Guanjun Lin

1.6k total citations · 1 hit paper
24 papers, 1.1k citations indexed

About

Guanjun Lin is a scholar working on Information Systems, Signal Processing and Software. According to data from OpenAlex, Guanjun Lin has authored 24 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Information Systems, 16 papers in Signal Processing and 10 papers in Software. Recurrent topics in Guanjun Lin's work include Advanced Malware Detection Techniques (16 papers), Software Engineering Research (15 papers) and Software Reliability and Analysis Research (9 papers). Guanjun Lin is often cited by papers focused on Advanced Malware Detection Techniques (16 papers), Software Engineering Research (15 papers) and Software Reliability and Analysis Research (9 papers). Guanjun Lin collaborates with scholars based in China, Australia and Egypt. Guanjun Lin's co-authors include Yang Xiang, Jun Zhang, Qing‐Long Han, Sheng Wen, Lei Pan, Wei Luo, Paul Montague, Olivier De Vel, Yonghang Tai and Jun Zhang and has published in prestigious journals such as Proceedings of the IEEE, IEEE Access and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Guanjun Lin

24 papers receiving 1.0k citations

Hit Papers

align trajectories sort by overperformance

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.

Software Vulnerability Detection Using Deep Neural Networks: A Survey

2020 295 citations Guanjun Lin, Sheng Wen et al. Proceedings of the IEEE profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Guanjun Lin	753	581	421	328	282	24	1.1k
Naeem Esfahani	432 0.6×	218 0.4×	291 0.7×	440 1.3×	445 1.6×	24	770
Javam C. Machado	472 0.6×	70 0.1×	235 0.6×	349 1.1×	233 0.8×	122	765
Neil Walkinshaw	416 0.6×	52 0.1×	407 1.0×	202 0.6×	233 0.8×	52	749
Iván Porres	687 0.9×	55 0.1×	306 0.7×	574 1.8×	309 1.1×	89	1.1k
Daniele Sgandurra	589 0.8×	703 1.2×	209 0.5×	720 2.2×	288 1.0×	50	1.1k
Tingting Yu	433 0.6×	123 0.2×	434 1.0×	340 1.0×	207 0.7×	89	865
Ludovic Piètre-Cambacédès	406 0.5×	113 0.2×	135 0.3×	210 0.6×	119 0.4×	12	729
Shi Ying	702 0.9×	57 0.1×	576 1.4×	404 1.2×	293 1.0×	56	941
Andrii Shalaginov	314 0.4×	338 0.6×	56 0.1×	378 1.2×	221 0.8×	47	640
Phu H. Nguyen	238 0.3×	66 0.1×	64 0.2×	162 0.5×	153 0.5×	50	450

Countries citing papers authored by Guanjun Lin

Since Specialization

Citations

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

Fields of papers citing papers by Guanjun Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guanjun Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Guanjun Lin. A scholar is included among the top collaborators of Guanjun Lin 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 Guanjun Lin. Guanjun Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Lin, Guanjun, et al.. (2025). A comprehensive evaluation of deep learning approaches for ground-level ozone prediction across different regions. Ecological Informatics. 86. 103024–103024. 3 indexed citations

Lin, Guanjun, Mahmoud Abdel-Salam, Gang Hu, & Heming Jia. (2025). Adaptive Differentiated Parrot Optimization: A Multi-Strategy Enhanced Algorithm for Global Optimization with Wind Power Forecasting Applications. Biomimetics. 10(8). 542–542. 1 indexed citations

Wang, Shuang, Heming Jia, Abdelazim G. Hussien, et al.. (2024). Boosting aquila optimizer by marine predators algorithm for combinatorial optimization. Journal of Computational Design and Engineering. 11(2). 37–69. 6 indexed citations

Yuan, Xue, et al.. (2024). Software vulnerable functions discovery based on code composite feature. Journal of Information Security and Applications. 81. 103718–103718. 2 indexed citations

