Incorporation of formal safety assessment and Bayesian network in navigational risk estimation of the Yangtze River. - Di Zhang 008; Xinping Yan; Zaili Yang; Alan D. Wall; Jin Wang 042 (Reliab. Eng. Syst. Saf., 2013)

Current status and framework of China's inland passenger ship safety system. - Shiqi Fan; Di Zhang 008; Eduardo Blanco-Davis; Jin Wang 042; Ming Huang; Fan Zhang; Xinping Yan (LISS, 2016)

Towards a probabilistic model for predicting ship besetting in ice in Arctic waters. - Shanshan Fu; Di Zhang 008; Jakub Montewka; Xinping Yan; Enrico Zio (Reliab. Eng. Syst. Saf., 2016)

Safety management of waterway congestions under dynamic risk conditions - A case study of the Yangtze River. - Xinping Yan; Chengpeng Wan; Di Zhang 008; Zaili Yang (Appl. Soft Comput., 2017)

A risk comparison framework for autonomous ships navigation. - Cunlong Fan; Jakub Montewka; Di Zhang 008 (Reliab. Eng. Syst. Saf., 2022)

A predictive analytics method for maritime traffic flow complexity estimation in inland waterways. - Mingyang Zhang; Di Zhang 008; Shanshan Fu; Pentti Kujala; Spyros Hirdaris (Reliab. Eng. Syst. Saf., 2022)

The Model of Ship Navigation Risk Field for Risk Assessment of Icebreaker Convoy Operations. - Di Zhang 008; Jiru Han; Da Wu; Wengang Mao (IEEE Trans. Intell. Transp. Syst., 2024)

Systems driven intelligent decision support methods for ship collision and grounding prevention: Present status, possible solutions, and challenges. - Mingyang Zhang; Ghalib Taimuri; Jinfen Zhang; Di Zhang 008; Xinping Yan; Pentti Kujala; Spyros Hirdaris (Reliab. Eng. Syst. Saf., 2025)