Nanjing Institute of Technology

output

20072026

most citedArchitectural Design Alternatives based on Cloud/Edge/Fog Computing for Connected Vehicles

185 citations

41 papers

eess.SY2026

When voltage sensors fail: Electrochemically constrained fault-tolerant state estimation for flat-plateau LFP batteries

Feng Guo, Luis D. Couto, Hamid Hamed +5

The flat voltage plateau of lithium iron phosphate (LFP)/graphite cells makes electrochemical-state errors and voltage-measurement abnormalities produce similar innovations, compli…

eess.SY2026★ 1 cited

Physics-guided residual Kalman learning for state-of-charge estimation of lithium iron phosphate batteries

Feng Guo, Luis D. Couto, Khiem Trad +3

Accurate state of charge (SOC) estimation of lithium iron phosphate (LFP) batteries remains challenging because of their flat open-circuit-voltage (OCV)-SOC characteristics, temper…

hep-ph2026

Contributions of the subprocesses $ρ (770, 1450, 1700) \to K K ˉ$ and $ω (782, 1420, 1650) \to K K ˉ$ for the three-body decays $B \to η^{(')} K K ˉ$

Ming-Yue Jia, Jia-Xin Wang, Li-Fei Yang +2

As an extension of our prior work, we analyze the resonance contributions for the kaon pair originating from the intermediate $ρ (770)$ , $ω (782)$ and their excited states in the thr…

hep-ph2025★ 2 cited

The kaon off-shell generalized parton distributions and transverse momentum dependent parton distributions

Jin-Li Zhang

We investigate the off-shell generalized parton distributions (GPDs) {and transverse momentum dependent parton distributions (TMDs)} of kaons within the framework of the Nambu--Jon…

hep-ph2025

The virtual contributions from $K^{}$ in the $B \to K^{} π h$ and $B \to K ρ h$ decays

Ai-Jun Ma, Wen-Fei Wang

Inspired by the significant virtual contributions of the subprocesses $D^{*} / B^{*} \to D π$ and $ρ \to ω π / K K ˉ$ in the three-body hadronic $B$ meson decays, we study the off-shell…

cs.SI2025★ 23 cited

Critical Nodes Identification in Complex Networks: A Survey

Duxin Chen, Jiawen Chen, Xiaoyu Zhang +5

Complex networks have become essential tools for understanding diverse phenomena in social systems, traffic systems, biomolecular systems, and financial systems. Identifying critic…