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:

Discrimination of the Contextual Features of Top Performers in Scientific Literacy Using a Machine Learning Approach
Jiangping Chen, Yang Zhang, Yueer Wei, et al.
Research in Science Education (2019) Vol. 51, Iss. S1, pp. 129-158
Closed Access | Times Cited: 77

Showing 1-25 of 77 citing articles:

The miRNA: a small but powerful RNA for COVID-19
Song Zhang, Kuerbannisha Amahong, Xiuna Sun, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 2, pp. 1137-1149
Open Access | Times Cited: 135
POSREG: proteomic signature discovered by simultaneously optimizing its reproducibility and generalizability
Fengcheng Li, Ying Zhou, Ying Zhang, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 2
Closed Access | Times Cited: 98
Predictors of reading performance of fourth-grade Turkish students
Kıvanç Bozkuş
Turkish Journal of Education (2025) Vol. 14, Iss. 1, pp. 1-18
Open Access | Times Cited: 1
The effects of ICT-based social media on adolescents' digital reading performance: A longitudinal study of PISA 2009, PISA 2012, PISA 2015 and PISA 2018
Jie Hu, Rushi Yu
Computers & Education (2021) Vol. 175, pp. 104342-104342
Open Access | Times Cited: 79
RNA–RNA interactions between SARS-CoV-2 and host benefit viral development and evolution during COVID-19 infection
Song Zhang, Kuerbannisha Amahong, Chenyang Zhang, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Open Access | Times Cited: 55
Profiling low-proficiency science students in the Philippines using machine learning
Allan B. I. Bernardo, Macario O. Cordel, Marissa Ortiz Calleja, et al.
Humanities and Social Sciences Communications (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 23
Enhancing E-Learning Adaptability with Automated Learning Style Identification and Sentiment Analysis: A Hybrid Deep Learning Approach for Smart Education
Tahir Hussain, Lasheng Yu, Muhammad Asim, et al.
Information (2024) Vol. 15, Iss. 5, pp. 277-277
Open Access | Times Cited: 13
A Meta-Analysis of Machine Learning-Based Science Assessments: Factors Impacting Machine-Human Score Agreements
Xiaoming Zhaı, Lehong Shi, Ross H. Nehm
Journal of Science Education and Technology (2020) Vol. 30, Iss. 3, pp. 361-379
Closed Access | Times Cited: 62
Differentiating the learning styles of college students in different disciplines in a college English blended learning setting
Jie Hu, Yi Peng, Xueliang Chen, et al.
PLoS ONE (2021) Vol. 16, Iss. 5, pp. e0251545-e0251545
Open Access | Times Cited: 51
A Systematic Review on Data Mining for Mathematics and Science Education
Dongjo Shin, Jaekwoun Shim
International Journal of Science and Mathematics Education (2020) Vol. 19, Iss. 4, pp. 639-659
Closed Access | Times Cited: 50
Mobile-assisted or paper-based? The influence of the reading medium on the reading comprehension of English as a foreign language
Yu Jie, Xing Zhou, Xiaoming Yang, et al.
Computer Assisted Language Learning (2022) Vol. 35, Iss. 1-2, pp. 217-245
Open Access | Times Cited: 36
Künstliche Intelligenz in den Naturwissenschaftsdidaktiken – gekommen, um zu bleiben: Potenziale, Desiderata, Herausforderungen
Andreas Nehring, David Buschhüter, Marcus Kubsch, et al.
Zeitschrift für Didaktik der Naturwissenschaften (2025) Vol. 31, Iss. 1
Open Access
Regression Analysis of ICT Impact Factors on Early Adolescents’ Reading Proficiency in Five High-Performing Countries
Ya Xiao, Yang Liu, Jie Hu
Frontiers in Psychology (2019) Vol. 10
Open Access | Times Cited: 52
Contrasting Profiles of Low-Performing Mathematics Students in Public and Private Schools in the Philippines: Insights from Machine Learning
Allan B. I. Bernardo, Macario O. Cordel, Minie Rose C. Lapinid, et al.
Journal of Intelligence (2022) Vol. 10, Iss. 3, pp. 61-61
Open Access | Times Cited: 24
Modeling the structural relationships among Chinese secondary school students’ computational thinking efficacy in learning AI, AI literacy, and approaches to learning AI
Xiao‐Fan Lin, Yue Zhou, Weipeng Shen, et al.
Education and Information Technologies (2023) Vol. 29, Iss. 5, pp. 6189-6215
Closed Access | Times Cited: 15
Machine Learning Approaches for Predicting U.S. Students’ Scientific Literacy: An Analysis of Key Factors Across Performance Levels and Socioeconomic Statuses
Hye Sun You, Minju Hong, Li Zhu, et al.
International Journal of Science and Mathematics Education (2025)
Closed Access
The development of ethnoscience-based e-student worksheets to enhance Students scientific literacy at Madrasah Ibtidaiyah
Rivaldi Wiratama, Eko Budi Minarno, M. Fahim Tharaba
MITRA PGMI Jurnal Kependidikan MI (2025) Vol. 11, Iss. 1, pp. 47-62
Open Access
Predictors of Reading Performance of Fourth‐Graders
Kıvanç Bozkuş
European Journal of Education (2025) Vol. 60, Iss. 2
Open Access
Assessment of Optimal Pedagogical Factors for Canadian ESL Learners’ Reading Literacy Through Artificial Intelligence Algorithms
Ya Xiao, Jie Hu
International Journal of English Linguistics (2019) Vol. 9, Iss. 4, pp. 1-1
Open Access | Times Cited: 37
Synergistic effects of instruction and affect factors on high- and low-ability disparities in elementary students’ reading literacy
Jiangping Chen, Yang Zhang, Jie Hu
Reading and Writing (2020) Vol. 34, Iss. 1, pp. 199-230
Closed Access | Times Cited: 34
Identifying key features of resilient students in digital reading: Insights from a machine learning approach
Jia‐qi Zheng, Kwok‐cheung Cheung, Pou‐seong Sit
Education and Information Technologies (2023) Vol. 29, Iss. 2, pp. 2277-2301
Closed Access | Times Cited: 11
Examining key capitals contributing to students' science‐related career expectations and their relationship patterns: A machine learning approach
Lihua Tan, Fu Chen, Bing Wei
Journal of Research in Science Teaching (2024)
Open Access | Times Cited: 3
An Exploration of Impact Factors Influencing Students’ Reading Literacy in Singapore with Machine Learning Approaches
Xin Dong, Jie Hu
International Journal of English Linguistics (2019) Vol. 9, Iss. 5, pp. 52-52
Open Access | Times Cited: 33
Discovery of the key contextual factors relevant to the reading performance of elementary school students from 61 countries/regions: insight from a machine learning-based approach
Jie Hu, Xin Dong, Yi Peng
Reading and Writing (2021) Vol. 35, Iss. 1, pp. 93-127
Closed Access | Times Cited: 26
Using Machine Learning Approaches to Explore Non-Cognitive Variables Influencing Reading Proficiency in English among Filipino Learners
Allan B. I. Bernardo, Macario O. Cordel, Rochelle Irene G. Lucas, et al.
Education Sciences (2021) Vol. 11, Iss. 10, pp. 628-628
Open Access | Times Cited: 26
Page 1 - Next Page

Scroll to top