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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:

Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers
Fred Hohman, Minsuk Kahng, Robert Pienta, et al.
IEEE Transactions on Visualization and Computer Graphics (2018) Vol. 25, Iss. 8, pp. 2674-2693
Open Access | Times Cited: 526

Showing 1-25 of 526 citing articles:

Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
Amina Adadi, Mohammed Berrada
IEEE Access (2018) Vol. 6, pp. 52138-52160
Open Access | Times Cited: 4292
On the Opportunities and Risks of Foundation Models
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 1553
Deep learning-based electroencephalography analysis: a systematic review
Yannick Roy, Hubert Banville, Isabela Albuquerque, et al.
Journal of Neural Engineering (2019) Vol. 16, Iss. 5, pp. 051001-051001
Open Access | Times Cited: 1030
An overview of deep learning in medical imaging focusing on MRI
Alexander Selvikvåg Lundervold, Arvid Lundervold
Zeitschrift für Medizinische Physik (2018) Vol. 29, Iss. 2, pp. 102-127
Open Access | Times Cited: 980
Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images
Tawsifur Rahman, Amith Khandakar, Yazan Qiblawey, et al.
Computers in Biology and Medicine (2021) Vol. 132, pp. 104319-104319
Open Access | Times Cited: 873
Explainable Machine Learning for Scientific Insights and Discoveries
Ribana Roscher, Bastian Bohn, Marco F. Duarte, et al.
IEEE Access (2020) Vol. 8, pp. 42200-42216
Open Access | Times Cited: 752
The What-If Tool: Interactive Probing of Machine Learning Models
James Wexler, Mahima Pushkarna, Tolga Bolukbasi, et al.
IEEE Transactions on Visualization and Computer Graphics (2019), pp. 1-1
Open Access | Times Cited: 426
A Multidisciplinary Survey and Framework for Design and Evaluation of Explainable AI Systems
Sina Mohseni, Niloofar Zarei, Eric D. Ragan
ACM Transactions on Interactive Intelligent Systems (2021) Vol. 11, Iss. 3-4, pp. 1-45
Open Access | Times Cited: 419
Explainable Artificial Intelligence: Objectives, Stakeholders, and Future Research Opportunities
Christian Meske, Enrico Bunde, Johannes Schneider, et al.
Information Systems Management (2020) Vol. 39, Iss. 1, pp. 53-63
Open Access | Times Cited: 278
Deep-learning seismology
S. Mostafa Mousavi, Gregory C. Beroza
Science (2022) Vol. 377, Iss. 6607
Closed Access | Times Cited: 277
Solving the Black Box Problem: A Normative Framework for Explainable Artificial Intelligence
Carlos Zednik
Philosophy & Technology (2019) Vol. 34, Iss. 2, pp. 265-288
Closed Access | Times Cited: 259
CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization
Zijie J. Wang, Robert Turko, Omar Shaikh, et al.
IEEE Transactions on Visualization and Computer Graphics (2020) Vol. 27, Iss. 2, pp. 1396-1406
Open Access | Times Cited: 231
Explaining Decision-Making Algorithms through UI
Hao-Fei Cheng, Ruotong Wang, Zheng Zhang, et al.
(2019), pp. 1-12
Closed Access | Times Cited: 228
Deep convolutional neural networks for mammography: advances, challenges and applications
Dina Abdelhafiz, Clifford Yang, Reda A. Ammar, et al.
BMC Bioinformatics (2019) Vol. 20, Iss. S11
Open Access | Times Cited: 227
explAIner: A Visual Analytics Framework for Interactive and Explainable Machine Learning
Thilo Spinner, Udo Schlegel, Hanna Schäfer, et al.
IEEE Transactions on Visualization and Computer Graphics (2019), pp. 1-1
Open Access | Times Cited: 222
Seq2seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models
Hendrik Strobelt, Sebastian Gehrmann, Michael Behrisch, et al.
IEEE Transactions on Visualization and Computer Graphics (2018) Vol. 25, Iss. 1, pp. 353-363
Open Access | Times Cited: 216
A survey of visual analytics techniques for machine learning
Jun Yuan, Changjian Chen, Weikai Yang, et al.
Computational Visual Media (2020) Vol. 7, Iss. 1, pp. 3-36
Open Access | Times Cited: 209
Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations
Fred Hohman, Haekyu Park, Caleb Robinson, et al.
IEEE Transactions on Visualization and Computer Graphics (2019) Vol. 26, Iss. 1, pp. 1096-1106
Open Access | Times Cited: 200
Integrating Machine Learning with Human Knowledge
Changyu Deng, Xunbi A. Ji, Colton Rainey, et al.
iScience (2020) Vol. 23, Iss. 11, pp. 101656-101656
Open Access | Times Cited: 198
Gamut
Fred Hohman, Andrew Head, Rich Caruana, et al.
(2019)
Closed Access | Times Cited: 196
GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation
Minsuk Kahng, Nikhil Thorat, Duen Horng Chau, et al.
IEEE Transactions on Visualization and Computer Graphics (2018) Vol. 25, Iss. 1, pp. 310-320
Open Access | Times Cited: 188
Medical deep learning—A systematic meta-review
Jan Egger, Christina Gsaxner, Antonio Pepe, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 221, pp. 106874-106874
Open Access | Times Cited: 173
Covid-19 Face Mask Detection Using TensorFlow, Keras and OpenCV
Arjya Das, Mohammad Wasif Ansari, Rohini Basak
2021 IEEE 18th India Council International Conference (INDICON) (2020)
Closed Access | Times Cited: 166
A survey of visual analytics for Explainable Artificial Intelligence methods
Gülsüm Alicioğlu, Bo Sun
Computers & Graphics (2021) Vol. 102, pp. 502-520
Closed Access | Times Cited: 158
FAIRVIS: Visual Analytics for Discovering Intersectional Bias in Machine Learning
Ángel Alexander Cabrera, Will Epperson, Fred Hohman, et al.
(2019), pp. 46-56
Open Access | Times Cited: 156
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