Danfeng Yao

129 papers receiving 2.7k citations

Peers

Danfeng Yao
Comparison fields: 5 of 109
  • Signal Processing 1.4k
  • Software 373
  • Computer Networks and Communications 1.4k
  • Information Systems 1.2k
  • Artificial Intelligence 1.4k
Replace Cristina Nita-Rotaru with:
Cristina Nita-Rotaru United States
Shouhuai Xu United States
Deqing Zou China
Radu State Luxembourg
Prateek Saxena Singapore
Fabio Massacci Italy
Zakir Durumeric United States
J.M. Wing United States
Gary McGraw United States
David Basin Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Danfeng Yao

Since Specialization
Citations

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

Fields of papers citing papers by Danfeng Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 137 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017185
2 2021165
3 201297
4 201490
5 201881
6 201680
7 201779
8 201576
9 200475
10 201768
11 201966
12 200965
13 201865
14 200464
15 201754
16 201553
17 201550
18 201347
19 201146
20 201645

About Danfeng Yao

Danfeng Yao is a scholar working on Signal Processing, Computer Networks and Communications, Artificial Intelligence, Information Systems and Sociology and Political Science, having authored 137 papers that have together received 2.9k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (81 papers), Network Security and Intrusion Detection (50 papers), Security and Verification in Computing (29 papers), Cryptography and Data Security (17 papers), Software Testing and Debugging Techniques (16 papers), Access Control and Trust (14 papers), Privacy-Preserving Technologies in Data (14 papers) and Internet Traffic Analysis and Secure E-voting (11 papers). The work is most often cited by research in Signal Processing (1.4k citations), Software (373 citations), Computer Networks and Communications (1.4k citations), Information Systems (1.2k citations) and Artificial Intelligence (1.4k citations). Danfeng Yao has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Xiaokui Shu, Long Cheng, Ke Tian, Fang Liu, Barbara G. Ryder, Long Cheng, Ya Xiao, Naren Ramakrishnan, Guojun Peng and Karim O. Elish. Their work appears in journals such as IEEE Transactions on Dependable and Secure Computing, Computers & Security, IEEE Transactions on Software Engineering, ACM Transactions on Privacy and Security and ACM Transactions on Information and System Security.

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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