World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
8407
World Ranking
5689
National Ranking
752

Xiangjie Kong 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 Xiangjie Kong 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: 159 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Xiangjie Kong 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 Xiangjie Kong 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: 50 D-Index — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Overview

Xiangjie Kong is affiliated with Zhejiang University of Technology in China and has contributed extensively to the fields of computer science and engineering. Their research output includes areas such as artificial intelligence, transportation, building and construction, information systems, and computer networks and communications.

With a focus on topics related to traffic prediction and management techniques, human mobility and location-based analysis, recommender systems and techniques, advanced graph neural networks, transportation planning and optimization, anomaly detection techniques and applications, and privacy-preserving technologies in data, their work intersects multiple domains of modern computing and intelligent systems.

The scientist's recent publications include:

  • "Realizing the Potential of the Internet of Things for Smart Tourism with 5G and AI", 2020, IEEE Network
  • "Multimodal sentiment analysis based on fusion methods: A survey", 2023, Information Fusion
  • "Edge Computing for Internet of Everything: A Survey", 2022, IEEE Internet of Things Journal
  • "Vehicle Trajectory Clustering Based on Dynamic Representation Learning of Internet of Vehicles", 2020, IEEE Transactions on Intelligent Transportation Systems
  • "Deep Reinforcement Learning-Based Energy-Efficient Edge Computing for Internet of Vehicles", 2022, IEEE Transactions on Industrial Informatics

Collaborating frequently with other researchers, Xiangjie Kong has worked alongside Guojiang Shen, Feng Xia, Linan Zhu, Mingliang Hou, and Zhi Liu in various capacities. These partnerships contribute to the breadth and depth of their academic pursuits.

They have been published in prominent venues such as arXiv (Cornell University), PeerJ Computer Science, IEEE Transactions on Intelligent Transportation Systems, Knowledge-Based Systems, and IEEE Transactions on Industrial Informatics. These platforms reflect the diverse audience and fields engaged by their research.

In addition to journal articles, Xiangjie Kong has a forthcoming book titled Cross-device Federated Recommendation, scheduled for publication in 2025 by Springer Nature.

Best Publications

  • A Cooperative Partial Computation Offloading Scheme for Mobile Edge Computing Enabled Internet of Things

    Zhaolong Ning;Peiran Dong;Xiangjie Kong;Feng Xia

  • Vehicular Social Networks: Enabling Smart Mobility

    Zhaolong Ning;Feng Xia;Noor Ullah;Xiangjie Kong

  • A Survey of Collaborative Filtering-Based Recommender Systems: From Traditional Methods to Hybrid Methods Based on Social Networks

    Rui Chen;Qingyi Hua;Yan-Shuo Chang;Bo Wang

  • Urban traffic congestion estimation and prediction based on floating car trajectory data

    Xiangjie Kong;Zhenzhen Xu;Guojiang Shen;Jinzhong Wang

  • Realizing the Potential of Internet of Things for Smart Tourism with 5G and AI

    Wei Wang;Neeraj Kumar;Junxin Chen;Zhiguo Gong

  • Artificial Intelligence in the 21st Century

    Jiaying Liu;Xiangjie Kong;Feng Xia;Xiaomei Bai

  • Random Walks: A Review of Algorithms and Applications

    Feng Xia;Jiaying Liu;Hansong Nie;Yonghao Fu

  • Scientific Paper Recommendation: A Survey

    Xiaomei Bai;Mengyang Wang;Ivan Lee;Zhuo Yang

  • Academic social networks: Modeling, analysis, mining and applications

    Xiangjie Kong;Yajie Shi;Shuo Yu;Jiaying Liu

  • Green and Sustainable Cloud of Things: Enabling Collaborative Edge Computing

    Zhaolong Ning;Xiangjie Kong;Feng Xia;Weigang Hou

  • LoTAD: long-term traffic anomaly detection based on crowdsourced bus trajectory data

    Xiangjie Kong;Ximeng Song;Feng Xia;Haochen Guo

  • Deep Reinforcement Learning for Intelligent Internet of Vehicles: An Energy-Efficient Computational Offloading Scheme

    Zhaolong Ning;Peiran Dong;Xiaojie Wang;Lei Guo

  • Vehicle Trajectory Clustering Based on Dynamic Representation Learning of Internet of Vehicles

    Wei Wang;Feng Xia;Hansong Nie;Zhikui Chen

  • Mobility Dataset Generation for Vehicular Social Networks Based on Floating Car Data

    Xiangjie Kong;Feng Xia;Zhaolong Ning;Azizur Rahim

  • Phone2Cloud: Exploiting computation offloading for energy saving on smartphones in mobile cloud computing

    Feng Xia;Fangwei Ding;Jie Li;Xiangjie Kong

  • Time-Location-Relationship Combined Service Recommendation Based on Taxi Trajectory Data

    Xiangjie Kong;Feng Xia;Jinzhong Wang;Azizur Rahim

  • Vehicular Social Networks: A Survey

    Azizur Rahim;Xiangjie Kong;Feng Xia;Zhaolong Ning

  • Exploring Human Mobility Patterns in Urban Scenarios: A Trajectory Data Perspective

    Feng Xia;Jinzhong Wang;Xiangjie Kong;Zhibo Wang

  • Context-Based Collaborative Filtering for Citation Recommendation

    Haifeng Liu;Xiangjie Kong;Xiaomei Bai;Wei Wang

  • A Social-Aware Group Formation Framework for Information Diffusion in Narrowband Internet of Things

    Zhaolong Ning;Xiaojie Wang;Xiangjie Kong;Weigang Hou

  • Mobile Crowdsourcing in Smart Cities: Technologies, Applications, and Future Challenges

    Xiangjie Kong;Xiaoteng Liu;Behrouz Jedari;Menglin Li

  • VOPRec: Vector Representation Learning of Papers with Text Information and Structural Identity for Recommendation

    Xiangjie Kong;Mengyi Mao;Wei Wang;Jiaying Liu

Frequent Co-Authors

Feng Xia
Feng Xia RMIT University
Zhaolong Ning
Zhaolong Ning Chongqing University of Posts and Telecommunications
Amr Tolba
Amr Tolba King Saud University
Bo Xu
Bo Xu Nanjing University of Science and Technology
Jianhua Ma
Jianhua Ma Hosei University
Xiping Hu
Xiping Hu Lanzhou University
Lei Wang
Lei Wang University of California, San Francisco
Sajal K. Das
Sajal K. Das Missouri University of Science and Technology
Lei Guo
Lei Guo Beijing University of Posts and Telecommunications
Haifeng Liu
Haifeng Liu Tianjin University

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