World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
8407
World Ranking
5688
National Ranking
752

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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