World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
93
Citations
29837
World Ranking
529
National Ranking
282

Overview

Naixue Xiong is affiliated with Sul Ross State University in the United States. Their work predominantly spans the fields of Computer Science and Engineering, with a specific focus on subfields such as Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems, and Electrical and Electronic Engineering.

Their recent research publications reflect a strong interest in data security, privacy, and intelligent systems. Notable papers include:

  • Data Security and Privacy Protection for Cloud Storage: A Survey, 2020, IEEE Access
  • Anomaly Detection Based on Convolutional Recurrent Autoencoder for IoT Time Series, 2020, IEEE Transactions on Systems Man and Cybernetics Systems
  • PPSF: A Privacy-Preserving and Secure Framework Using Blockchain-Based Machine-Learning for IoT-Driven Smart Cities, 2021, IEEE Transactions on Network Science and Engineering
  • Learning Knowledge Graph Embedding With Heterogeneous Relation Attention Networks, 2021, IEEE Transactions on Neural Networks and Learning Systems
  • A Survey on Knowledge Graph Embedding: Approaches, Applications and Benchmarks, 2020, Electronics

These works cover a range of topics from cloud storage security and anomaly detection in IoT time series data to the application of blockchain and machine learning in smart cities, as well as knowledge graph embedding techniques.

Frequent co-authors collaborating with Naixue Xiong include:

  • Anfeng Liu
  • Shaobo Zhang
  • Tian Wang
  • Wei Liang
  • Mianxiong Dong

The scientist publishes frequently in several journals, often contributing multiple articles to the following venues:

  • IEEE Internet of Things Journal
  • Information Sciences
  • IEEE Access
  • IEEE Transactions on Network Science and Engineering
  • Electronics

The main research topics covered by Naixue Xiong include:

  • IoT and Edge/Fog Computing
  • Privacy-Preserving Technologies in Data
  • Blockchain Technology Applications and Security
  • Mobile Crowdsensing and Crowdsourcing
  • Cryptography and Data Security
  • Advanced Neural Network Applications
  • Advanced Steganography and Watermarking Techniques

Best Publications

  • A game-theoretic method of fair resource allocation for cloud computing services

    Guiyi Wei;Athanasios V. Vasilakos;Yao Zheng;Naixue Xiong

  • Data Security and Privacy Protection for Cloud Storage: A Survey

    Pan Yang;Naixue Xiong;Jingli Ren

  • Steganalysis of LSB matching using differences between nonadjacent pixels

    Zhihua Xia;Xinhui Wang;Xingming Sun;Quansheng Liu

  • Anomaly Detection Based on Convolutional Recurrent Autoencoder for IoT Time Series

    Chunyong Yin;Sun Zhang;Jin Wang;Neal N. Xiong

  • Spatio-temporal deep learning method for ADHD fMRI classification

    Zhenyu Mao;Yi Su;Guangquan Xu;Xueping Wang

  • PPSF: A Privacy-Preserving and Secure Framework Using Blockchain-Based Machine-Learning for IoT-Driven Smart Cities

    Prabhat Kumar;Randhir Kumar;Gautam Srivastava;Govind P. Gupta

  • Learning Knowledge Graph Embedding With Heterogeneous Relation Attention Networks

    Unknown

  • Delegated Proof of Stake With Downgrade: A Secure and Efficient Blockchain Consensus Algorithm With Downgrade Mechanism

    Unknown

  • VMPlanner: Optimizing virtual machine placement and traffic flow routing to reduce network power costs in cloud data centers

    Weiwei Fang;Xiangmin Liang;Shengxin Li;Luca Chiaraviglio

  • Multi-sensor management for information fusion: issues and approaches

    Unknown

  • Data prediction, compression, and recovery in clustered wireless sensor networks for environmental monitoring applications

    Mou Wu;Liansheng Tan;Naixue Xiong

  • An adaptive federated learning scheme with differential privacy preserving

    Unknown

  • A novel IoT network intrusion detection approach based on Adaptive Particle Swarm Optimization Convolutional Neural Network

