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:

Endo-Depth-and-Motion: Reconstruction and Tracking in Endoscopic Videos Using Depth Networks and Photometric Constraints
David Recasens, José Lamarca, José M. Fácil, et al.
IEEE Robotics and Automation Letters (2021) Vol. 6, Iss. 4, pp. 7225-7232
Open Access | Times Cited: 93

Showing 1-25 of 93 citing articles:

Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery
Yuehao Wang, Yonghao Long, Siu Hin Fan, et al.
Lecture notes in computer science (2022), pp. 431-441
Open Access | Times Cited: 72

Tracking and mapping in medical computer vision: A review
Adam Schmidt, Omid Mohareri, Simon DiMaio, et al.
Medical Image Analysis (2024) Vol. 94, pp. 103131-103131
Open Access | Times Cited: 20

Surgical-DINO: adapter learning of foundation models for depth estimation in endoscopic surgery
Beilei Cui, Mobarakol Islam, Long Bai, et al.
International Journal of Computer Assisted Radiology and Surgery (2024) Vol. 19, Iss. 6, pp. 1013-1020
Open Access | Times Cited: 15

Self-Supervised monocular depth and ego-Motion estimation in endoscopy: Appearance flow to the rescue
Shuwei Shao, Zhongcai Pei, Weihai Chen, et al.
Medical Image Analysis (2021) Vol. 77, pp. 102338-102338
Open Access | Times Cited: 69

Artificial intelligence and automation in endoscopy and surgery
François Chadebecq, Laurence Lovat, Danail Stoyanov
Nature Reviews Gastroenterology & Hepatology (2022) Vol. 20, Iss. 3, pp. 171-182
Open Access | Times Cited: 63

Colonoscopy 3D video dataset with paired depth from 2D-3D registration
Taylor L. Bobrow, Mayank Golhar, Rohan C. Vijayan, et al.
Medical Image Analysis (2023) Vol. 90, pp. 102956-102956
Open Access | Times Cited: 35

Self-Supervised Lightweight Depth Estimation in Endoscopy Combining CNN and Transformer
Zhuoyue Yang, Junjun Pan, Ju Dai, et al.
IEEE Transactions on Medical Imaging (2024) Vol. 43, Iss. 5, pp. 1934-1944
Closed Access | Times Cited: 9

EndoGS: Deformable Endoscopic Tissues Reconstruction with Gaussian Splatting
Lingting Zhu, Zhao Wang, Jiahao Cui, et al.
Lecture notes in computer science (2025), pp. 135-145
Closed Access | Times Cited: 1

A geometry-aware deep network for depth estimation in monocular endoscopy
Yongming Yang, Shuwei Shao, Tao Yang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 105989-105989
Open Access | Times Cited: 20

Stereo Dense Scene Reconstruction and Accurate Localization for Learning-Based Navigation of Laparoscope in Minimally Invasive Surgery
Ruofeng Wei, Bin Li, Hangjie Mo, et al.
IEEE Transactions on Biomedical Engineering (2022) Vol. 70, Iss. 2, pp. 488-500
Open Access | Times Cited: 26

Efficient Deformable Tissue Reconstruction via Orthogonal Neural Plane
Yang Chen, Kailing Wang, Yuehao Wang, et al.
IEEE Transactions on Medical Imaging (2024) Vol. 43, Iss. 9, pp. 3211-3223
Open Access | Times Cited: 5

EndoDAC: Efficient Adapting Foundation Model for Self-Supervised Depth Estimation from Any Endoscopic Camera
Beilei Cui, Mobarakol Islam, Long Bai, et al.
Lecture notes in computer science (2024), pp. 208-218
Closed Access | Times Cited: 5

A monocular thoracoscopic 3D scene reconstruction framework based on NeRF
Juntao Han, Ziming Zhang, Wenjun Tan, et al.
Medical & Biological Engineering & Computing (2025)
Closed Access

Enhanced self-supervised monocular depth estimation with self-attention and joint depth-pose loss for laparoscopic images
Wenda Li, Yuichiro Hayashi, Masahiro Oda, et al.
International Journal of Computer Assisted Radiology and Surgery (2025)
Open Access

MonoPCC: Photometric-invariant cycle constraint for monocular depth estimation of endoscopic images
Zhiwei Wang, Ying Zhou, Shiquan He, et al.
Medical Image Analysis (2025) Vol. 102, pp. 103534-103534
Open Access

SVT-SDE: Spatiotemporal Vision Transformers-Based Self-Supervised Depth Estimation in Stereoscopic Surgical Videos
Rong Tao, Baoru Huang, Xiaoyang Zou, et al.
IEEE Transactions on Medical Robotics and Bionics (2023) Vol. 5, Iss. 1, pp. 42-53
Closed Access | Times Cited: 7

3D reconstruction from endoscopy images: A survey
Zhuoyue Yang, Ju Dai, Junjun Pan
Computers in Biology and Medicine (2024) Vol. 175, pp. 108546-108546
Closed Access | Times Cited: 2

Self-supervised endoscopy depth estimation framework with CLIP-guidance segmentation
Zhuoyue Yang, Junjun Pan, Ju Dai, et al.
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106410-106410
Closed Access | Times Cited: 2

Advances in Real-Time 3D Reconstruction for Medical Endoscopy
Alexander Richter, Till Steinmann, Jean-Claude Rosenthal, et al.
Journal of Imaging (2024) Vol. 10, Iss. 5, pp. 120-120
Open Access | Times Cited: 2

ENeRF-SLAM:#A Dense Endoscopic SLAM With Neural Implicit Representation
Jiwei Shan, Yirui Li, Ting Xie, et al.
IEEE Transactions on Medical Robotics and Bionics (2024) Vol. 6, Iss. 3, pp. 1030-1041
Closed Access | Times Cited: 2

Absolute Monocular Depth Estimation on Robotic Visual and Kinematics Data via Self-Supervised Learning
Ruofeng Wei, Bin Li, Fangxun Zhong, et al.
IEEE Transactions on Automation Science and Engineering (2024) Vol. 22, pp. 4269-4282
Closed Access | Times Cited: 2

Digital twins as a unifying framework for surgical data science: the enabling role of geometric scene understanding
Hao Ding, Lalithkumar Seenivasan, Benjamin D. Killeen, et al.
Artificial Intelligence Surgery (2024) Vol. 4, Iss. 3, pp. 109-38
Open Access | Times Cited: 2

A lumen-adapted navigation scheme with spatial awareness from monocular vision for autonomous robotic endoscopy
Tao Yang, Yongming Yang, Peng Wang, et al.
Robotics and Autonomous Systems (2023) Vol. 165, pp. 104444-104444
Closed Access | Times Cited: 6

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