Baofeng Wu

510 citations
41 papers · 308 · h-index 11

Impact in

Papers in

Baofeng Wu

38 papers receiving 299 citations

Peers

Baofeng Wu
Comparison fields: 5 of 38
  • Discrete Mathematics and Combinatorics 63
  • Artificial Intelligence 252
  • Modeling and Simulation 23
  • Numerical Analysis 16
  • Applied Mathematics 27
Replace Alexey S. Kuzmin with:
Alexey S. Kuzmin Russia
Alina Ostafe Australia
Hyun Kwang Kim South Korea
Madhu Raka India
Alev Topuzoğlu Türkiye
Katalin Gyarmati Hungary
Jong Yoon Hyun South Korea
Michael E. O’Sullivan United States
Yannick Saouter France
Gaojun Luo China
Baofeng Wu relative to Alexey S. Kuzmin Russia Alexey S. Kuzmin's profile →
Citations per field
00.5×2×4×6.8×
Alexey S. Kuzmin · 1×
Citations per year

Countries citing papers authored by Baofeng Wu

Since Specialization
Citations

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

Fields of papers citing papers by Baofeng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201368
2 200925
3 201320
4 201618
5 201417
6 201415
7 201814
8 201814
9 201812
10
The Modifications of Trees and the Laplacian Spectrum
200411
11 201711
12 20187
13 20177
14 20067
15 20235
16 20195
17
1-Resilient Boolean Function with Optimal Algebraic Immunity.
20115
18 20115
19 20234
20 20144

About Baofeng Wu

Baofeng Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Discrete Mathematics and Combinatorics, Electrical and Electronic Engineering and Computational Theory and Mathematics, having authored 41 papers that have together received 308 indexed citations. Recurring topics across this work include Coding theory and cryptography (31 papers), Cryptographic Implementations and Security (24 papers), graph theory and CDMA systems (11 papers), Chaos-based Image/Signal Encryption (9 papers), Islamic Finance and Communication (5 papers), Finite Group Theory Research (3 papers), Cancer Mechanisms and Therapy (2 papers) and Cryptography and Residue Arithmetic (2 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (63 citations), Artificial Intelligence (252 citations), Modeling and Simulation (23 citations), Numerical Analysis (16 citations) and Applied Mathematics (27 citations). Baofeng Wu has collaborated with scholars based in China, France and Taiwan. Frequent co-authors include Zhuojun Liu, Libo Wang, Dongdai Lin, Xiping Liu, Mei Jia, Lin Hou, Yanfeng Qi, Chunming Tang, Keqin Feng and Qiuping Li. Their work appears in journals such as Finite Fields and Their Applications, IEEE Transactions on Information Theory, Science China Information Sciences, Cybersecurity and Discrete Applied Mathematics.

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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