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:

Deep learning-assisted comparative analysis of animal trajectories with DeepHL
Takuya Maekawa, Kazuya Ohara, Yizhe Zhang, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

Big-data approaches lead to an increased understanding of the ecology of animal movement
Ran Nathan, Christopher T. Monk, Robert Arlinghaus, et al.
Science (2022) Vol. 375, Iss. 6582
Open Access | Times Cited: 359

A review of Earth Artificial Intelligence
Ziheng Sun, L. Sandoval, Robert Crystal‐Ornelas, et al.
Computers & Geosciences (2022) Vol. 159, pp. 105034-105034
Open Access | Times Cited: 173

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: 164

Bench to bedside — new insights into the pathogenesis of necrotizing enterocolitis
David J. Hackam, Chhinder P. Sodhi
Nature Reviews Gastroenterology & Hepatology (2022) Vol. 19, Iss. 7, pp. 468-479
Closed Access | Times Cited: 117

New frontiers in bird migration research
Andrea Flack, Ellen O. Aikens, Andrea Kölzsch, et al.
Current Biology (2022) Vol. 32, Iss. 20, pp. R1187-R1199
Open Access | Times Cited: 58

Learning and Animal Movement
Mark A. Lewis, William F. Fagan, Marie Auger‐Méthé, et al.
Frontiers in Ecology and Evolution (2021) Vol. 9
Open Access | Times Cited: 49

Positioning aquatic animals with acoustic transmitters
Robert J. Lennox, Kim Aarestrup, Josep Alós, et al.
Methods in Ecology and Evolution (2023) Vol. 14, Iss. 10, pp. 2514-2530
Open Access | Times Cited: 17

A comparison of machine learning methods for quantifying self-grooming behavior in mice
Kassi Correia, Raegan Walker, Christopher Pittenger, et al.
Frontiers in Behavioral Neuroscience (2024) Vol. 18
Open Access | Times Cited: 6

Unraveling hidden interactions in complex systems with deep learning
Seungwoong Ha, Hawoong Jeong
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 24

Multi-Agent Deep-Learning Based Comparative Analysis of Team Sport Trajectories
Ziyi Zhang, Rory Bunker, Kazuya Takeda, et al.
IEEE Access (2023) Vol. 11, pp. 43305-43315
Open Access | Times Cited: 10

A new data-driven paradigm for the study of avian migratory navigation
Urška Demšar, Beate Zein, Jed Long
Movement Ecology (2025) Vol. 13, Iss. 1
Open Access

A multidimensional approach to the self in non-human animals through the Pattern Theory of Self
Matteo Laurenzi, Antonino Raffone, Shaun Gallagher, et al.
Frontiers in Psychology (2025) Vol. 16
Open Access

The Convergence of AI and animal-inspired robots for ecological conservation
Naqash Afzal, Mobeen Ur Rehman, Lakmal Seneviratne, et al.
Ecological Informatics (2024), pp. 102950-102950
Open Access | Times Cited: 3

A predictive flight-altitude model for avoiding future conflicts between an emblematic raptor and wind energy development in the Swiss Alps
Sergio Vignali, Franziska Lörcher, Daniel Hegglin, et al.
Royal Society Open Science (2022) Vol. 9, Iss. 2
Open Access | Times Cited: 14

Why do animal groups matter for conservation and management?
Adriana A. Maldonado‐Chaparro, Gloriana Chaverri
Conservation Science and Practice (2021) Vol. 3, Iss. 12
Open Access | Times Cited: 12

Intelligent recognition and behavior tracking of sea cucumber infected with Vibrio alginolyticus based on machine vision
Wenkai Xu, Peidong Wang, Lingxu Jiang, et al.
Aquacultural Engineering (2023) Vol. 103, pp. 102368-102368
Closed Access | Times Cited: 5

Deep inference of seabird dives from GPS-only records: Performance and generalization properties
Amédée Roy, Sophie Bertrand, Ronan Fablet
PLoS Computational Biology (2022) Vol. 18, Iss. 3, pp. e1009890-e1009890
Open Access | Times Cited: 8

Sika deer trajectory prediction considering environmental factors by timeseries transformer-based architecture
Kentaro Kazama, Katsuhide Fujita, Yushin Shinoda, et al.
Expert Systems with Applications (2024) Vol. 250, pp. 123630-123630
Open Access | Times Cited: 1

Aedes aegypti mosquito movements analysis and sex classification using computer vision and deep learning
Khaled Mostafa, Mohamed Hany, Manuela Carnaghi, et al.
(2024) Vol. 27, pp. 261-267
Closed Access | Times Cited: 1

PTDS CenterTrack: pedestrian tracking in dense scenes with re-identification and feature enhancement
Jiazheng Wen, Huanyu Liu, Junbao Li
Machine Vision and Applications (2024) Vol. 35, Iss. 3
Closed Access | Times Cited: 1

Ponds as experimental arenas for studying animal movement: current research and future prospects
Christer Brönmark, Gustav Hellström, Henrik Baktoft, et al.
Movement Ecology (2023) Vol. 11, Iss. 1
Open Access | Times Cited: 3

Beyond Single Discrete Responses: An Integrative and Multidimensional Analysis of Behavioral Dynamics Assisted by Machine Learning
Alejandro León, Varsovia Hernández, Juan Miguel López, et al.
Frontiers in Behavioral Neuroscience (2021) Vol. 15
Open Access | Times Cited: 7

Cross-species behavior analysis with attention-based domain-adversarial deep neural networks
Takuya Maekawa, Daiki Higashide, Takahiro Hara, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 6

Nonparametric analysis of inter‐individual relations using an attention‐based neural network
Takashi Morita, Aru Toyoda, Seitaro Aisu, et al.
Methods in Ecology and Evolution (2021) Vol. 12, Iss. 8, pp. 1425-1440
Open Access | Times Cited: 4

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