Bo Bai

4.9k citations
192 papers · 3.5k indexed · h-index 30

Bo Bai

176 papers receiving 3.4k citations

Peers

Bo Bai
Comparison fields: 5 of 112
  • Computer Networks and Communications 1.9k
  • Aerospace Engineering 913
  • Electrical and Electronic Engineering 1.8k
  • Computer Vision and Pattern Recognition 632
  • Artificial Intelligence 515
Replace Jinlong Wang with:
Jinlong Wang China
Hiroki Nishiyama Japan
Bomin Mao Japan
Chunguo Li China
João Barros Portugal
Lüxi Yang China
Lisheng Fan China
Srikanth V. Krishnamurthy United States
Yanheng Liu China
Jibo Wei China
Bo Bai relative to Jinlong Wang China Jinlong Wang's profile →
Citations per field
00.5×
Jinlong Wang · 1×
Citations per year

Countries citing papers authored by Bo Bai

Since Specialization
Citations

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

Fields of papers citing papers by Bo Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Bo Bai, 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 Bai Line = papers co-authored together Bo Bai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20241
4 20243
5 20241
6 20240
7 202355
8 202320
9 202311
10 20233
11 20224
12 20221
13 20220
14 20214
15 2021121
16 20206
17 201924
18 201989
19 201718
20 2016135

About Bo Bai

Bo Bai is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Computational Mathematics, Computer Vision and Pattern Recognition and Signal Processing, having authored 192 papers that have together received 3.5k indexed citations. Recurring topics across this work include Cooperative Communication and Network Coding (62 papers), Advanced MIMO Systems Optimization (48 papers), Advanced Wireless Communication Technologies (23 papers), Wireless Communication Security Techniques (22 papers), Advanced Wireless Network Optimization (20 papers), Caching and Content Delivery (20 papers), Full-Duplex Wireless Communications (15 papers) and Opportunistic and Delay-Tolerant Networks (13 papers). The work is most often cited by research in Computer Networks and Communications (1.9k citations), Aerospace Engineering (913 citations), Electrical and Electronic Engineering (1.8k citations), Computer Vision and Pattern Recognition (632 citations) and Artificial Intelligence (515 citations). Bo Bai has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Juan Liu, Wei Chen, Zhu Han, Khaled B. Letaief, Xijun Wang, Huaiyu Dai, Jun Zhang, Dong Wang, Haizhou Ai and Kai Lei. Their work appears in journals such as IEEE Transactions on Wireless Communications, IEEE Transactions on Communications, IEEE Communications Letters, IEEE Journal on Selected Areas in Communications and IEEE Access.

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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