A Domain-Driven Literature Retrieval Method for Systematic Brain Informatics. - Wenjin Sheng; Hongxia Xu; Jianzhuo Yan; Jianhui Chen; Bin Shi; Dongsheng Wang 006; Hongzhi Kuai; Ningning Wang (BIH, 2016)

Emotion Recognition from EEG Using Rhythm Synchronization Patterns with Joint Time-Frequency-Space Correlation. - Hongzhi Kuai; Hongxia Xu; Jianzhuo Yan (BI, 2017)

A knowledge-driven approach for personalized literature recommendation based on deep semantic discrimination. - Hongzhi Kuai; Jianzhuo Yan; Jianhui Chen; Yongchuan Yu; Haiyuan Wang; Ning Zhong 001 (WI, 2017)

Connectivity Shifted Cerebral Regions as Seeds for Mental Arithmetic Cognitive State Classification. - Xiaofei Zhang; Ruohao Liu; Jiajin Huang; Yang Yang 051; Hongzhi Kuai; Ning Zhong 001 (AIAM (IEEE), 2019)

Specificity Analysis of Picture-Induced Emotional EEG for Discrimination Between Schizophrenic and Control Participants. - Hongzhi Kuai; Yang Yang 051; Jianhui Chen; Xiaofei Zhang; Jianzhuo Yan; Ning Zhong 001 (BI, 2019)

Analyzing Emotional Oscillatory Brain Network for Valence and Arousal-Based Emotion Recognition Using EEG Data. - Jianzhuo Yan; Hongzhi Kuai; Jianhui Chen; Ning Zhong 001 (Int. J. Inf. Technol. Decis. Mak., 2019)

THINKING-LOOP: The Semantic Vector Driven Closed-Loop Model for Brain Computing. - Hongzhi Kuai; Xiaofei Zhang; Yang Yang 051; Jianhui Chen; Bin Shi; Ning Zhong 001 (IEEE Access, 2020)

The extensible Data-Brain model: Architecture, applications and directions. - Hongzhi Kuai; Ning Zhong 001 (J. Comput. Sci., 2020)

Exploring the Brain Information Processing Mechanisms from Functional Connectivity to Translational Applications. - Hongzhi Kuai; Jianhui Chen; Xiaohui Tao 001; Kazuyuki Imamura; Peipeng Liang; Ning Zhong 001 (BI, 2021)

Multi-source brain computing with systematic fusion for smart health. - Hongzhi Kuai; Ning Zhong 001; Jianhui Chen; Yang Yang 051; Xiaofei Zhang; Peipeng Liang; Kazuyuki Imamura; Lianfang Ma; Haiyuan Wang (Inf. Fusion, 2021)

Enhancing the MR Neuroimaging by Using the Deep Super-Resolution Reconstruction. - Yu Cao; Hongzhi Kuai; Guanqiao Peng (BI, 2022)

Web Intelligence meets Brain Informatics: Towards the future of artificial intelligence in the connected world. - Hongzhi Kuai; Xiaohui Tao 001; Ning Zhong 001 (World Wide Web, 2022)

NetFeatures-Transformer: Enhancing Brain Network Features to Classify Alzheimer's Disease. - Yu Cao; Hongzhi Kuai; Ning Zhong 001; Bixin Wang; Fengmei Fan; Jianzhuo Yan (WI/IAT, 2023)

Thinking space generation using context-enhanced knowledge fusion for systematic brain computing. - Hongzhi Kuai; Xiaohui Tao 001; Ning Zhong 001 (Web Intell., 2023)

Dual-Structural Representation Learning with Attention-Based Graph Fusion for Hierarchical MCI-AD Diagnosis. - Yu Cao; Hongzhi Kuai; Bixin Wang; Fengmei Fan; Guanqiao Peng; Ning Zhong 001 (BI (1), 2024)

20 years of Web Intelligence: Call for a new era of AI in the Connected World. - Hongzhi Kuai; Xiaohui Tao 001 (Web Intell., 2024)

Addiction-related brain networks identification via Graph Diffusion Reconstruction Network. - Changhong Jing; Hongzhi Kuai; Hiroki Matsumoto; Tomoharu Yamaguchi; Iman Yi Liao; Shuqiang Wang (Brain Informatics, 2024)

Web Intelligence (WI) 3.0: in search of a better-connected world to create a future intelligent society. - Hongzhi Kuai; Jimmy X. Huang; Xiaohui Tao 001; Gabriella Pasi; Yiyu Yao; Jiming Liu 001; Ning Zhong 001 (Artif. Intell. Rev., 2025)