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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-based automatic surgical step recognition in intraoperative videos for transanal total mesorectal excision
Daichi Kitaguchi, Nobuyoshi Takeshita, Hiroki Matsuzaki, et al.
Surgical Endoscopy (2021) Vol. 36, Iss. 2, pp. 1143-1151
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Transanal vs Laparoscopic Total Mesorectal Excision and 3-Year Disease-Free Survival in Rectal Cancer
Ziwei Zeng, Shuangling Luo, Hong Zhang, et al.
JAMA (2025)
Closed Access | Times Cited: 1
Automated Surgical-Phase Recognition for Robot-Assisted Minimally Invasive Esophagectomy Using Artificial Intelligence
Masashi Takeuchi, Hirofumi Kawakubo, Kosuke Saito, et al.
Annals of Surgical Oncology (2022) Vol. 29, Iss. 11, pp. 6847-6855
Closed Access | Times Cited: 33
Artificial Intelligence in Colorectal Cancer Surgery: Present and Future Perspectives
Giuseppe Quero, Pietro Mascagni, Fiona R. Kolbinger, et al.
Cancers (2022) Vol. 14, Iss. 15, pp. 3803-3803
Open Access | Times Cited: 29
Role of artificial intelligence in risk prediction, prognostication, and therapy response assessment in colorectal cancer: current state and future directions
Arian Mansur, Zain Saleem, Tarig Elhakim, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 20
Automated artificial intelligence–based phase-recognition system for esophageal endoscopic submucosal dissection (with video)
Tasuku Furube, Masashi Takeuchi, Hirofumi Kawakubo, et al.
Gastrointestinal Endoscopy (2024) Vol. 99, Iss. 5, pp. 830-838
Closed Access | Times Cited: 7
Challenges in multi-centric generalization: phase and step recognition in Roux-en-Y gastric bypass surgery
Joël L. Lavanchy, Sanat Ramesh, Diego Dall’Alba, et al.
International Journal of Computer Assisted Radiology and Surgery (2024) Vol. 19, Iss. 11, pp. 2249-2257
Open Access | Times Cited: 6
Artificial intelligence software available for medical devices: surgical phase recognition in laparoscopic cholecystectomy
Ken’ichi Shinozuka, Sayaka Turuda, Atsuro Fujinaga, et al.
Surgical Endoscopy (2022) Vol. 36, Iss. 10, pp. 7444-7452
Open Access | Times Cited: 26
Automatic surgical phase recognition in laparoscopic inguinal hernia repair with artificial intelligence
Masashi Takeuchi, Toby Collins, Adolphe Ndagijimana, et al.
Hernia (2022) Vol. 26, Iss. 6, pp. 1669-1678
Closed Access | Times Cited: 26
Current applications of artificial intelligence-based computer vision in laparoscopic surgery
Kangwei Guo, Haisu Tao, Yilin Zhu, et al.
Laparoscopic Endoscopic and Robotic Surgery (2023) Vol. 6, Iss. 3, pp. 91-96
Open Access | Times Cited: 14
Artificial intelligence and image guidance in minimally invasive pancreatic surgery: current status and future challenges
Philip C. Müller, Suna Erdem, Christoph Kuemmerli, et al.
Artificial Intelligence Surgery (2025) Vol. 5, Iss. 2, pp. 161-72
Open Access
Artificial intelligence for intraoperative video analysis in robotic-assisted esophagectomy
Amila Cizmic, Anuja T. Mitra, Anas Amin Preukschas, et al.
Surgical Endoscopy (2025)
Open Access
An intraoperative artificial intelligence system identifying anatomical landmarks for laparoscopic cholecystectomy: a prospective clinical feasibility trial (J-SUMMIT-C-01)
Hiroaki Nakanuma, Yuichi Endo, Atsuro Fujinaga, et al.
Surgical Endoscopy (2022)
Closed Access | Times Cited: 19
Evolution of a surgical system using deep learning in minimally invasive surgery (Review)
Kenbun Sone, Saki Tanimoto, Yusuke Toyohara, et al.
Biomedical Reports (2023) Vol. 19, Iss. 1
Open Access | Times Cited: 11
Artificial Intelligence in Surgery and Its Potential for Gastric Cancer
Takahiro Kinoshita, Masaru Komatsu
Journal of the Korean Gastric Cancer Association (2023) Vol. 23, Iss. 3, pp. 400-400
Open Access | Times Cited: 8
Automatic surgical phase recognition-based skill assessment in laparoscopic distal gastrectomy using multicenter videos
Masaru Komatsu, Daichi Kitaguchi, Masahiro Yura, et al.
Gastric Cancer (2023) Vol. 27, Iss. 1, pp. 187-196
Closed Access | Times Cited: 7
The power of AI on aggregating, managing, and curating medical knowledge for global surgical education
Daichi Kitaguchi, Masaaki Ito
Global Surgical Education - Journal of the Association for Surgical Education (2024) Vol. 3, Iss. 1
Closed Access | Times Cited: 1
Real-time segmentation of biliary structure in pure laparoscopic donor hepatectomy: an experimental study using deep learning for augmented surgery
Namkee Oh, Bogeun Kim, Tae Young Kim, et al.
Research Square (Research Square) (2024)
Closed Access | Times Cited: 1
Full resolution convolutional neural network based organ and surgical instrument classification on laparoscopic image data
Praveen SR Konduri, G. Siva Nageswara Rao
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105533-105533
Closed Access | Times Cited: 3
Development of a deep learning model for safe direct optical trocar insertion in minimally invasive surgery: an innovative method to prevent trocar injuries
Supakool Jearanai, Piyanun Wangkulangkul, Wannipa Sae-Lim, et al.
Surgical Endoscopy (2023) Vol. 37, Iss. 9, pp. 7295-7304
Closed Access | Times Cited: 2
The relationship between the esophageal endoscopic submucosal dissection technical difficulty and its intraoperative process
Tasuku Furube, Masashi Takeuchi, Hirofumi Kawakubo, et al.
Esophagus (2022) Vol. 20, Iss. 2, pp. 264-271
Closed Access | Times Cited: 3
Computer vision in colorectal surgery: Current status and future challenges
Daichi Kitaguchi, Masaaki Ito
Seminars in Colon and Rectal Surgery (2024) Vol. 35, Iss. 1, pp. 101008-101008
Closed Access
Impact of artificial intelligence in the management of esophageal, gastric and colorectal malignancies
Ayrton Bangolo, Nikita Wadhwani, Vignesh Krishnan Nagesh, et al.
Artificial Intelligence in Gastrointestinal Endoscopy (2024) Vol. 5, Iss. 2
Open Access
Role of Machine and Deep Learning in the Surgical Domain
Dharmendra Kumar Pipal, Rajendra Kumar Pipal, Vibha Rani Pipal, et al.
Artificial intelligence (2024)
Open Access
Real-time segmentation of biliary structure in pure laparoscopic donor hepatectomy
Namkee Oh, Bogeun Kim, Tae Young Kim, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Deep learning-based surgical step recognition for laparoscopic right-sided colectomy
Ryoya Honda, Daichi Kitaguchi, Yuto Ishikawa, et al.
Langenbeck s Archives of Surgery (2024) Vol. 409, Iss. 1
Closed Access
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