Wei Bao

4.3k citations
165 papers · 3.0k · 1 hit paper · h-index 21

Impact in

Papers in

Wei Bao

152 papers receiving 3.0k citations

Wei Bao's Hit Papers

Federated Learning over Wireless Networks: Optimization Model Design and Analysis 2019 · 735 citations
7350+2+4Years since publication200400600

Peers

Wei Bao
Comparison fields: 5 of 124
  • Computer Networks and Communications 1.5k
  • Artificial Intelligence 1.1k
  • Computer Science Applications 170
  • Electrical and Electronic Engineering 1.3k
  • Computer Vision and Pattern Recognition 423
Replace Liekang Zeng with:
Liekang Zeng China
Changchuan Yin China
Wen Wu China
Dapeng Wu China
He Li China
Yunxin Liu China
Qi Qi China
Peng Yang China
Abdulhameed Alelaiwi Saudi Arabia
Ricky Y. K. Kwok Hong Kong
Wei Bao relative to Liekang Zeng China Liekang Zeng's profile →
Citations per field
00.5×10.1×
Liekang Zeng · 1×
Citations per year

Countries citing papers authored by Wei Bao

Since Specialization
Citations

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

Fields of papers citing papers by Wei Bao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 165 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Federated Learning over Wireless Networks: Optimization Model Design and Analysis
Hit paper breakdown →
2019735
2 2019275
3 2018260
4 2015125
5 201594
6 201788
7 201681
8 202377
9 201773
10 201762
11 201749
12 202045
13 201444
14 201842
15 201036
16 201634
17 202328
18 202227
19 201725
20 201622

About Wei Bao

Wei Bao is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, having authored 165 papers that have together received 3.0k indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (24 papers), IoT and Edge/Fog Computing (23 papers), Privacy-Preserving Technologies in Data (16 papers), Cooperative Communication and Network Coding (14 papers), Advanced Wireless Network Optimization (13 papers), IoT Networks and Protocols (12 papers), Wireless Communication Networks Research (12 papers) and Text and Document Classification Technologies (11 papers). The work is most often cited by research in Computer Networks and Communications (1.5k citations), Artificial Intelligence (1.1k citations), Computer Science Applications (170 citations), Electrical and Electronic Engineering (1.3k citations) and Computer Vision and Pattern Recognition (423 citations). Wei Bao has collaborated with scholars based in Australia, China and Canada. Frequent co-authors include Albert Y. Zomaya, Ben Liang, Nguyen H. Tran, Choong Seon Hong, Minh N. H. Nguyen, Dong Yuan, Dan Wang, Chuang Hu, Branka Vucetic and Fengming Liu. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, IEEE Transactions on Wireless Communications, IEEE Communications Magazine, IEEE Transactions on Parallel and Distributed Systems and IEEE Transactions on Communications.

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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