Bo Li

12.5k citations
322 papers · 7.7k · 2 hit papers · h-index 43

Impact in

Papers in

Bo Li

298 papers receiving 7.4k citations

Bo Li's Hit Papers

CMFL: Mitigating Communication Overhead for Federated Learning 2019 · 338 citations
3380+2+5Years since publication50010001.5k

Peers

Bo Li
Comparison fields: 5 of 151
  • Computer Networks and Communications 3.7k
  • Computer Vision and Pattern Recognition 2.4k
  • Geology 324
  • Information Systems 1.1k
  • Artificial Intelligence 1.5k
Replace Qi Hao with:
Qi Hao China
Huadóng Ma China
Jianwei Niu China
Abdallah Khreishah United States
Mianxiong Dong Japan
Mao Ye China
Lei Guo China
Hongbo Jiang China
Zhang Xiong China
Zhaolong Ning China
Bo Li relative to Qi Hao China Qi Hao's profile →
Citations per field
00.5×
Qi Hao · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Bo Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bo Li Line = papers co-authored together Bo Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 322 papers — load more, or switch the sort, to bring in the rest.

#Work
1
SECOND: Sparsely Embedded Convolutional Detection
Hit paper breakdown →
20181862
2
CMFL: Mitigating Communication Overhead for Federated Learning
Hit paper breakdown →
2019338
3 2009153
4 2019141
5 2020127
6 2015124
7 2008108
8 2007102
9 1998101
10 201499
11 200388
12 202184
13 202082
14 200578
15 202176
16 202275
17 201972
18 200272
19 200467
20 201966

About Bo Li

Bo Li is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 322 papers that have together received 7.7k indexed citations. Recurring topics across this work include Caching and Content Delivery (64 papers), Peer-to-Peer Network Technologies (52 papers), Privacy-Preserving Technologies in Data (34 papers), Wireless Communication Networks Research (31 papers), Advanced Wireless Network Optimization (29 papers), Network Traffic and Congestion Control (24 papers), Mobile Ad Hoc Networks (24 papers) and Wireless Networks and Protocols (24 papers). The work is most often cited by research in Computer Networks and Communications (3.7k citations), Computer Vision and Pattern Recognition (2.4k citations), Geology (324 citations), Information Systems (1.1k citations) and Artificial Intelligence (1.5k citations). Bo Li has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Yuxing Mao, Yan Yan, Baochun Li, Wei Wang, Jiangchuan Liu, Fangming Liu, Luping Wang, Xiaowen Chu, Hao Yin and Chuang Lin. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, Wireless Networks, IEEE Transactions on Parallel and Distributed Systems, Computer Networks and IEEE Internet of Things Journal.

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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