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Cited by in CrossRef
For: Zhou XC, Guan SW, Ke FY, Dhamija G, Wang Q, Chen BF. Construction of a nomogram model to predict technical difficulty in performing laparoscopic sphincter-preserving radical resection for rectal cancer. World J Gastroenterol 2024; 30(18): 2418-2439 [PMID: 38764764 DOI: 10.3748/wjg.v30.i18.2418]
URL: https://www.wjgnet.com/2218-5836/full/v30/i18/2418.htm
Number Citing Articles
1
Zhen Wang, Lei Huang, Liang He, Shuang Li, Siyu Peng, Yang Gong, Dongmei Mu, Quan Wang. Machine learning model for predicting a high comprehensive complication index following rectal cancer surgeryUpdates in Surgery 2025;  doi: 10.1007/s13304-025-02401-z
2
Wenbo Shang, Fazheng Luo, Wei Wang, Xiaoqin Liu, Bokai Li. A Microservice Association Model Approach2024 IEEE 7th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) 2024; : 1059 doi: 10.1109/ITNEC60942.2024.10733022