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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:

Using DeepLabCut for 3D markerless pose estimation across species and behaviors
Tanmay Nath, Alexander Mathis, An Chi Chen, et al.
Nature Protocols (2019) Vol. 14, Iss. 7, pp. 2152-2176
Open Access | Times Cited: 1128

Showing 1-25 of 1128 citing articles:

Survey of spiking in the mouse visual system reveals functional hierarchy
Joshua H. Siegle, Xiaoxuan Jia, Séverine Durand, et al.
Nature (2021) Vol. 592, Iss. 7852, pp. 86-92
Open Access | Times Cited: 475
DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning
Jacob M. Graving, Daniel H. Chae, Hemal Naik, et al.
eLife (2019) Vol. 8
Open Access | Times Cited: 461
Computational Neuroethology: A Call to Action
Sandeep Robert Datta, David J. Anderson, Kristin Branson, et al.
Neuron (2019) Vol. 104, Iss. 1, pp. 11-24
Open Access | Times Cited: 387
Deep learning tools for the measurement of animal behavior in neuroscience
Mackenzie Weygandt Mathis, Alexander Mathis
Current Opinion in Neurobiology (2019) Vol. 60, pp. 1-11
Open Access | Times Cited: 376
Multi-animal pose estimation, identification and tracking with DeepLabCut
Jessy Lauer, Mu Zhou, Shaokai Ye, et al.
Nature Methods (2022) Vol. 19, Iss. 4, pp. 496-504
Open Access | Times Cited: 359
Considering sex as a biological variable will require a global shift in science culture
Rebecca M. Shansky, Anne Z. Murphy
Nature Neuroscience (2021) Vol. 24, Iss. 4, pp. 457-464
Closed Access | Times Cited: 352
Artificial Neural Networks for Neuroscientists: A Primer
Guangyu Robert Yang, Xiao‐Jing Wang
Neuron (2020) Vol. 107, Iss. 6, pp. 1048-1070
Open Access | Times Cited: 284
Evaluation of 3D Markerless Motion Capture Accuracy Using OpenPose With Multiple Video Cameras
Nobuyasu Nakano, Tetsuro Sakura, Kazuhiro Ueda, et al.
Frontiers in Sports and Active Living (2020) Vol. 2
Open Access | Times Cited: 253
Keep it real: rethinking the primacy of experimental control in cognitive neuroscience
Samuel A. Nastase, Ariel Goldstein, Uri Hasson
NeuroImage (2020) Vol. 222, pp. 117254-117254
Open Access | Times Cited: 249
Large-scale two-photon calcium imaging in freely moving mice
Weijian Zong, Horst A. Obenhaus, Emilie Ranheim Skytøen, et al.
Cell (2022) Vol. 185, Iss. 7, pp. 1240-1256.e30
Open Access | Times Cited: 217
B-SOiD, an open-source unsupervised algorithm for identification and fast prediction of behaviors
Alexander Hsu, Eric A. Yttri
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 213
A Primer on Motion Capture with Deep Learning: Principles, Pitfalls, and Perspectives
Alexander Mathis, Steffen Schneider, Jessy Lauer, et al.
Neuron (2020) Vol. 108, Iss. 1, pp. 44-65
Open Access | Times Cited: 207
Internal state dynamics shape brainwide activity and foraging behaviour
João C. Marques, meng Li, Diane Schaak, et al.
Nature (2019) Vol. 577, Iss. 7789, pp. 239-243
Closed Access | Times Cited: 202
Anipose: A toolkit for robust markerless 3D pose estimation
Pierre Karashchuk, Katie L. Rupp, Evyn S Dickinson, et al.
Cell Reports (2021) Vol. 36, Iss. 13, pp. 109730-109730
Open Access | Times Cited: 198
Two-dimensional video-based analysis of human gait using pose estimation
Jan Stenum, Cristina Rossi, Ryan T. Roemmich
PLoS Computational Biology (2021) Vol. 17, Iss. 4, pp. e1008935-e1008935
Open Access | Times Cited: 189
Automated markerless pose estimation in freely moving macaques with OpenMonkeyStudio
Praneet Bala, Benjamin R. Eisenreich, Seng Bum Michael Yoo, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 186
DeepFly3D, a deep learning-based approach for 3D limb and appendage tracking in tethered, adult Drosophila
Semih Günel, Helge Rhodin, Daniel Morales, et al.
eLife (2019) Vol. 8
Open Access | Times Cited: 176
Deep learning-based behavioral analysis reaches human accuracy and is capable of outperforming commercial solutions
Oliver Sturman, Lukas von Ziegler, Christa Schläppi, et al.
Neuropsychopharmacology (2020) Vol. 45, Iss. 11, pp. 1942-1952
Open Access | Times Cited: 167
High-speed, cortex-wide volumetric recording of neuroactivity at cellular resolution using light beads microscopy
Jeffrey Demas, Jason Manley, Frank Tejera, et al.
Nature Methods (2021) Vol. 18, Iss. 9, pp. 1103-1111
Open Access | Times Cited: 167
Geometric deep learning enables 3D kinematic profiling across species and environments
Timothy Dunn, Jesse D. Marshall, Kyle S. Severson, et al.
Nature Methods (2021) Vol. 18, Iss. 5, pp. 564-573
Open Access | Times Cited: 164
Deep learning as a tool for ecology and evolution
Marek L. Borowiec, Rebecca B. Dikow, Paul B. Frandsen, et al.
Methods in Ecology and Evolution (2022) Vol. 13, Iss. 8, pp. 1640-1660
Open Access | Times Cited: 155
Towards the fully automated monitoring of ecological communities
Marc Besson, Jamie Alison, Kim Bjerge, et al.
Ecology Letters (2022) Vol. 25, Iss. 12, pp. 2753-2775
Open Access | Times Cited: 144
DeepEthogram, a machine learning pipeline for supervised behavior classification from raw pixels
James P. Bohnslav, Nivanthika K. Wimalasena, Kelsey J. Clausing, et al.
eLife (2021) Vol. 10
Open Access | Times Cited: 129
The accuracy of several pose estimation methods for 3D joint centre localisation
Laurie Needham, Murray Evans, Darren Cosker, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 105
Pretraining boosts out-of-domain robustness for pose estimation
Alexander Mathis, Thomas Biasi, Steffen Schneider, et al.
(2021), pp. 1858-1867
Open Access | Times Cited: 103
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