Junyang Qiu

819 citations
24 papers · 603 · 1 hit paper · h-index 12

Impact in

Papers in

Junyang Qiu

22 papers receiving 590 citations

Junyang Qiu's Hit Papers

A Survey of Android Malware Detection with Deep Neural Models 2020 · 239 citations
2390+2+4Years since publication50100150200

Peers

Junyang Qiu
Comparison fields: 5 of 67
  • Signal Processing 347
  • Software 80
  • Computer Networks and Communications 321
  • Information Systems 222
  • Artificial Intelligence 244
Replace Asankhaya Sharma with:
Asankhaya Sharma Singapore
Kaixin Sui China
Qinkai Zheng China
Qiujian Lv China
Weizhong Qiang China
Peng Jia China
Youngsoo Kim South Korea
Renato Levy United States
Mathy Vanhoef Belgium
Dejun Mu China
Junyang Qiu relative to Asankhaya Sharma Singapore Asankhaya Sharma's profile →
Citations per field
00.5×2×3×3.5×
Asankhaya Sharma · 1×
Citations per year

Countries citing papers authored by Junyang Qiu

Since Specialization
Citations

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

Fields of papers citing papers by Junyang Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Survey of Android Malware Detection with Deep Neural Models
Hit paper breakdown →
2020239
2 202054
3 202042
4 202238
5 201936
6 201935
7 201826
8 201923
9 201917
10 201917
11 202014
12 201913
13 202112
14 20207
15 20206
16 20225
17 20245
18 20244
19 20163
20 20232

About Junyang Qiu

Junyang Qiu is a scholar working on Signal Processing, Computer Networks and Communications, Artificial Intelligence, Software and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 603 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (8 papers), Network Security and Intrusion Detection (8 papers), Video Surveillance and Tracking Methods (4 papers), Digital and Cyber Forensics (3 papers), Software Testing and Debugging Techniques (3 papers), Anomaly Detection Techniques and Applications (3 papers), Complex Network Analysis Techniques (3 papers) and Traffic Prediction and Management Techniques (2 papers). The work is most often cited by research in Signal Processing (347 citations), Software (80 citations), Computer Networks and Communications (321 citations), Information Systems (222 citations) and Artificial Intelligence (244 citations). Junyang Qiu has collaborated with scholars based in China and Australia. Frequent co-authors include Prof. Yang Xiang, Wei Luo, Lei Pan, ‪Surya Nepal‬, Jun Zhang, Zhisong Pan, Guanjun Lin, Paul Rimba, Nan Sun and Wei Li. Their work appears in journals such as IEEE Access, Neurocomputing, ACM Computing Surveys, Information and Software Technology and Computers & 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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