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

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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 →

Peers

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

#	Work	Indexed citations
1	A comprehensive evaluation of deep learning approaches for ground-level ozone prediction across different regions 2025 ·Ecological Informatics ·Guanjun Lin, (unknown), (unknown)	3
2	Adaptive Differentiated Parrot Optimization: A Multi-Strategy Enhanced Algorithm for Global Optimization with Wind Power Forecasting Applications 2025 ·Biomimetics ·Guanjun Lin, Mahmoud Abdel-Salam, Gang Hu, Heming Jia	1
3	Software vulnerable functions discovery based on code composite feature 2024 ·Journal of Information Security and Applications ·Xue Yuan, Guanjun Lin, (unknown), Yonghang Tai, Jun Zhang	2
4	Enhancing vulnerability detection efficiency: An exploration of light-weight LLMs with hybrid code features 2024 ·Journal of Information Security and Applications ·(unknown), Guanjun Lin, (unknown), Fan Yang, Yonghang Tai	4
5	Boosting aquila optimizer by marine predators algorithm for combinatorial optimization 2024 ·Journal of Computational Design and Engineering ·Shuang Wang, Heming Jia, Abdelazim G. Hussien, Laith Abualigah, Guanjun Lin, Hongwei Wei, (unknown), Krishna Gopal Dhal	6
6	Detecting vulnerabilities in IoT software: New hybrid model and comprehensive data analysis 2023 ·Journal of Information Security and Applications ·(unknown), Guanjun Lin, Fang Da, Jun Zhang	7
7	Multi-theme hierarchical monitoring method for wireless sensor networks 2023 ·Wireless Networks ·(unknown), Guanjun Lin, Lili Sun, (unknown)	1
8	Deep Neural Embedding for Software Vulnerability Discovery: Comparison and Optimization 2022 ·Security and Communication Networks ·Xue Yuan, Guanjun Lin, Yonghang Tai, Jun Zhang	24
9	Distilled and Contextualized Neural Models Benchmarked for Vulnerable Function Detection 2022 ·Mathematics ·Guanjun Lin, Heming Jia, Di Wu	4
10	Intelligent detection of vulnerable functions in software through neural embedding‐based code analysis 2022 ·International Journal of Network Management ·Peng Zeng, Guanjun Lin, Jun Zhang, Ying Zhang	5
11	Deep neural-based vulnerability discovery demystified: data, model and performance 2021 ·Neural Computing and Applications ·Guanjun Lin, Xiao Wei, Leo Yu Zhang, Shang Gao, Yonghang Tai, Jun Zhang	20
12	A Context-Aware Neural Embedding for Function-Level Vulnerability Detection 2021 ·Algorithms ·Hongwei Wei, Guanjun Lin, Lin Li, Heming Jia	9
13	Software Vulnerability Analysis and Discovery Using Deep Learning Techniques: A Survey 2020 ·IEEE Access ·Peng Zeng, Guanjun Lin, Lei Pan, Yonghang Tai, Jun Zhang	46
14	Neural Model Stealing Attack to Smart Mobile Device on Intelligent Medical Platform 2020 ·Wireless Communications and Mobile Computing ·(unknown), Guanjun Lin, Bixuan Gao, (unknown), Yonghang Tai, Jun Zhang	6
15	Software Vulnerability Detection Using Deep Neural Networks: A Survey breakdown → 2020 ·Proceedings of the IEEE ·Guanjun Lin, Sheng Wen, Qing‐Long Han, Jun Zhang, Yang Xiang	295
16	Cyber Resilience in Healthcare Digital Twin on Lung Cancer 2020 ·IEEE Access ·Jun Zhang, Lin Li, Guanjun Lin, Fang Da, Yonghang Tai, Jiechun Huang	80
17	CD-VulD: Cross-Domain Vulnerability Discovery Based on Deep Domain Adaptation 2020 ·IEEE Transactions on Dependable and Secure Computing ·(unknown), Guanjun Lin, Lizhen Qu, Jun Zhang, Olivier De Vel, Paul Montague, Yang Xiang	53
18	Software Vulnerability Discovery via Learning Multi-Domain Knowledge Bases 2019 ·IEEE Transactions on Dependable and Secure Computing ·Guanjun Lin, Jun Zhang, Wei Luo, Lei Pan, Olivier De Vel, Paul Montague, Yang Xiang	84
19	DeepBalance: Deep-Learning and Fuzzy Oversampling for Vulnerability Detection 2019 ·IEEE Transactions on Fuzzy Systems ·Shigang Liu, Guanjun Lin, Qing‐Long Han, Sheng Wen, Jun Zhang, Yang Xiang	86
20	Cross-Project Transfer Representation Learning for Vulnerable Function Discovery 2018 ·IEEE Transactions on Industrial Informatics ·Guanjun Lin, Jun Zhang, Wei Luo, Lei Pan, Yang Xiang, Olivier De Vel, Paul Montague	148

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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