Bo Li

12.5k total citations · 2 hit papers
322 papers, 7.7k citations indexed

About

Bo Li is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Bo Li has authored 322 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 199 papers in Computer Networks and Communications, 104 papers in Electrical and Electronic Engineering and 62 papers in Artificial Intelligence. Recurrent topics in Bo Li's work include Caching and Content Delivery (64 papers), Peer-to-Peer Network Technologies (52 papers) and Privacy-Preserving Technologies in Data (34 papers). Bo Li is often cited by papers focused on Caching and Content Delivery (64 papers), Peer-to-Peer Network Technologies (52 papers) and Privacy-Preserving Technologies in Data (34 papers). Bo Li collaborates with scholars based in Hong Kong, China and United States. Bo Li's co-authors include Yuxing Mao, Yan Yan, Baochun Li, Wei Wang, Jiangchuan Liu, Fangming Liu, Luping Wang, Xiaowen Chu, Hao Yin and Chuang Lin and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and PLoS ONE.

In The Last Decade

Bo Li

298 papers receiving 7.4k citations

Hit Papers

SECOND: Sparsely Embedded Convolutional Detection 2018 2026 2020 2023 2018 2019 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bo Li Hong Kong 43 3.7k 2.4k 1.7k 1.5k 1.1k 322 7.7k
Huadóng Ma China 46 3.4k 0.9× 3.0k 1.2× 2.4k 1.4× 1.7k 1.1× 640 0.6× 516 9.2k
Hongbo Jiang China 49 3.6k 1.0× 1.3k 0.5× 3.0k 1.8× 1.5k 1.0× 1.3k 1.1× 341 7.9k
Jianwei Niu China 50 4.0k 1.1× 1.2k 0.5× 1.8k 1.1× 2.0k 1.4× 2.6k 2.3× 384 8.1k
Mianxiong Dong Japan 63 8.0k 2.2× 1.8k 0.7× 5.2k 3.1× 3.0k 2.1× 2.8k 2.4× 486 14.0k
Dapeng Wu United States 60 8.0k 2.2× 2.9k 1.2× 6.5k 3.8× 2.2k 1.5× 1.3k 1.2× 524 14.6k
Junshan Zhang United States 50 5.6k 1.5× 825 0.3× 5.5k 3.3× 2.6k 1.8× 986 0.9× 322 10.9k
Lianyong Qi China 54 4.4k 1.2× 1.7k 0.7× 1.6k 0.9× 2.8k 1.9× 3.3k 2.9× 218 8.7k
Yang Yang China 45 5.6k 1.5× 823 0.3× 6.4k 3.8× 917 0.6× 1.2k 1.0× 658 10.6k
Lei Guo China 47 4.3k 1.2× 954 0.4× 2.3k 1.4× 1.4k 0.9× 1.3k 1.1× 286 7.2k
Xiang‐Yang Li China 58 7.2k 2.0× 1.1k 0.5× 4.9k 2.9× 2.4k 1.6× 1.7k 1.5× 551 12.5k

Countries citing papers authored by Bo Li

Since Specialization
Citations

This map shows the geographic impact of Bo 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 Bo Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bo Li more than expected).

Fields of papers citing papers by Bo Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bo 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 Bo Li. The network helps show where Bo Li may publish in the future.

Co-authorship network of co-authors of Bo Li

This figure shows the co-authorship network connecting the top 25 collaborators of Bo Li. A scholar is included among the top collaborators of Bo 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 Bo Li. Bo 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
1.
Zhang, Shijie, et al.. (2025). FlexIM: Efficient and Verifiable Index Management in Blockchain. IEEE Transactions on Knowledge and Data Engineering. 37(6). 3399–3412.
2.
Li, Yuchen, et al.. (2024). Joint differential evolution algorithm in RIS-assisted multi-UAV IoT data collection system. Ad Hoc Networks. 164. 103640–103640. 5 indexed citations
3.
Liu, Ze, Bo Li, Mao Yang, & Zhongjiang Yan. (2024). Adaptive channel reservation multiple access protocol based on differentiated traffic guarantee. Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University. 42(1). 84–91.
4.
Li, Bo, Xuxia Zhang, Xin Yang, et al.. (2024). Ti3+ self-doped TiO2 nanoparticles immobilized on self-pillared pentasil zeolite nanosheets: An efficient visible-light-driven degradation photocatalyst. Applied Surface Science. 677. 161000–161000. 4 indexed citations
5.
Li, Bo, et al.. (2024). Scenarios analysis and performance assessment of blockchain integrated in 6G scenarios. Science China Information Sciences. 67(7). 2 indexed citations
7.
Hu, Jingyang, Hongbo Jiang, Siyu Chen, et al.. (2024). WiShield: Privacy Against Wi-Fi Human Tracking. IEEE Journal on Selected Areas in Communications. 42(10). 2970–2984. 27 indexed citations
8.
Zhang, Shijie, Jiang Xiao, Feng Cheng, et al.. (2024). MorphDAG: A Workload-Aware Elastic DAG-Based Blockchain. IEEE Transactions on Knowledge and Data Engineering. 36(10). 5249–5264. 4 indexed citations
9.
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
10.
Zhou, Ruiting, et al.. (2024). Efficient and Intelligent Multijob Federated Learning in Wireless Networks. IEEE Internet of Things Journal. 12(7). 8685–8698.
11.
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
12.
Li, Zonghang, et al.. (2023). HFedMS: Heterogeneous Federated Learning With Memorable Data Semantics in Industrial Metaverse. IEEE Transactions on Cloud Computing. 11(3). 3055–3069. 37 indexed citations
13.
Ali, Talal Ahmed Ali, Zhu Xiao, Hongbo Jiang, & Bo Li. (2023). A Class of Digital Integrators Based on Trigonometric Quadrature Rules. IEEE Transactions on Industrial Electronics. 71(6). 6128–6138. 50 indexed citations
14.
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
15.
Zhou, Ruiting, et al.. (2022). Preemptive Scheduling for Distributed Machine Learning Jobs in Edge-Cloud Networks. IEEE Journal on Selected Areas in Communications. 40(8). 2411–2425. 12 indexed citations
16.
Shi, Shaohuai, et al.. (2022). Scalable K-FAC Training for Deep Neural Networks With Distributed Preconditioning. IEEE Transactions on Cloud Computing. 11(3). 2365–2378. 1 indexed citations
17.
Jin, Hai, et al.. (2022). Detecting Arbitrage on Ethereum Through Feature Fusion and Positive-Unlabeled Learning. IEEE Journal on Selected Areas in Communications. 40(12). 3660–3671. 7 indexed citations
18.
Wang, Wei, et al.. (2021). Accelerating Distributed Learning in Non-Dedicated Environments. IEEE Transactions on Cloud Computing. 11(1). 515–531. 6 indexed citations
19.
Li, Bo, Yining Wang, Aarti Singh, & Yevgeniy Vorobeychik. (2016). Data Poisoning Attacks on Factorization-Based Collaborative Filtering. arXiv (Cornell University). 29. 1885–1893. 41 indexed citations
20.

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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