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:

Expert Programmers Have Fine-Tuned Cortical Representations of Source Code
Yoshiharu Ikutani, Takatomi Kubo, S. Nishida, et al.
eNeuro (2020) Vol. 8, Iss. 1, pp. ENEURO.0405-20.2020
Open Access | Times Cited: 14

Showing 14 citing articles:

Comprehension of computer code relies primarily on domain-general executive brain regions
Anna A. Ivanova, Shashank Srikant, Yotaro Sueoka, et al.
eLife (2020) Vol. 9
Open Access | Times Cited: 83

Neurophysiological Measurements in the Research Field of Interruption Science: Insights into Applied Methods for Different Interruption Types Based on an Umbrella Review
Fabian J. Stangl, René Riedl‬
Lecture notes in information systems and organisation (2024), pp. 123-152
Closed Access | Times Cited: 8

Brain and autonomic nervous system activity measurement in software engineering: A systematic literature review
Barbara Weber, Thomas Fischer, René Riedl‬
Journal of Systems and Software (2021) Vol. 178, pp. 110946-110946
Open Access | Times Cited: 54

Synthesizing research on programmers’ mental models of programs, tasks and concepts — A systematic literature review
Ava Heinonen, Bettina Lehtelä, Arto Hellas, et al.
Information and Software Technology (2023) Vol. 164, pp. 107300-107300
Open Access | Times Cited: 4

Contribution of the language network to the comprehension of Python programming code
Yunfei Liu, Colin Wilson, Marina Bedny
Brain and Language (2024) Vol. 251, pp. 105392-105392
Closed Access | Times Cited: 1

Reading and Calculation Neural Systems and Their Weighted Adaptive Use for Programming Skills
João Castelhano, Isabel Catarina Duarte, João Durães, et al.
Neural Plasticity (2021) Vol. 2021, pp. 1-13
Open Access | Times Cited: 4

Mastering Variation in Human Studies
Janet Siegmund, Norman Peitek, Sven Apel, et al.
ACM Transactions on Software Engineering and Methodology (2020) Vol. 30, Iss. 1, pp. 1-40
Closed Access | Times Cited: 3

Learning to mimic programmers gaze behavior for program comprehension improvement
Jean-Gabriel Barthélemy, Takatomi Kubo, Takeshi Itoh, et al.
Artificial Life and Robotics (2023) Vol. 28, Iss. 2, pp. 295-306
Closed Access | Times Cited: 1

Changes in functional brain activity patterns associated with computer programming learning in novices
Kenji Hishikawa, Kenji Yoshinaga, Hiroki Togo, et al.
Brain Structure and Function (2023) Vol. 228, Iss. 7, pp. 1691-1701
Open Access | Times Cited: 1

A Systematic Collection of Medical Image Datasets for Deep Learning
Johann Li, Guangming Zhu, Cong Hua, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 3

Structural neuroplasticity in computer programming beginners
Takeshi Hongo, Takao YAKOU, Kenji Yoshinaga, et al.
Cerebral Cortex (2022) Vol. 33, Iss. 9, pp. 5375-5381
Closed Access | Times Cited: 2

The neural bases of program comprehension: a coordinate-based fMRI meta-analysis
Yoshiharu Ikutani, Takeshi Itoh, Takatomi Kubo
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 1

Development and Evaluation of Quizzes Aimed at Quantifying Computational Thinking
Hiroki Tanioka, Rina Yano
2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI) (2021)
Closed Access | Times Cited: 1

Changes in functional brain activity patterns associated with computer programming learning in novices
Kenji Hishikawa, Kenji Yoshinaga, Hiroki Togo, et al.
Research Square (Research Square) (2022)
Open Access

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