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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 93 529 513 283 273 984 29837

Naixue Xiong publications per year

The chart shows the history of publications by Naixue Xiong between 1999 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Naixue Xiong published across 28 years, from 1999 to 2026, averaging 40.4 papers a year. Output peaked at 137 publications in 2021. 58 of the 1,130 publications appeared in the last two years.

No. of publications
25 50 75 100 125
Bar chart. Horizontal axis: year, 1999 to 2026. Vertical axis: number of publications, 0 to 137. Peak 137 publications in 2021. 1999: 1 publication 2000: 0 publications 2001: 2 publications 2002: 5 publications 2003: 1 publication 2004: 4 publications 2005: 7 publications 2006: 13 publications 2007: 4 publications 2008: 37 publications 2009: 38 publications 2010: 52 publications 2011: 34 publications 2012: 28 publications 2013: 35 publications 2014: 25 publications 2015: 33 publications 2016: 43 publications 2017: 46 publications 2018: 93 publications 2019: 107 publications 2020: 102 publications 2021: 137 publications 2022: 67 publications 2023: 87 publications 2024: 71 publications 2025: 56 publications 2026: 2 publications
1999 2026

1,130 publications in total across all disciplines

View publications per year as a table
Naixue Xiong: publications per year, 1999 to 2026
Year Publications
1999 1
2000 0
2001 2
2002 5
2003 1
2004 4
2005 7
2006 13
2007 4
2008 37
2009 38
2010 52
2011 34
2012 28
2013 35
2014 25
2015 33
2016 43
2017 46
2018 93
2019 107
2020 102
2021 137
2022 67
2023 87
2024 71
2025 56
2026 2
Total 1,130
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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.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 982–990 publications, is where this scientist sits. 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
32–41 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.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5 984
991+ 100
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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.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 92–93 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57 93
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
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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

  • 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

  • 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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