakashan Ashraf, Md.Hamid Hosen, et al.
(2024), pp. 01-06
Closed Access | Times Cited: 1

Anxiety in young people: Analysis from a machine learning model
Marcela Tabares Tabares, Consuelo Vélez Álvarez, Joshua Bernal Salcedo, et al.
Acta Psychologica (2024) Vol. 248, pp. 104410-104410
Open Access | Times Cited: 1

How machine learning algorithms can examine patterns in multiple substance addictions: predicting the effects and interactions of psychoactive substances
Wafia Abada, Abdelkrim Bouramoul, Moustafa Sadek Kahil
International Journal of Computers and Applications (2024), pp. 1-11
Closed Access | Times Cited: 1

Unlocking Academic Success
A. N. Raghavendra, D. Halaswamy, G. Vijayakumar, et al.
Advances in human resources management and organizational development book series (2024), pp. 207-230
Closed Access | Times Cited: 1

SentiSync: A Robust System for Sentiment Detection and Analyzing the Mental Health Care with ML-Driven Algorithms
B U Sinchana, Thanushree G Hiremath, H Priyanka
International Journal of Advanced Research in Science Communication and Technology (2024), pp. 151-157
Open Access

EmoSupport: A Comparative Study for the Analysis of Mental Health of Undergraduate Students
Pratham Kashyap, Anmol Jaiswal, Anushka Naithani, et al.
(2024), pp. 470-481
Closed Access

Anxiety in Young People: Analysis from a Machine Learning Model
Marcela Tabares Tabares, Consuelo Vélez Álvarez, Joshua Bernal Salcedo, et al.
(2024)
Closed Access

Classification Model for the Detection of Anxiety in University Students: A Case Study at UNMSM
Bryan Vera-Leon, Laura Gozme-Avila, Yudi Guzmán-Monteza
Lecture notes in networks and systems (2024), pp. 182-190
Closed Access

A Comparative Analysis of Machine Learning Algorithms with Bagging and Boosting for Mental Health Assessment
Ravita Chahar, Ashutosh Kumar Dubey, Sushil Kumar Narang
International Journal of Electronics and Communication Engineering (2024) Vol. 11, Iss. 6, pp. 20-39
Open Access

An ensemble technique to predict mental illness using data mining techniques
B Divya, SELVI R. THIRUMALAI
i-manager's Journal on Data Science & Big Data Analytics (JDS). (2024) Vol. 2, Iss. 1, pp. 14-14
Closed Access

SISTEM KLASIFIKASI UNTUK MENENTUKAN TINGKAT STRESS MAHASISWA SECARA UMUM MENGGUNAKAN METODE K-NEAREST NEIGHBORS
Sopwatun Anisa, Agus Komarudin, Edvin Ramadhan
Jurnal Informatika Teknologi dan Sains (Jinteks) (2024) Vol. 6, Iss. 3, pp. 568-578
Open Access

Exploring Predictive Models for Stress Detection: A Machine Learning Approach
V Kalai Vani, G. Fathima
(2024) Vol. 21, pp. 477-483
Closed Access

Identifying Language Anxiety Among Foreign Language Learners Using GRU
Muhammad Sya'bani Falif, Kemas Muslim Lhaksmana, Moch Arif Bijaksana, et al.
(2024), pp. 315-320
Closed Access

AnxPred: A Hybrid CNN-SVM Model with XAI to Predict Anxiety among University Students
Md. Rajaul Karim, M. M. Mahbubul Syeed, Kaniz Fatema, et al.
(2024), pp. 132-137
Closed Access

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