World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
93
Citations
29837
World Ranking
529
National Ranking
283

Naixue Xiong publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Naixue Xiong sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 984 publications — 99th percentile

99% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Naixue Xiong D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Naixue Xiong sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 93 D-Index — 97th percentile

97% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

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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