Danfeng Yao

130 papers receiving 3.0k citations

Danfeng Yao's Hit Papers

Deep Learning-based Anomaly Detection in Cyber-physical Systems 2021 · 158 citations
1580+2+5Years since publication50100150200

Peers

Danfeng Yao
Comparison fields: 5 of 143
  • Signal Processing 1.6k
  • Software 456
  • Computer Networks and Communications 1.5k
  • Information Systems 1.3k
  • Artificial Intelligence 1.4k
Replace Jiqiang Liu with:
Jiqiang Liu China
Yu Jiang China
Prateek Saxena Singapore
Deqing Zou China
Hao Chen United States
Radu State Luxembourg
Alexander Pretschner Germany
Sitalakshmi Venkatraman Australia
Indrajit Ray United States
Martin Vechev Switzerland
Danfeng Yao relative to Jiqiang Liu China Jiqiang Liu's profile →
Citations per field
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Jiqiang Liu · 1×
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 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1
DroidCat: Effective Android Malware Detection and Categorization via App-Level Profiling
Hit paper breakdown →
2018216
2 2017182
3
Deep Learning-based Anomaly Detection in Cyber-physical Systems
Hit paper breakdown →
2021158
4 2005148
5 201297
6 201489
7 201881
8 201680
9 201779
10 201575
11 200474
12 201766
13 200965
14 201864
15 201964
16 200461
17 201553
18 201752
19 201550
20 201347

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 139 papers that have together received 3.2k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (81 papers), Network Security and Intrusion Detection (51 papers), Security and Verification in Computing (29 papers), Cryptography and Data Security (17 papers), Software Testing and Debugging Techniques (17 papers), Privacy-Preserving Technologies in Data (14 papers), Access Control and Trust (14 papers) and Internet Traffic Analysis and Secure E-voting (11 papers). The work is most often cited by research in Signal Processing (1.6k citations), Software (456 citations), Computer Networks and Communications (1.5k citations), Information Systems (1.3k citations) and Artificial Intelligence (1.4k citations). Danfeng Yao has collaborated with scholars based in United States, China and Kuwait. Frequent co-authors include Barbara G. Ryder, Xiaokui Shu, Na Meng, Long Cheng, Ke Tian, Fang Liu, Haipeng Cai, Long Cheng, Ya Xiao and Naren Ramakrishnan. Their work appears in journals such as IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Software Engineering, Computers & Security, IEEE Transactions on Information Forensics 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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