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:

AIM 2022 Challenge on Instagram Filter Removal: Methods and Results
Furkan Kınlı, Sami Menteş, Barış Özcan, et al.
Lecture notes in computer science (2023), pp. 27-43
Closed Access | Times Cited: 8

Showing 8 citing articles:

Transformative Noise Reduction: Leveraging a Transformer-Based Deep Network for Medical Image Denoising
Rizwan Ali Naqvi, Amir Haider, Hak Seob Kim, et al.
Mathematics (2024) Vol. 12, Iss. 15, pp. 2313-2313
Open Access | Times Cited: 11

Realistic Bokeh Effect Rendering on Mobile GPUs, Mobile AI & AIM 2022 Challenge: Report
Andrey Ignatov, Radu Timofte, Jin Zhang, et al.
Lecture notes in computer science (2023), pp. 153-173
Closed Access | Times Cited: 12

AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results
Ren Yang, Radu Timofte, Xin Li, et al.
Lecture notes in computer science (2023), pp. 174-202
Closed Access | Times Cited: 10

Transitioning from TinyML to Edge GenAI: A Review
Gloria Giorgetti, Danilo Pau
Big Data and Cognitive Computing (2025) Vol. 9, Iss. 3, pp. 61-61
Open Access

Learned Smartphone ISP on Mobile GPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report
Andrey Ignatov, Radu Timofte, Shuai Liu, et al.
Lecture notes in computer science (2023), pp. 44-70
Closed Access | Times Cited: 5

Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Report
Marcos V. Conde, Radu Timofte, Yibin Huang, et al.
Lecture notes in computer science (2023), pp. 3-26
Closed Access | Times Cited: 5

Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report
Andrey Ignatov, Grigory Malivenko, Radu Timofte, et al.
Lecture notes in computer science (2023), pp. 71-91
Closed Access | Times Cited: 4

Abnormal Action Recognition in Social Media Clips Using Deep Learning to Analyze Behavioral Change
Abdorreza Alavi Gharahbagh, Vahid Hajihashemi, Marta Campos Ferreira, et al.
Lecture notes in networks and systems (2024), pp. 359-370
Closed Access

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