Junyang Qiu

781 total citations · 1 hit paper
21 papers, 463 citations indexed

About

Junyang Qiu is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Junyang Qiu has authored 21 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Computer Networks and Communications and 7 papers in Signal Processing. Recurrent topics in Junyang Qiu's work include Network Security and Intrusion Detection (7 papers), Advanced Malware Detection Techniques (6 papers) and Video Surveillance and Tracking Methods (4 papers). Junyang Qiu is often cited by papers focused on Network Security and Intrusion Detection (7 papers), Advanced Malware Detection Techniques (6 papers) and Video Surveillance and Tracking Methods (4 papers). Junyang Qiu collaborates with scholars based in China and Australia. Junyang Qiu's co-authors include Lei Pan, Wei Luo, Yang Xiang, ‪Surya Nepal‬, Jun Zhang, Zhisong Pan, Nan Sun, Guanjun Lin, Paul Rimba and Xingyu Zhou and has published in prestigious journals such as IEEE Access, ACM Computing Surveys and IEEE Transactions on Cybernetics.

In The Last Decade

Junyang Qiu

19 papers receiving 449 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Survey of Android Malware Detection with Deep Neural Models

2020 204 citations Junyang Qiu, Jun Zhang et al. ACM Computing Surveys profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Junyang Qiu China	11	270	265	191	183	63	21	463
Yunhan Jia United States	10	199 0.7×	142 0.5×	178 0.9×	99 0.5×	45 0.7×	16	386
P. Vinod India	16	568 2.1×	496 1.9×	241 1.3×	297 1.6×	128 2.0×	82	775
Grégory Blanc France	12	211 0.8×	323 1.2×	259 1.4×	156 0.9×	15 0.2×	33	569
Tianlong Yu United States	9	153 0.6×	373 1.4×	163 0.9×	135 0.7×	21 0.3×	14	486
K. V. S. V. N. Raju India	10	261 1.0×	262 1.0×	207 1.1×	125 0.7×	47 0.7×	38	493
Qiujian Lv China	8	176 0.7×	241 0.9×	129 0.7×	100 0.5×	12 0.2×	32	370
Weizhong Qiang China	12	133 0.5×	361 1.4×	233 1.2×	246 1.3×	18 0.3×	63	606
Youngsoo Kim South Korea	13	194 0.7×	377 1.4×	180 0.9×	109 0.6×	13 0.2×	41	500
Chaochao Luo China	5	193 0.7×	309 1.2×	242 1.3×	139 0.8×	5 0.1×	6	436

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-authorship network of co-authors of Junyang Qiu

This figure shows the co-authorship network connecting the top 25 collaborators of Junyang Qiu. A scholar is included among the top collaborators of Junyang Qiu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Junyang Qiu. Junyang Qiu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Qiu, Junyang, et al.. (2025). A survey of coverage-guided greybox fuzzing with deep neural models. Information and Software Technology. 186. 107797–107797.

2.

Wang, Lei, et al.. (2024). Rotation Exploration Transformer for Aerial Person Re-identification. 1–6. 1 indexed citations

3.

Qiu, Junyang, Zhanxiang Feng, Lei Wang, & Jianhuang Lai. (2024). Salient Part-Aligned and Keypoint Disentangling Transformer for Person Re-Identification in Aerial Imagery. 1–6. 1 indexed citations

4.

Qiu, Junyang, et al.. (2023). Cyber Code Intelligence for Android Malware Detection.. PubMed. 53(1). 617–627. 1 indexed citations

5.

Qiu, Junyang, Qing‐Long Han, Wei Luo, et al.. (2022). Cyber Code Intelligence for Android Malware Detection. IEEE Transactions on Cybernetics. 53(1). 617–627. 28 indexed citations

6.

Li, Junjun, Run Liu, Dongdong Zhang, et al.. (2022). In-situ deposition of tungsten oxide hole-contact by Hot-Wire CVD and its application in dopant-free heterojunction solar cells. Semiconductor Science and Technology. 38(1). 15007–15007. 3 indexed citations

7.

Qiu, Junyang, et al.. (2021). Joint network embedding of network structure and node attributes via deep autoencoder. Neurocomputing. 468. 198–210. 11 indexed citations

8.

Hu, Guyu, et al.. (2020). FLGAI: a unified network embedding framework integrating multi-scale network structures and node attribute information. Applied Intelligence. 50(11). 3976–3989. 6 indexed citations

9.

Qiu, Junyang, Jun Zhang, Wei Luo, et al.. (2020). A Survey of Android Malware Detection with Deep Neural Models. ACM Computing Surveys. 53(6). 1–36. 204 indexed citations breakdown →

10.

Qiu, Junyang, et al.. (2020). A fast X-shaped foreground segmentation network with CompactASPP. Engineering Applications of Artificial Intelligence. 97. 104077–104077. 7 indexed citations

11.

Zhou, Xingyu, et al.. (2020). Mask-guided noise restriction adversarial attacks for image classification. Computers & Security. 100. 102111–102111. 12 indexed citations

12.

Li, Wei, et al.. (2019). HDSTF: A Hybrid Deep Spatio-Temporal Framework for Traffic Prediction. 2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP). 1–6. 1 indexed citations

13.

Qiu, Junyang, Wei Luo, Lei Pan, et al.. (2019). Predicting the Impact of Android Malicious Samples via Machine Learning. IEEE Access. 7. 66304–66316. 14 indexed citations

14.

Qiu, Junyang, Wei Luo, Lei Pan, et al.. (2019). A3CM: Automatic Capability Annotation for Android Malware. IEEE Access. 7. 147156–147168. 33 indexed citations

15.

Guo, Shize, et al.. (2019). A New Smart Router-Throttling Method to Mitigate DDoS Attacks. IEEE Access. 7. 107952–107963. 13 indexed citations

16.

Guo, Shize, et al.. (2019). How to Make Attention Mechanisms More Practical in Malware Classification. IEEE Access. 7. 155270–155280. 22 indexed citations

17.

Li, Wei, et al.. (2019). Densely Connected Convolutional Networks With Attention LSTM for Crowd Flows Prediction. IEEE Access. 7. 140488–140498. 31 indexed citations

18.

Pan, Zhisong, et al.. (2018). Online learning for vector autoregressive moving-average time series prediction. Neurocomputing. 315. 9–17. 23 indexed citations

19.

Qiu, Junyang, et al.. (2016). A novel semi-supervised approach for feature extraction. 6. 3765–3770. 2 indexed citations

20.

Qiu, Junyang, Yibing Wang, Zhisong Pan, & Bo Jia. (2014). Semi-Supervised Feature Selection with Universum Based on Linked Social Media Data. IEICE Transactions on Information and Systems. E97.D(9). 2522–2525. 1 indexed citations

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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