    Unknown

  • SG-PBFT: A secure and highly efficient distributed blockchain PBFT consensus algorithm for intelligent Internet of vehicles

    Unknown

  • EPCBIR: An efficient and privacy-preserving content-based image retrieval scheme in cloud computing

    Zhihua Xia;Neal N. Xiong;Athanasios V. Vasilakos;Xingming Sun

  • TPGF: geographic routing in wireless multimedia sensor networks

    Lei Shu;Yan Zhang;Laurence T. Yang;Yu Wang

  • A Survey on Knowledge Graph Embedding: Approaches, Applications and Benchmarks

    Yuanfei Dai;Shiping Wang;Neal N. Xiong;Wenzhong Guo

  • VFL: A Verifiable Federated Learning with Privacy-Preserving for Big Data in Industrial IoT

    Anmin Fu;Xianglong Zhang;Naixue Xiong;Yansong Gao

  • EDMF: Efficient Deep Matrix Factorization With Review Feature Learning for Industrial Recommender System

    Unknown

  • A Time-Driven Data Placement Strategy for a Scientific Workflow Combining Edge Computing and Cloud Computing

    Bing Lin;Fangning Zhu;Jianshan Zhang;Jiaqing Chen

  • Multi-layer clustering routing algorithm for wireless vehicular sensor networks

    Yuhua Liu;Naixue Xiong;Yongfeng Zhao;Athanasios V. Vasilakos

  • Comparative analysis of quality of service and memory usage for adaptive failure detectors in healthcare systems

    Naixue Xiong;A. Vasilakos;L. Yang;Lingyang Song

  • Robust Cyber-Physical Systems

    Fei Hu;Yu Lu;Athanasios V. Vasilakos;Qi Hao

  • 4S: A secure and privacy-preserving key management scheme for cloud-assisted wireless body area network in m-healthcare social networks

    Jun Zhou;Zhenfu Cao;Zhenfu Cao;Xiaolei Dong;Xiaolei Dong;Naixue Xiong

  • Design and Analysis of Multimodel-Based Anomaly Intrusion Detection Systems in Industrial Process Automation

    Chunjie Zhou;Shuang Huang;Naixue Xiong;Shuang-Hua Yang

  • Deep Matrix Factorization With Implicit Feedback Embedding for Recommendation System

    Baolin Yi;Xiaoxuan Shen;Hai Liu;Zhaoli Zhang

  • A Fuzzy Probability Bayesian Network Approach for Dynamic Cybersecurity Risk Assessment in Industrial Control Systems

    Qi Zhang;Chunjie Zhou;Yu-Chu Tian;Naixue Xiong

  • A Dimensionality Reduction-Based Multi-Step Clustering Method for Robust Vessel Trajectory Analysis

    Huanhuan Li;Jingxian Liu;Ryan Wen Liu;Naixue Xiong

  • Learning Sparse Representation With Variational Auto-Encoder for Anomaly Detection

    Jiayu Sun;Xinzhou Wang;Naixue Xiong;Jie Shao

  • A Pedestrian Detection Method Based on Genetic Algorithm for Optimize XGBoost Training Parameters

    Yu Jiang;Guoxiang Tong;Henan Yin;Naixue Xiong

Frequent Co-Authors

Athanasios V. Vasilakos
Athanasios V. Vasilakos University of Agder
Laurence T. Yang
Laurence T. Yang St. Francis Xavier University
Jong Hyuk Park
Jong Hyuk Park Seoul National University of Science and Technology
Wenzhong Guo
Wenzhong Guo Fuzhou University
Yingshu Li
Yingshu Li Georgia State University
Changhoon Lee
Changhoon Lee Seoul National University
Tai-hoon Kim
Tai-hoon Kim Beijing Jiaotong University
Lei Shu
Lei Shu Nanjing Agricultural University
Anfeng Liu
Anfeng Liu Central South University
Hong Shen
Hong Shen Sun Yat-sen University

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