Junyang Qiu

800 citations
24 papers · 572 · 1 hit paper · h-index 12

Impact in

Papers in

Junyang Qiu

22 papers receiving 558 citations

Junyang Qiu's Hit Papers

A Survey of Android Malware Detection with Deep Neural Models 2020 · 228 citations
2280+2+4Years since publication50100150200

Peers

Junyang Qiu
Comparison fields: 5 of 62
  • Signal Processing 333
  • Software 78
  • Computer Networks and Communications 319
  • Information Systems 219
  • Artificial Intelligence 238
Replace Asankhaya Sharma with:
Asankhaya Sharma Singapore
Youngsoo Kim South Korea
Weizhong Qiang China
Qiujian Lv China
Qinkai Zheng China
Renato Levy United States
Peng Jia China
P. Vinod India
Samaneh Mahdavifar Canada
Yunhan Jia United States
Junyang Qiu relative to Asankhaya Sharma Singapore Asankhaya Sharma's profile →
Citations per field
00.5×1.5×2×2.3×
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 →
2020228
2 202054
3 202038
4 201937
5 202235
6 201932
7 201825
8 201923
9 201917
10 201916
11 202014
12 201913
13 202111
14 20207
15 20206
16 20224
17 20163
18 20242
19 20182
20 20232

About Junyang Qiu

Junyang Qiu is a scholar working on Signal Processing, Artificial Intelligence, Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 572 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (8 papers), Advanced Malware Detection Techniques (8 papers), Video Surveillance and Tracking Methods (4 papers), Digital and Cyber Forensics (3 papers), Anomaly Detection Techniques and Applications (3 papers), Software Testing and Debugging Techniques (3 papers), Complex Network Analysis Techniques (3 papers) and Adversarial Robustness in Machine Learning (2 papers). The work is most often cited by research in Signal Processing (333 citations), Software (78 citations), Computer Networks and Communications (319 citations), Information Systems (219 citations) and Artificial Intelligence (238 citations). Junyang Qiu has collaborated with scholars based in China and Australia. Frequent co-authors include Wei Luo, Lei Pan, Yang Xiang, ‪Surya Nepal‬, Jun Zhang, Zhisong Pan, Guanjun Lin, Nan Sun, Paul Rimba and Wei Li. Their work appears in journals such as IEEE Access, Neurocomputing, Information and Software Technology, ACM Computing Surveys and Engineering Applications of Artificial Intelligence.

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.

Explore authors with similar magnitude of impact