World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
59
Citations
11397
World Ranking
3480
National Ranking
1677

Overview

Kun Wang is affiliated with the University of California, Los Angeles in the United States. Their research spans multiple fields including Health Professions, Physics and Astronomy, and Arts and Humanities, with particular focus on several interdisciplinary topics.

Wang's scholarly contributions include work in the following main fields of study:

  • Health Professions (4 publications)
  • Physics and Astronomy (3 publications)
  • Arts and Humanities (2 publications)

The subfields of study covered by Wang involve:

  • General Health Professions (4 publications)
  • Astronomy and Astrophysics (2 publications)
  • Philosophy (2 publications)
  • Instrumentation (1 publication)

Their research addresses key topics such as:

  • Hermeneutics and Narrative Identity (4 publications)
  • Aging, Elder Care, and Social Issues (4 publications)
  • Health, Medicine and Society (4 publications)
  • Stellar, planetary, and galactic studies (2 publications)
  • Astronomy and Astrophysical Research (2 publications)
  • Gamma-ray bursts and supernovae (2 publications)

Kun Wang has published research in these venues:

  • The Astrophysical Journal Supplement Series (1 publication)
  • International Journal of Computer Vision (1 publication)

Recent papers include:

  • Unveiling Hidden Stellar Aggregates in the Milky Way: 1656 New Star Clusters Found in Gaia EDR3, 2022, The Astrophysical Journal Supplement Series
  • Bamboo: Building Mega-Scale Vision Dataset Continually with Human-Machine Synergy, 2025, International Journal of Computer Vision

Frequent collaborators in Wang's work are:

  • Zhihong He
  • Xiaochen Liu
  • Yangping Luo
  • Qing-Quan Jiang
  • Zhiqiang Yan

Best Publications

  • Green Industrial Internet of Things Architecture: An Energy-Efficient Perspective

    Kun Wang;Yihui Wang;Yanfei Sun;Song Guo

  • A Survey on Energy Internet: Architecture, Approach, and Emerging Technologies

    Kun Wang;Jun Yu;Yan Yu;Yirou Qian

  • A Comprehensive Survey of Blockchain: From Theory to IoT Applications and Beyond

    Mingli Wu;Kun Wang;Xiaoqin Cai;Song Guo

  • $\mathsf{LightChain}$ : A Lightweight Blockchain System for Industrial Internet of Things

    Yinqiu Liu;Kun Wang;Yun Lin;Wenyao Xu

  • Making Big Data Open in Edges: A Resource-Efficient Blockchain-Based Approach

    Chenhan Xu;Kun Wang;Peng Li;Song Guo

  • Energy big data: A survey

    Hui Jiang;Kun Wang;Yihui Wang;Min Gao

  • Enabling FPGAs in the cloud

    Fei Chen;Yi Shan;Yu Zhang;Yu Wang

  • Robust Big Data Analytics for Electricity Price Forecasting in the Smart Grid

    Kun Wang;Chenhan Xu;Yan Zhang;Song Guo

  • Strategic Honeypot Game Model for Distributed Denial of Service Attacks in the Smart Grid

    Kun Wang;Miao Du;Sabita Maharjan;Yanfei Sun

  • Traffic and Computation Co-Offloading With Reinforcement Learning in Fog Computing for Industrial Applications

    Yixuan Wang;Kun Wang;Huawei Huang;Toshiaki Miyazaki

  • Green Resource Allocation Based on Deep Reinforcement Learning in Content-Centric IoT

    Xiaoming He;Kun Wang;Huawei Huang;Toshiaki Miyazaki

  • Intelligent Resource Management in Blockchain-Based Cloud Datacenters

    Chenhan Xu;Kun Wang;Mingyi Guo

  • Big Data Cleaning Based on Mobile Edge Computing in Industrial Sensor-Cloud

    Tian Wang;Haoxiong Ke;Xi Zheng;Kun Wang

  • An Energy-Efficient Reliable Data Transmission Scheme for Complex Environmental Monitoring in Underwater Acoustic Sensor Networks

    Kun Wang;Hui Gao;Xiaoling Xu;Jinfang Jiang

  • Big Data Privacy Preserving in Multi-Access Edge Computing for Heterogeneous Internet of Things

    Miao Du;Kun Wang;Yuanfang Chen;Xiaoyan Wang

  • Wireless Big Data Computing in Smart Grid

    Kun Wang;Yunqi Wang;Xiaoxuan Hu;Yanfei Sun

  • A Game Theory-Based Energy Management System Using Price Elasticity for Smart Grids

    Kun Wang;Zhiyou Ouyang;Rahul Krishnan;Lei Shu

  • Mobile big data fault-tolerant processing for ehealth networks

    Kun Wang;Yun Shao;Lei Shu;Chunsheng Zhu

  • Edge QoE: Computation Offloading With Deep Reinforcement Learning for Internet of Things

    Haodong Lu;Xiaoming He;Miao Du;Xiukai Ruan

  • Big Data Analytics for System Stability Evaluation Strategy in the Energy Internet

    Kun Wang;Huining Li;Yixiong Feng;Guangdong Tian

  • A Survey on Energy Internet Communications for Sustainability

    Kun Wang;Xiaoxuan Hu;Huining Li;Peng Li

  • Social-aware energy harvesting device-to-device communications in 5G networks

    Li Jiang;Hui Tian;Zi Xing;Kun Wang

Frequent Co-Authors

Song Guo
Song Guo Hong Kong University of Science and Technology
Lei Shu
Lei Shu Nanjing Agricultural University
Lei He
Lei He University of California, Los Angeles
Xianling Liang
Xianling Liang Shanghai Jiao Tong University
Minyi Guo
Minyi Guo Shanghai Jiao Tong University
Chunsheng Zhu
Chunsheng Zhu Southern University of Science and Technology
Junping Geng
Junping Geng Shanghai Jiao Tong University
Ronghong Jin
Ronghong Jin Shanghai Jiao Tong University
Wanlei Zhou
Wanlei Zhou City University of Macau
Weiren Zhu
Weiren Zhu Shanghai Jiao Tong University

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