Baochun Li

Active 1999–2026

480
Papers
21,889
Citations
77
h-index
317
i10-index

Citations

Citations per year for Baochun Li2000: 12 citations2001: 39 citations2002: 39 citations2003: 101 citations2004: 177 citations2005: 272 citations2006: 363 citations2007: 375 citations2008: 507 citations2009: 618 citations2010: 745 citations2011: 756 citations2012: 829 citations2013: 799 citations2014: 962 citations2015: 1,000 citations2016: 862 citations2017: 850 citations2018: 795 citations2019: 764 citations2020: 707 citations2021: 735 citations2022: 745 citations2023: 769 citations2024: 901 citations2025: 862 citations2026: 192 citations2027: 1 citations

Citation sources

Countries

World map of the countries and regions citing this authorChina: 4,801 citing papers, 28% of this breakdownUnited States: 3,422 citing papers, 19.9% of this breakdownCanada: 1,185 citing papers, 6.9% of this breakdownHong Kong: 862 citing papers, 5% of this breakdownUnited Kingdom: 582 citing papers, 3.4% of this breakdownAustralia: 521 citing papers, 3% of this breakdownIndia: 457 citing papers, 2.7% of this breakdownSouth Korea: 407 citing papers, 2.4% of this breakdownGermany: 401 citing papers, 2.3% of this breakdownFrance: 396 citing papers, 2.3% of this breakdownSingapore: 355 citing papers, 2.1% of this breakdownItaly: 327 citing papers, 1.9% of this breakdown
0%28%Other 20.1%

Fields

  • Computer Science87.7%
  • Engineering6.3%
  • Decision Sciences2%
  • Biochemistry, Genetics and Molecular Biology1%
  • Social Sciences0.8%
  • Physics and Astronomy0.5%
  • Other1.7%

Topics

  • Cooperative Communication and Network Coding7.6%
  • Caching and Content Delivery7.4%
  • Cloud Computing and Resource Management5.5%
  • Mobile Ad Hoc Networks5%
  • Peer-to-Peer Network Technologies4.4%
  • Privacy-Preserving Technologies in Data4%
  • Other66.1%

Coauthors

All papers

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  1. Optimizing Federated Learning on Non-IID Data with Reinforcement Learning

    Authors: , , , - IEEE INFOCOM 2020 - IEEE Conference on Computer Communications 2020 cited by 958

  2. Towards Private Learning on Decentralized Graphs With Local Differential Privacy

    Authors: , , - IEEE Transactions on Information Forensics and Security, IEEE Trans. Inf. Forensics Secur. 2022 cited by 84

  3. Distributed Inference with Deep Learning Models across Heterogeneous Edge Devices

    Authors: , - IEEE INFOCOM 2022 - IEEE Conference on Computer Communications 2022 cited by 70

  4. Learning-based Practical Smartphone Eavesdropping with Built-in Accelerometer

    Authors: , , , , , , - Proceedings 2020 Network and Distributed System Security Symposium, NDSS 2020 cited by 114

  5. Asynchronous Federated Unlearning

    Authors: , - IEEE INFOCOM 2023 - IEEE Conference on Computer Communications 2023 cited by 51

  6. Software-Defined Wide Area Network (SD-WAN): Architecture, Advances and Opportunities

    Authors: , , , , - 28th International Conference on Computer Communication and Networks (ICCCN) 2019 cited by 148

  7. MaskCrypt: Federated Learning With Selective Homomorphic Encryption

    Authors: , - IEEE Transactions on Dependable and Secure Computing, IEEE Trans. Dependable Secur. Comput. 2024 cited by 57

  8. Distributed Machine Learning with a Serverless Architecture

    Authors: , , - IEEE INFOCOM 2019 - IEEE Conference on Computer Communications 2019 cited by 136

  9. Communication-Efficient Federated Learning with Adaptive Parameter Freezing

    Authors: , , , , , , - IEEE 41st International Conference on Distributed Computing Systems (ICDCS) 2021 cited by 67

  10. Towards Optimal Multi-Modal Federated Learning on Non-IID Data with Hierarchical Gradient Blending

    Authors: , - IEEE INFOCOM 2022 - IEEE Conference on Computer Communications 2022 cited by 50

  11. Cross-Cluster Federated Learning and Blockchain for Internet of Medical Things

    Authors: , , , , , - IEEE Internet of Things Journal, IEEE Internet Things J. 2021 cited by 90

  12. How Asynchronous can Federated Learning Be?

    Authors: , - IEEE/ACM 30th International Symposium on Quality of Service (IWQoS) 2022 cited by 37

  13. Guardian: Evaluating Trust in Online Social Networks with Graph Convolutional Networks

    Authors: , , - IEEE INFOCOM 2020 - IEEE Conference on Computer Communications 2020 cited by 66

  14. DeepQueueNet: towards scalable and generalized network performance estimation with packet-level visibility

    Authors: , , , , , , , - SIGCOMM 2022 Conference 2022 cited by 36

  15. Federated Unlearning and Its Privacy Threats

    Authors: , , - IEEE Network, IEEE Netw. 2023 cited by 34

  16. Eagle: Refining Congestion Control by Learning from the Experts

    Authors: , , - IEEE INFOCOM 2020 - IEEE Conference on Computer Communications 2020 cited by 61

  17. Multi-Resource Fair Allocation in Heterogeneous Cloud Computing Systems

    Authors: , , - IEEE Transactions on Parallel and Distributed Systems, IEEE Trans. Parallel Distributed Syst. 2014 cited by 153

  18. On Sharding Open Blockchains with Smart Contracts

    Authors: , , , , , - IEEE 36th International Conference on Data Engineering (ICDE) 2020 cited by 72

  19. Spear: Optimized Dependency-Aware Task Scheduling with Deep Reinforcement Learning

    Authors: , , - IEEE 39th International Conference on Distributed Computing Systems (ICDCS) 2019 cited by 67

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

    Authors: , , - IEEE Fifth International Conference on Cloud Computing, IEEE CLOUD 2012 cited by 460

  21. sFlow: Towards Resource-Efficient and Agile Service Federation in Service Overlay Networks

    Authors: , , - International Conference on Distributed Computing Systems, ICDCS 2004 cited by 136

  22. FLUID: Towards Efficient Continuous Transaction Processing in DAG-Based Blockchains

    Authors: , , , , , - IEEE Transactions on Knowledge and Data Engineering, IEEE Trans. Knowl. Data Eng. 2023 cited by 25

  23. Poisoning Attacks on Deep Learning based Wireless Traffic Prediction

    Authors: , - IEEE INFOCOM 2022 - IEEE Conference on Computer Communications 2022 cited by 28

  24. Titanic: Towards Production Federated Learning with Large Language Models

    Authors: , , , - IEEE INFOCOM 2024 - IEEE Conference on Computer Communications 2024 cited by 25