Baochun Li

20.3k total citations · 3 hit papers
472 papers, 13.8k citations indexed

About

Baochun Li is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Baochun Li has authored 472 papers receiving a total of 13.8k indexed citations (citations by other indexed papers that have themselves been cited), including 298 papers in Computer Networks and Communications, 117 papers in Information Systems and 103 papers in Artificial Intelligence. Recurrent topics in Baochun Li's work include Caching and Content Delivery (112 papers), Peer-to-Peer Network Technologies (92 papers) and Cloud Computing and Resource Management (89 papers). Baochun Li is often cited by papers focused on Caching and Content Delivery (112 papers), Peer-to-Peer Network Technologies (92 papers) and Cloud Computing and Resource Management (89 papers). Baochun Li collaborates with scholars based in Canada, China and Hong Kong. Baochun Li's co-authors include Mea Wang, Hong Xu, Di Niu, Ben Liang, Klara Nahrstedt, Boyang Wang, Wei Wang, Zongpeng Li, Bo Li and Chuan Wu and has published in prestigious journals such as PLANT PHYSIOLOGY, Proceedings of the IEEE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Baochun Li

455 papers receiving 13.2k citations

Hit Papers

How Practical is Network Coding? 2006 2026 2012 2019 2006 2020 2014 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Baochun Li Canada 60 9.6k 4.1k 3.1k 2.8k 986 472 13.8k
Chunxiao Jiang China 66 8.5k 0.9× 1.5k 0.4× 7.4k 2.4× 2.4k 0.9× 1.0k 1.0× 553 16.6k
Christian S. Jensen Denmark 66 6.7k 0.7× 2.8k 0.7× 1.1k 0.3× 4.4k 1.6× 2.0k 2.1× 546 17.2k
Jie Li China 47 5.7k 0.6× 1.7k 0.4× 3.7k 1.2× 1.7k 0.6× 888 0.9× 610 10.8k
Jianzhong Li China 40 3.0k 0.3× 1.1k 0.3× 1.3k 0.4× 1.9k 0.7× 1.3k 1.4× 488 7.5k
Minyi Guo China 43 4.1k 0.4× 3.4k 0.8× 1.4k 0.5× 2.8k 1.0× 1.8k 1.8× 505 8.8k
Mugen Peng China 56 8.0k 0.8× 1.3k 0.3× 10.2k 3.3× 1.2k 0.4× 615 0.6× 640 14.9k
Jianwei Huang Hong Kong 50 5.1k 0.5× 687 0.2× 5.7k 1.8× 1.5k 0.5× 379 0.4× 373 10.0k
Chun Chen China 49 2.0k 0.2× 2.1k 0.5× 613 0.2× 3.4k 1.2× 3.3k 3.4× 331 9.1k
Mosharaf Chowdhury United States 32 7.1k 0.7× 5.7k 1.4× 1.0k 0.3× 2.2k 0.8× 1.4k 1.4× 73 9.8k
Shuiguang Deng China 41 3.4k 0.4× 3.2k 0.8× 985 0.3× 1.7k 0.6× 869 0.9× 269 6.3k

Countries citing papers authored by Baochun Li

Since Specialization
Citations

This map shows the geographic impact of Baochun Li's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Baochun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baochun Li more than expected).

Fields of papers citing papers by Baochun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Baochun Li. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Baochun Li. The network helps show where Baochun Li may publish in the future.

