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:

Technological advances in field studies of pollinator ecology and the future of e-ecology
Sarah E. Barlow, Mark A. O’Neill
Current Opinion in Insect Science (2020) Vol. 38, pp. 15-25
Closed Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

Deep learning and computer vision will transform entomology
Toke T. Høye, Johanna Ärje, Kim Bjerge, et al.
Proceedings of the National Academy of Sciences (2021) Vol. 118, Iss. 2
Open Access | Times Cited: 324

Broad‐scale applications of the Raspberry Pi: A review and guide for biologists
Jolle W. Jolles
Methods in Ecology and Evolution (2021) Vol. 12, Iss. 9, pp. 1562-1579
Open Access | Times Cited: 152

Accurate detection and identification of insects from camera trap images with deep learning
Kim Bjerge, Jamie Alison, Mads Dyrmann, et al.
PLOS Sustainability and Transformation (2023) Vol. 2, Iss. 3, pp. e0000051-e0000051
Open Access | Times Cited: 64

A Smart Sensor-Based Measurement System for Advanced Bee Hive Monitoring
Stefania Cecchi, Susanna Spinsante, Alessandro Terenzi, et al.
Sensors (2020) Vol. 20, Iss. 9, pp. 2726-2726
Open Access | Times Cited: 85

PICT: A low‐cost, modular, open‐source camera trap system to study plant–insect interactions
Vincent Droissart, Laura Azandi, Eric Rostand Onguene, et al.
Methods in Ecology and Evolution (2021) Vol. 12, Iss. 8, pp. 1389-1396
Open Access | Times Cited: 59

Automated Beehive Acoustics Monitoring: A Comprehensive Review of the Literature and Recommendations for Future Work
Mahsa Abdollahi, Pierre Giovenazzo, Tiago H. Falk
Applied Sciences (2022) Vol. 12, Iss. 8, pp. 3920-3920
Open Access | Times Cited: 40

Utilising affordable smartphones and open-source time-lapse photography for pollinator image collection and annotation
Valentin Ștefan, Aspen Workman, Jared C. Cobain, et al.
Journal of Pollination Ecology (2025) Vol. 37, pp. 1-21
Open Access | Times Cited: 1

An overview of remote monitoring methods in biodiversity conservation
Rout George Kerry, Francis Jesmar P. Montalbo, Rajeswari Das, et al.
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 53, pp. 80179-80221
Open Access | Times Cited: 37

MFCC-based descriptor for bee queen presence detection
Bianca Sousa Soares, Jederson S. Luz, Valderlândia Francisca de Macêdo, et al.
Expert Systems with Applications (2022) Vol. 201, pp. 117104-117104
Closed Access | Times Cited: 30

A Minimally Invasive Approach Towards “Ecosystem Hacking” With Honeybees
Martin Stefanec, Daniel Nicolas Hofstadler, Tomáš Krajník, et al.
Frontiers in Robotics and AI (2022) Vol. 9
Open Access | Times Cited: 23

Microhabitat conditions remedy heat stress effects on insect activity
Jördis F. Terlau, Ulrich Brose, Nico Eisenhauer, et al.
Global Change Biology (2023) Vol. 29, Iss. 13, pp. 3747-3758
Open Access | Times Cited: 15

Informing policy and practice on insect pollinator declines: Tensions between conservation and animal welfare
Meghan Barrett, Bob Fischer, Stephen L. Buchmann
Frontiers in Ecology and Evolution (2023) Vol. 10
Open Access | Times Cited: 14

Object Detection of Small Insects in Time-Lapse Camera Recordings
Kim Bjerge, Carsten Eie Frigaard, Henrik Karstoft
Sensors (2023) Vol. 23, Iss. 16, pp. 7242-7242
Open Access | Times Cited: 14

Effects of study design parameters on estimates of bee abundance and richness in agroecosystems: a meta-analysis
Hannah K. Levenson, Bradley N. Metz, David R. Tarpy
Annals of the Entomological Society of America (2024) Vol. 117, Iss. 2, pp. 92-106
Open Access | Times Cited: 5

In-field monitoring of ground-nesting insect aggregations using a scaleable multi-camera system
Daniela Calvus, Karoline Wueppenhorst, R.E. Schlosser, et al.
Ecological Informatics (2025), pp. 103004-103004
Open Access

Successes and limitations of pretrained YOLO detectors applied to unseen time-lapse images for automated pollinator monitoring
Valentin Ștefan, Thomas Stark, Michael Wurm, et al.
Research Square (Research Square) (2025)
Closed Access

Arthropods and climate change – arctic challenges and opportunities
Toke T. Høye
Current Opinion in Insect Science (2020) Vol. 41, pp. 40-45
Closed Access | Times Cited: 35

Resistive Neural Hardware Accelerators
Kamilya Smagulova, Mohammed E. Fouda, Fadi Kurdahi, et al.
Proceedings of the IEEE (2023) Vol. 111, Iss. 5, pp. 500-527
Open Access | Times Cited: 12

Artificial Intelligence in Ecology: A Commentary on a Chatbot's Perspective
Sajjad Reyhani Haghighi, Mikaeel Pasandideh Saqalaksari, Scott N. Johnson
Bulletin of the Ecological Society of America (2023) Vol. 104, Iss. 4
Open Access | Times Cited: 12

Insect communities under skyglow: diffuse night-time illuminance induces spatio-temporal shifts in movement and predation
Alexander Dyer, Remo Ryser, Ulrich Brose, et al.
Philosophical Transactions of the Royal Society B Biological Sciences (2023) Vol. 378, Iss. 1892
Open Access | Times Cited: 11

A deep learning pipeline for time-lapse camera monitoring of insects and their floral environments
Kim Bjerge, Henrik Karstoft, Hjalte M. R. Mann, et al.
Ecological Informatics (2024), pp. 102861-102861
Open Access | Times Cited: 4

Advancing Sustainable Agriculture Through Bumblebee Pollination: Bibliometric Insights and Future Directions
Mei Bie, Kai Song, Dong He, et al.
Sustainability (2025) Vol. 17, Iss. 5, pp. 2177-2177
Open Access

Deep learning and computer vision will transform entomology
Toke T. Høye, Johanna Ärje, Kim Bjerge, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 30

Bugs and Bytes: Entomological Biomonitoring in the Age of Deep Learning and Beyond
Mukilan Deivarajan Suresh, Tong Xin, Darren M. Evans, et al.
(2024)
Open Access | Times Cited: 3

Page 1 - Next Page

Scroll to top