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:

Not End-to-End: Explore Multi-Stage Architecture for Online Surgical Phase Recognition
Fangqiu Yi, Yanfeng Yang, Tingting Jiang
Lecture notes in computer science (2023), pp. 417-432
Open Access | Times Cited: 12

Showing 12 citing articles:

Exploring Segment-Level Semantics for Online Phase Recognition From Surgical Videos
Xinpeng Ding, Xiaomeng Li
IEEE Transactions on Medical Imaging (2022) Vol. 41, Iss. 11, pp. 3309-3319
Open Access | Times Cited: 33

On the pitfalls of Batch Normalization for end-to-end video learning: A study on surgical workflow analysis
Dominik Rivoir, Isabel Funke, Stefanie Speidel
Medical Image Analysis (2024) Vol. 94, pp. 103126-103126
Open Access | Times Cited: 5

MT4MTL-KD: A Multi-Teacher Knowledge Distillation Framework for Triplet Recognition
Shuangchun Gui, Zhenkun Wang, Chen Ji-xiang, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 43, Iss. 4, pp. 1628-1639
Closed Access | Times Cited: 6

Phase-specific augmented reality guidance for microscopic cataract surgery using spatiotemporal fusion network
Puxun Tu, Hongfei Ye, Haochen Shi, et al.
Information Fusion (2024) Vol. 113, pp. 102604-102604
Closed Access | Times Cited: 1

EgoSurgery-Phase: A Dataset of Surgical Phase Recognition from Egocentric Open Surgery Videos
Ryo Fujii, Masashi Hatano, Hideo Saitô, et al.
Lecture notes in computer science (2024), pp. 187-196
Closed Access | Times Cited: 1

Deep learning for surgical workflow analysis: a survey of progresses, limitations, and trends
Yunlong Li, Zijian Zhao, Renbo Li, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 11
Open Access | Times Cited: 1

Efficient Spatiotemporal Learning of Microscopic Video for Augmented Reality-Guided Phacoemulsification Cataract Surgery
Puxun Tu, Hongfei Ye, Jeff Young, et al.
Lecture notes in computer science (2023), pp. 682-692
Closed Access | Times Cited: 3

Deep learning-based surgical phase recognition in laparoscopic cholecystectomy
Hye Yeon Yang, Seung Soo Hong, J. J. Yoon, et al.
Annals of Hepato-Biliary-Pancreatic Surgery (2024)
Open Access

Label-Guided Teacher for Surgical Phase Recognition via Knowledge Distillation
Jiale Guan, Xiaoyang Zou, Rong Tao, et al.
Lecture notes in computer science (2024), pp. 349-358
Closed Access

An Experimental Study of nmODE in Recognizing Endoscopic Submucosal Dissection Workflow
Kaide Huang, Xianglei Yuan, Ruide Liu, et al.
(2023), pp. 603-608
Closed Access

SPHASE: Multi-Modal and Multi-Branch Surgical Phase Segmentation Framework based on Temporal Convolutional Network
Jun Long, Junkun Hong, Zidong Wang, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023) Vol. 32, pp. 586-593
Closed Access

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