Co-authorship network of co-authors of Baochun Li

This figure shows the co-authorship network connecting the top 25 collaborators of Baochun Li. A scholar is included among the top collaborators of Baochun Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Baochun Li. Baochun Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Li, Baochun, et al.. (2024). Differentially Private Dataset Condensation. 1 indexed citations
3.
Hu, Haoyuan, et al.. (2024). The geothermal field genesis mechanism in the central uplift of the Jizhong depression: A study based on magnetotelluric imaging. Geothermics. 127. 103240–103240. 1 indexed citations
4.
Wang, Wei, et al.. (2024). Feature Reconstruction Attacks and Countermeasures of DNN Training in Vertical Federated Learning. IEEE Transactions on Dependable and Secure Computing. 22(3). 2659–2669. 3 indexed citations
5.
Xu, Hong, Wei Wang, Baochun Li, et al.. (2023). Synchronize Only the Immature Parameters: Communication-Efficient Federated Learning By Freezing Parameters Adaptively. IEEE Transactions on Parallel and Distributed Systems. 35(7). 1155–1173. 12 indexed citations
6.
Xu, Hong, Wei Wang, Baochun Li, et al.. (2023). GIFT: Toward Accurate and Efficient Federated Learning With Gradient-Instructed Frequency Tuning. IEEE Journal on Selected Areas in Communications. 41(4). 902–914. 7 indexed citations
7.
Zheng, Tianhang & Baochun Li. (2022). Poisoning Attacks on Deep Learning based Wireless Traffic Prediction. IEEE INFOCOM 2022 - IEEE Conference on Computer Communications. 660–669. 19 indexed citations
8.
Lin, Wanyu, Baochun Li, & Cong Wang. (2022). Towards Private Learning on Decentralized Graphs With Local Differential Privacy. IEEE Transactions on Information Forensics and Security. 17. 2936–2946. 39 indexed citations
9.
Broeck, Lisa Van den, Michael F. Schwartz, Srikumar Krishnamoorthy, et al.. (2022). Establishing a reproducible approach to study cellular functions of plant cells with 3D bioprinting. Science Advances. 8(41). eabp9906–eabp9906. 12 indexed citations
10.
Wang, Wei, et al.. (2021). Accelerating Distributed Learning in Non-Dedicated Environments. IEEE Transactions on Cloud Computing. 11(1). 515–531. 6 indexed citations
11.
Wang, Hao, et al.. (2020). Optimizing Federated Learning on Non-IID Data with Reinforcement Learning. 1698–1707. 651 indexed citations breakdown →
12.
Lin, Wanyu, Helei Cui, Baochun Li, & Cong Wang. (2020). Privacy-Preserving Similarity Search With Efficient Updates in Distributed Key-Value Stores. IEEE Transactions on Parallel and Distributed Systems. 32(5). 1072–1084. 11 indexed citations
13.
Yuan, Xu, et al.. (2019). Enabling Encrypted Boolean Queries in Geographically Distributed Databases. IEEE Transactions on Parallel and Distributed Systems. 31(3). 634–646. 9 indexed citations
14.
Yuan, Xu, Xingliang Yuan, Baochun Li, & Cong Wang. (2019). Toward Secure and Scalable Computation in Internet of Things Data Applications. IEEE Internet of Things Journal. 6(2). 3753–3763. 10 indexed citations
15.
Gao, Yuanxiang, Li Chen, & Baochun Li. (2018). Post: Device Placement with Cross-Entropy Minimization and Proximal Policy Optimization. Neural Information Processing Systems. 31. 9971–9980. 12 indexed citations
16.
Wang, Wei, Ben Liang, & Baochun Li. (2014). Multi-Resource Fair Allocation in Heterogeneous Cloud Computing Systems. IEEE Transactions on Parallel and Distributed Systems. 26(10). 2822–2835. 103 indexed citations
17.
Wang, Wei, Di Niu, Baochun Li, & Ben Liang. (2013). Dynamic Cloud Resource Reservation via Cloud Brokerage. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 400–409. 76 indexed citations
18.
Xu, Hong & Baochun Li. (2012). Maximizing revenue with dynamic cloud pricing: The infinite horizon case. 2929–2933. 59 indexed citations
19.
Wang, Mea & Baochun Li. (2006). How Practical is Network Coding?. 274–278. 956 indexed citations breakdown →
20.
Frame, Bronwyn, Huixia Shou, Rachel Chikwamba, et al.. (2002). Agrobacterium tumefaciens -Mediated Transformation of Maize Embryos Using a Standard Binary Vector System. PLANT PHYSIOLOGY. 129(1). 13–22. 372 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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