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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:

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

Showing 1-25 of 33 citing articles:

Artificial intelligence in surgery
Chris Varghese, Ewen M. Harrison, Greg O’Grady, et al.
Nature Medicine (2024) Vol. 30, Iss. 5, pp. 1257-1268
Open Access | Times Cited: 43
Renji endoscopic submucosal dissection video data set for early gastric cancer
Biaohua Chen, Xiangning Zhang, Chunjiang Gu, et al.
Scientific Data (2025) Vol. 12, Iss. 1
Open Access | Times Cited: 1
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
Deep Learning Based Image Processing for Robot Assisted Surgery: A Systematic Literature Survey
Sardar Mehboob Hussain, Antonio Brunetti, Giuseppe Lucarelli, et al.
IEEE Access (2022) Vol. 10, pp. 122627-122657
Open Access | Times Cited: 24
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
The clinical application of artificial intelligence in cancer precision treatment
Jinyu Wang, Ziyi Zeng, Zehua Li, et al.
Journal of Translational Medicine (2025) Vol. 23, Iss. 1
Open Access
The current state of artificial intelligence in robotic esophageal surgery
Christine Poulos, Ryan J. Cassidy, Eamon Khatibifar, et al.
Mini-invasive Surgery (2025)
Open Access
Assessing operative variability in robot-assisted radical prostatectomy (RARP) through AI
Laura Zuluaga, Jewel Bamby, Kennedy E. Okhawere, et al.
Journal of Robotic Surgery (2025) Vol. 19, Iss. 1
Closed Access
Current Role of Artificial Intelligence in the Management of Esophageal Cancer
Evgenia Mela, Dimitrios Tsapralis, Dimitrios Papakonstantinou, et al.
Journal of Clinical Medicine (2025) Vol. 14, Iss. 6, pp. 1845-1845
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
Automated surgical step recognition in transurethral bladder tumor resection using artificial intelligence: transfer learning across surgical modalities
Ekamjit S. Deol, Matthew K. Tollefson, Alenka Antolin, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 4
Intelligent surgical workflow recognition for endoscopic submucosal dissection with real-time animal study
Jianfeng Cao, Hon‐Chi Yip, Yueyao Chen, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 10
Usefulness of an Artificial Intelligence Model in Recognizing Recurrent Laryngeal Nerves During Robot-Assisted Minimally Invasive Esophagectomy
Tasuku Furube, Masashi Takeuchi, Hirofumi Kawakubo, et al.
Annals of Surgical Oncology (2024)
Closed Access | Times Cited: 3
Characteristics of Artificial Intelligence Clinical Trials in the Field of Healthcare: A Cross-Sectional Study on ClinicalTrials.gov
Anran Wang, Xiaolei Xiu, Shengyu Liu, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 20, pp. 13691-13691
Open Access | Times Cited: 15
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
Evaluating surgical expertise with AI‐based automated instrument recognition for robotic distal gastrectomy
James S. Strong, Tasuku Furube, Masashi Takeuchi, et al.
Annals of Gastroenterological Surgery (2024) Vol. 8, Iss. 4, pp. 611-619
Open Access | Times Cited: 2
What defines the “value” of robotic surgery for patients with gastrointestinal cancers? Perspectives from a U.S. Cancer Center
Naruhiko Ikoma
Annals of Gastroenterological Surgery (2024) Vol. 8, Iss. 4, pp. 566-579
Open Access | Times Cited: 2
Surgical step recognition in laparoscopic distal gastrectomy using artificial intelligence: a proof-of-concept study
Mitsumasa Yoshida, Daichi Kitaguchi, Nobuyoshi Takeshita, et al.
Langenbeck s Archives of Surgery (2024) Vol. 409, Iss. 1
Closed Access | Times Cited: 2
Artificial Intelligence in Surgery: A Systematic Review of Use and Validation
Nitzan Kenig, Javier Montón Echeverría, Aina Muntaner Vives
Journal of Clinical Medicine (2024) Vol. 13, Iss. 23, pp. 7108-7108
Open Access | Times Cited: 2
Active learning for extracting surgomic features in robot-assisted minimally invasive esophagectomy: a prospective annotation study
Johanna M. Brandenburg, Alexander C. Jenke, Antonia Stern, et al.
Surgical Endoscopy (2023) Vol. 37, Iss. 11, pp. 8577-8593
Open Access | Times Cited: 5
Application of artificial intelligence to hepatobiliary cancer clinical outcomes research
Yutaka Endo, Laura Alaimo, Giovanni Catalano, et al.
Artificial Intelligence Surgery (2024) Vol. 4, Iss. 2, pp. 59-67
Open Access | Times Cited: 1
Toward an interoperable, intraoperative situation recognition system via process modeling, execution, and control using the standards BPMN and CMMN
Denise Junger, Elisaveta Just, Johanna M. Brandenburg, et al.
International Journal of Computer Assisted Radiology and Surgery (2023) Vol. 19, Iss. 1, pp. 69-82
Open Access | Times Cited: 4
Deep Learning for Image Analysis in the Diagnosis and Management of Esophageal Cancer
Charalampos Theocharopoulos, Spyridon Davakis, Dimitrios C. Ziogas, et al.
Cancers (2024) Vol. 16, Iss. 19, pp. 3285-3285
Open Access | Times Cited: 1
The learning curve on uniportal video-assisted thoracoscopic lobectomy with the help of postoperative review of videos
Zuodong Song, Yuan Yu, Chao Cheng, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 3
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