Lin, Guanjun, et al.. (2024). Enhancing vulnerability detection efficiency: An exploration of light-weight LLMs with hybrid code features. Journal of Information Security and Applications. 88. 103925–103925. 4 indexed citations

Lin, Guanjun, et al.. (2023). Detecting vulnerabilities in IoT software: New hybrid model and comprehensive data analysis. Journal of Information Security and Applications. 74. 103467–103467. 7 indexed citations

Lin, Guanjun, et al.. (2023). Multi-theme hierarchical monitoring method for wireless sensor networks. Wireless Networks. 30(8). 6761–6771. 1 indexed citations

Yuan, Xue, Guanjun Lin, Yonghang Tai, & Jun Zhang. (2022). Deep Neural Embedding for Software Vulnerability Discovery: Comparison and Optimization. Security and Communication Networks. 2022. 1–12. 24 indexed citations

Zeng, Peng, Guanjun Lin, Jun Zhang, & Ying Zhang. (2022). Intelligent detection of vulnerable functions in software through neural embedding‐based code analysis. International Journal of Network Management. 33(3). 5 indexed citations

10.

Lin, Guanjun, Heming Jia, & Di Wu. (2022). Distilled and Contextualized Neural Models Benchmarked for Vulnerable Function Detection. Mathematics. 10(23). 4482–4482. 4 indexed citations

11.

Zhu, Yuhui, et al.. (2022). The application of neural network for software vulnerability detection: a review. Neural Computing and Applications. 35(2). 1279–1301. 8 indexed citations

12.

Lin, Guanjun, Xiao Wei, Leo Yu Zhang, et al.. (2021). Deep neural-based vulnerability discovery demystified: data, model and performance. Neural Computing and Applications. 33(20). 13287–13300. 20 indexed citations

13.

Lin, Guanjun, et al.. (2020). Neural Model Stealing Attack to Smart Mobile Device on Intelligent Medical Platform. Wireless Communications and Mobile Computing. 2020. 1–10. 6 indexed citations

14.

Zeng, Peng, Guanjun Lin, Lei Pan, Yonghang Tai, & Jun Zhang. (2020). Software Vulnerability Analysis and Discovery Using Deep Learning Techniques: A Survey. IEEE Access. 8. 197158–197172. 46 indexed citations

15.

Lin, Guanjun, Sheng Wen, Qing‐Long Han, Jun Zhang, & Yang Xiang. (2020). Software Vulnerability Detection Using Deep Neural Networks: A Survey. Proceedings of the IEEE. 108(10). 1825–1848. 295 indexed citations breakdown →

16.

Zhang, Jun, Lin Li, Guanjun Lin, et al.. (2020). Cyber Resilience in Healthcare Digital Twin on Lung Cancer. IEEE Access. 8. 201900–201913. 80 indexed citations

17.

Lin, Guanjun, Lizhen Qu, Jun Zhang, et al.. (2020). CD-VulD: Cross-Domain Vulnerability Discovery Based on Deep Domain Adaptation. IEEE Transactions on Dependable and Secure Computing. 19(1). 438–451. 53 indexed citations

18.

Lin, Guanjun, Jun Zhang, Wei Luo, et al.. (2019). Software Vulnerability Discovery via Learning Multi-Domain Knowledge Bases. IEEE Transactions on Dependable and Secure Computing. 18(5). 2469–2485. 84 indexed citations

19.

Lin, Guanjun, Jun Zhang, Wei Luo, et al.. (2018). Cross-Project Transfer Representation Learning for Vulnerable Function Discovery. IEEE Transactions on Industrial Informatics. 14(7). 3289–3297. 148 indexed citations

20.

Lin, Guanjun, Jun Zhang, Wei Luo, Lei Pan, & Yang Xiang. (2017). POSTER. Swinburne Research Bank (Swinburne University of Technology). 2539–2541. 92 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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