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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:

Real-time detection of the recurrent laryngeal nerve in thoracoscopic esophagectomy using artificial intelligence
Kazuma Sato, Takeo Fujita, Hiroki Matsuzaki, et al.
Surgical Endoscopy (2022) Vol. 36, Iss. 7, pp. 5531-5539
Closed Access | Times Cited: 22

Showing 22 citing articles:

Deep learning-based recognition of key anatomical structures during robot-assisted minimally invasive esophagectomy
R. B. den Boer, Tim J. M. Jaspers, C. de Jongh, et al.
Surgical Endoscopy (2023) Vol. 37, Iss. 7, pp. 5164-5175
Open Access | Times Cited: 19
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
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
Variant anatomy of non-recurrent laryngeal nerve: when and how should it be taught in surgical residency?
Victoria Zheng, Reshma Rajeev, Diluka Pinto, et al.
Langenbeck s Archives of Surgery (2023) Vol. 408, Iss. 1
Closed Access | Times Cited: 9
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
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
Current and Future of Robotic Surgery in Thyroid Cancer Treatment
Joonseon Park, Kwangsoon Kim
Cancers (2024) Vol. 16, Iss. 13, pp. 2470-2470
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
Anatomical recognition artificial intelligence for identifying the recurrent laryngeal nerve during endoscopic thyroid surgery: A single‐center feasibility study
Yukio Nishiya, Kazuto Matsuura, Tateo Ogane, et al.
Laryngoscope Investigative Otolaryngology (2024) Vol. 9, Iss. 6
Closed Access | Times Cited: 1
Real-time detection of active bleeding in laparoscopic colectomy using artificial intelligence
Kenta Horita, Koya Hida, Yoshiro Itatani, et al.
Surgical Endoscopy (2024) Vol. 38, Iss. 6, pp. 3461-3469
Closed Access | Times Cited: 1
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
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
臨床現場からの革新的医療機器創出を目指して
Nobuyoshi Takeshita, Masaaki Ito
Journal of Japan Society of Computer Aided Surgery (2024) Vol. 26, Iss. 1, pp. 22-24
Closed Access
Accuracy of thoracic nerves recognition for surgical support system using artificial intelligence
Junji Ichinose, Nao Kobayashi, Kyohei Fukata, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
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
ASO Author Reflections: Can Artificial Intelligence Assist in the Recognition of Recurrent Laryngeal Nerve During Robot-Assisted Minimally Invasive Esophagectomy?
Tasuku Furube, Masashi Takeuchi, Hirofumi Kawakubo, et al.
Annals of Surgical Oncology (2024)
Closed Access
Deep learning-based automatic bleeding recognition during liver resection in laparoscopic hepatectomy
Taiki Sunakawa, Daichi Kitaguchi, Shin Kobayashi, et al.
Surgical Endoscopy (2024)
Closed Access
Artificial Intelligence in Shoulder Arthroscopy
Marco‐Christopher Rupp, Annabel R. Geissbuhler, Grant J. Dornan, et al.
(2024), pp. 105-117
Closed Access
Prevention and Management of Recurrent Laryngeal Nerve Palsy in Minimally Invasive Esophagectomy: Current Status and Future Perspectives
Yusuke Taniyama, Hiroshi Okamoto, Chiaki Sato, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 24, pp. 7611-7611
Open Access
Surgical Navigation System
Yuichiro Hayashi
Journal of Japan Society of Computer Aided Surgery (2023) Vol. 25, Iss. 2, pp. 47-49
Closed Access
内視鏡外科手術動画を活用したAI開発の現状
Nobuyoshi Takeshita, Masaaki Ito
Journal of Japan Society of Computer Aided Surgery (2023) Vol. 25, Iss. 2, pp. 53-55
Closed Access
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