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Computer Science
Canada
2025

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
85
Citations
22438
World Ranking
400
National Ranking
18

Computer Science

D-Index
90
Citations
27687
World Ranking
616
National Ranking
22

Baochun Li publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Baochun Li sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 365 publications — 70th percentile

70% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Baochun Li D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Baochun Li sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 85 D-Index — 95th percentile

95% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Research.com Recognitions

  • 2025 - Research.com Computer Science in Canada Leader Award
  • 2023 - Research.com Computer Science in Canada Leader Award
  • 2022 - Research.com Computer Science in Canada Leader Award
  • 2015 - IEEE Fellow For contributions to application-layer network protocols and network coding

Overview

Baochun Li is a researcher affiliated with the University of Toronto in Canada. Their work spans multiple fields including computer science and agricultural and biological sciences, with an emphasis on artificial intelligence, plant science, computer networks and communications, geophysics, and information systems.

Their research focuses on topics such as privacy-preserving technologies in data, cryptography and data security, adversarial robustness in machine learning, plant nutrient uptake and metabolism, stochastic gradient optimization techniques, IoT and edge/fog computing, and cloud computing and resource management.

Notable recent publications by Baochun Li include:

  • "Cross-Cluster Federated Learning and Blockchain for Internet of Medical Things", 2021, IEEE Internet of Things Journal
  • "Towards Private Learning on Decentralized Graphs With Local Differential Privacy", 2022, IEEE Transactions on Information Forensics and Security
  • "Distributed Inference with Deep Learning Models across Heterogeneous Edge Devices", 2022, IEEE INFOCOM 2022 - IEEE Conference on Computer Communications
  • "OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks", 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Towards Optimal Multi-Modal Federated Learning on Non-IID Data with Hierarchical Gradient Blending", 2022, IEEE INFOCOM 2022 - IEEE Conference on Computer Communications

Frequent coauthors of Baochun Li include:

  • Erjing Si
  • Yaxiong Meng
  • Lirong Yao
  • Xiaole Ma
  • Xunwu Shang

Key venues where Baochun Li has published extensively include:

  • arXiv (Cornell University)
  • IEEE Network
  • International Journal of Molecular Sciences
  • IEEE Transactions on Parallel and Distributed Systems
  • Frontiers in Plant Science

In recognition of contributions to the field, Baochun Li was awarded the IEEE Fellow distinction in 2015 for work on application-layer network protocols and network coding.

Best Publications

  • How Practical is Network Coding

    Mea Wang;Baochun Li

  • Optimizing Federated Learning on Non-IID Data with Reinforcement Learning

    Hao Wang;Zakhary Kaplan;Di Niu;Baochun Li

  • Oruta: Privacy-Preserving Public Auditing for Shared Data in the Cloud

    Boyang Wang;Baochun Li;Hui Li

  • Panda: Public Auditing for Shared Data with Efficient User Revocation in the Cloud

    Boyang Wang;Baochun Li;Hui Li

  • A control-based middleware framework for quality-of-service adaptations

    Baochun Li;K. Nahrstedt

  • R2: Random Push with Random Network Coding in Live Peer-to-Peer Streaming

    Mea Wang;Baochun Li

  • MP-DSR: a QoS-aware multi-path dynamic source routing protocol for wireless ad-hoc networks

    R. Leung;Jilei Liu;E. Poon;A.-L.C. Chan

  • oStream: asynchronous streaming multicast in application-layer overlay networks

    Yi Cui;Baochun Li;K. Nahrstedt

  • Group mobility and partition prediction in wireless ad-hoc networks

    K.H. Wang;Baochun Li

  • Optimal resource allocation in wireless ad hoc networks: a price-based approach

    Yuan Xue;Baochun Li;Klara Nahrstedt

  • Dynamic Cloud Pricing for Revenue Maximization

    Hong Xu;Baochun Li

  • Knox: privacy-preserving auditing for shared data with large groups in the cloud

    Boyang Wang;Baochun Li;Hui Li

  • Oruta: Privacy-Preserving Public Auditingfor Shared Data in the Cloud

    Boyang Wang;Baochun Li;Hui Li

  • iAware: Making Live Migration of Virtual Machines Interference-Aware in the Cloud

    Fei Xu;Fangming Liu;Linghui Liu;Hai Jin

  • A Cross-Layer Optimization Framework for Multihop Multicast in Wireless Mesh Networks

    Jun Yuan;Zongpeng Li;Wei Yu;Baochun Li

  • Multicast with network coding in application-layer overlay networks

    Ying Zhu;Baochun Li;Jiang Guo

  • A scalable location management scheme in mobile ad-hoc networks

    Yuan Xue;Baochun Li;K. Nahrstedt

  • QoS-aware middleware for ubiquitous and heterogeneous environments

    K. Nahrstedt;Dongyan Xu;D. Wichadakul;Baochun Li

  • Public auditing for shared data with efficient user revocation in the cloud

    Boyang Wang;Baochun Li;Hui Li

  • Network Coding in Undirected Networks

    Zongpeng Li;Baochun Li

Frequent Co-Authors

Bo Li
Bo Li Hong Kong University of Science and Technology
Ben Liang
Ben Liang University of Toronto
Hong Xu
Hong Xu City University of Hong Kong
Zongpeng Li
Zongpeng Li Tsinghua University
Klara Nahrstedt
Klara Nahrstedt University of Illinois at Urbana-Champaign
Fangming Liu
Fangming Liu Huazhong University of Science and Technology
Chuan Wu
Chuan Wu University of Hong Kong
Jun Li
Jun Li Nanjing University of Science and Technology
Dongyan Xu
Dongyan Xu Purdue University West Lafayette
Ashish Khisti
Ashish Khisti University of Toronto

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