Quantitatively analysis of train communication network based on multi-attribute utility function. - Honghui Dong; Xianpeng Xia; Limin Jia 002; Yin Tian; Haijian Li; Junqing Tang; Yong Qin 002 (ITSC, 2014)

Modeling Stock Survivability Resilience in Signed Temporal Networks: A Study from London Stock Exchange. - Junqing Tang; Layla Khoja; Hans Rudolf Heinimann (COMPLEX NETWORKS, 2017)

Tracking Differentiator via Time Criterion. - Hehong Zhang; Yunde Xie; Gaoxi Xiao; Chao Zhai 002; Zhiqiang Long; Huangwei Kang; Junqing Tang (ACC, 2018)

Characterisation of survivability resilience with dynamic stock interdependence in financial networks. - Junqing Tang; Layla Khoja; Hans Rudolf Heinimann (Appl. Netw. Sci., 2018)

Two-Layer Hierarchy Optimization Model for Communication Protocol in Railway Wireless Monitoring Networks. - Xiaoping Ma; Honghui Dong; Junqing Tang; Limin Jia 002; Yong Qin 002; Ruijun Cheng (Wirel. Commun. Mob. Comput., 2018)

Evaluating resilience in urban transportation systems for sustainability: A systems-based Bayesian network model. - Junqing Tang; Hans Rudolf Heinimann; Ke Han; Hanbin Luo; Botao Zhong (CoRR, 2019)

Adaptive Optimization of Multi-Hop Communication Protocol for Linear Wireless Monitoring Networks on High-Speed Railways. - Xiao-Ping Ma; Honghui Dong; Peng Li 007; Limin Jia 002; Xiang Liu 006; Yong Qin 002; Junqing Tang (IEEE Trans. Intell. Transp. Syst., 2019)

A building regulation question answering system: A deep learning methodology. - Botao Zhong; Wanlei He; Ziwei Huang; Peter E. D. Love; Junqing Tang; Hanbin Luo (Adv. Eng. Informatics, 2020)

Exploring Resilient Observability in Traffic-Monitoring Sensor Networks: A Study of Spatial-Temporal Vehicle Patterns. - Junqing Tang; Li Wan 006; Timea Nochta; Jennifer Schooling; Tianren Yang (ISPRS Int. J. Geo Inf., 2020)

Multi-disruption resilience assessment of rail transit systems with optimized commuter flows. - Junqing Tang; Lei Xu; Chunling Luo; Tsan Sheng Adam Ng (Reliab. Eng. Syst. Saf., 2021)

Optimizing Systemic Redundancy of Traffic Sensor Networks While Maintaining Resilience: New Evidence From Using Graph Learning. - Junqing Tang; Shufen Wei; Duo Li; Xiaowei Li (IEEE Syst. J., 2023)

Predicting human mobility flows in response to extreme urban floods: A hybrid deep learning model considering spatial heterogeneity. - Junqing Tang; Jing Wang; Jiaying Li; Pengjun Zhao; Wei Lyu; Wei Zhai; Li Yuan; Li Wan 006; Chenyu Yang (Comput. Environ. Urban Syst., 2024)

Toward Resilient Electric Vehicle Charging Monitoring Systems: Curriculum Guided Multi-Feature Fusion Transformer. - Duo Li; Junqing Tang; Bei Zhou; Peng Cao; Jia Hu 003; Man-Fai Leung; Yonggang Wang (IEEE Trans. Intell. Transp. Syst., 2024)

Uncovering human behavioral heterogeneity in urban mobility under the impacts of disruptive weather events. - Zhaoya Gong; Zhicheng Deng; Junqing Tang; Hongbo Zhao; Zhengying Liu; Pengjun Zhao (Int. J. Geogr. Inf. Sci., 2025)

Field-theory inspired physics-informed graph neural network for reliable traffic flow prediction under urban flooding. - Xuhui Lin; Qiuchen Lu; Pengjun Zhao; Long Chen; Junqing Tang; Dabo Guan; Tim Broyd (Reliab. Eng. Syst. Saf., 2026)