Small molecule annotation for the Protein Data Bank. - Sanchayita Sen; Jasmine Young; John M. Berrisford; Minyu Chen; Matthew J. Conroy; Shuchismita Dutta; Luigi Di Costanzo; Guanghua Gao; Sutapa Ghosh; Brian P. Hudson; Reiko Igarashi; Yumiko Kengaku; et al. (Database J. Biol. Databases Curation, 2014)

Worldwide Protein Data Bank biocuration supporting open access to high-quality 3D structural biology data. - Jasmine Young; John D. Westbrook; Zukang Feng; Ezra Peisach; Irina Persikova; Raul Sala; Sanchayita Sen; John M. Berrisford; Jawahar Swaminathan; Thomas J. Oldfield; Aleksandras Gutmanas; Reiko Igarashi; et al. (Database J. Biol. Databases Curation, 2018)

Stability Analysis of Fuzzy Sampled Data System. - Lihua Tan; Xin Wang 028; Junjian Huang (SSCI, 2019)

RCSB Protein Data Bank: biological macromolecular structures enabling research and education in fundamental biology, biomedicine, biotechnology and energy. - Stephen K. Burley; Helen M. Berman; Charmi Bhikadiya; Chunxiao Bi; Li Chen 022; Luigi Di Costanzo; Cole H. Christie; Kenneth Dalenberg; Jose M. Duarte; Shuchismita Dutta; Zukang Feng; Sutapa Ghosh; et al. (Nucleic Acids Res., 2019)

Neural Network-Based Event-Triggered Adaptive Control Algorithms for Uncertain Nonlinear Systems with Actuator Failures. - Lihua Tan; Chuandong Li 001; Junjian Huang (Cogn. Comput., 2020)

Output feedback leader-following consensus for nonlinear stochastic multiagent systems: The event-triggered method. - Lihua Tan; Chuandong Li 001; Junjian Huang; Tingwen Huang (Appl. Math. Comput., 2021)

Sampled-based adaptive event-triggered resilient control for multiagent systems with hybrid cyber-attacks. - Lihua Tan; Xin Wang 028 (Neural Networks, 2024)

On the Cauchy Problem for the Vlasov-Maxwell-Fokker-Planck System in Low Regularity Space. - Yingzhe Fan; Lihua Tan (Symmetry, 2024)

Output Feedback-Based Consensus for Nonlinear Multiagent Systems: The Event-Triggered Communication Strategy. - Lihua Tan; Xin Wang 028; Chuandong Li 001; Xing He 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Finite-Time Neuro-adaptive Controller Algorithms for Nonlinear Multiagent Systems with State Constraints and Unmodeled Dynamics. - Lihua Tan; Xin Wang 028 (Cogn. Comput., 2024)

Cervical-YOSA: Utilizing prompt engineering and pre-trained large-scale models for automated segmentation of multi-sequence MRI images in cervical cancer. - Yanwei Xia; Zhengjie Ou; Lihua Tan; Qiang Liu; Yanfen Cui; Da Teng; Dan Zhao (IET Image Process., 2024)

An exploratory process mining on students' complex problem-solving behavior: The distinct patterns and related factors. - Lihua Tan; Bing Wei; Fu Chen (Comput. Educ., 2025)

Transforming educational data analytics: developing a reinforcement learning framework for real-time decision-making and resource optimisation. - Lihua Tan (Int. J. Inf. Commun. Technol., 2025)

Event-triggered optimized control for multiagent systems with input saturation from reinforcement learning viewpoint. - Lihua Tan; Le You; Junjian Huang; Xin Wang 028 (Neurocomputing, 2025)

Low complexity fault-tolerant formation control for autonomous underwater vehicles with global prescribed-time performance. - Yiwei Liu; Xin Wang 028; Ning Pang; Lihua Tan (J. Frankl. Inst., 2025)

Prescribed-Time Optimal Consensus for Switched Stochastic Multiagent Systems: Reinforcement Learning Strategy. - Weiwei Guang; Xin Wang 028; Lihua Tan; Jian Sun 014; Tingwen Huang (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Observer-Based Event-Triggered Optimal Control for Nonlinear Multiagent Systems With Input Delay via Reinforcement Learning Strategy. - Xin Wang 028; Yujie Liao; Lihua Tan; Wei Zhang 102; Huaqing Li 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)