Yun Lin

1.5k total citations · 1 hit paper
49 papers, 955 citations indexed

About

Yun Lin is a scholar working on Information Systems, Artificial Intelligence and Software. According to data from OpenAlex, Yun Lin has authored 49 papers receiving a total of 955 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Information Systems, 23 papers in Artificial Intelligence and 18 papers in Software. Recurrent topics in Yun Lin's work include Software Engineering Research (19 papers), Software Testing and Debugging Techniques (16 papers) and Advanced Malware Detection Techniques (12 papers). Yun Lin is often cited by papers focused on Software Engineering Research (19 papers), Software Testing and Debugging Techniques (16 papers) and Advanced Malware Detection Techniques (12 papers). Yun Lin collaborates with scholars based in China, Singapore and Australia. Yun Lin's co-authors include Jin Song Dong, Jun Sun, Guangdong Bai, Pardeep Kumar, Andrew Paverd, Andrew Martin, Quang Tran Minh, Long Hoang Pham, Tai D. Nguyen and Yinxing Xue and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Transactions on Software Engineering and Knowledge-Based Systems.

In The Last Decade

Yun Lin

38 papers receiving 932 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.

Smart Grid Metering Networks: A Survey on Security, Privacy and Open Research Issues

2019 233 citations Pardeep Kumar, Yun Lin et al. IEEE Communications Surveys & Tutorials profile →

Peers

Countries citing papers authored by Yun Lin

Since Specialization

Citations

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

Fields of papers citing papers by Yun Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Yun Lin. A scholar is included among the top collaborators of Yun 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 Yun Lin. Yun 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 Sample-Free Compilation Framework for Efficient Dynamic Tensor Computation 2025 ·Yangjie Zhou, (unknown), (unknown), (unknown), Zihan Liu, Peng Chen, Mohamed Wahib, Cong Guo, (unknown), Jintao Meng, Haidong Lan, Jingwen Leng, Yun Lin, Jin Song Dong, (unknown), (unknown)	0
2	GUI Test Migration via Abstraction and Concretization 2025 ·ACM Transactions on Software Engineering and Methodology ·(unknown), (unknown), Xiaofei Xie, Yun Lin, Jin Song Dong, Dan Hao, Lu Zhang	0
3	GUIPilot: A Consistency-Based Mobile GUI Testing Approach for Detecting Application-Specific Bugs 2025 ·Proceedings of the ACM on software engineering. ·(unknown), (unknown), Yun Lin, (unknown), (unknown), Denys Poshyvanyk, Jin Song Dong	0
4	Automated Program Refinement: Guide and Verify Code Large Language Model with Refinement Calculus 2025 ·Proceedings of the ACM on Programming Languages ·(unknown), Zhé Hóu, David Sanán, (unknown), Yun Lin, Jun Sun, Jin Song Dong	2
5	A Symbolic Rule Integration Framework with Logic Transformer for Inductive Relation Prediction 2024 ·(unknown), Jun Liu, (unknown), (unknown), Yun Lin, Jin Song Dong	0
6	Detecting and Explaining Anomalies Caused by Web Tamper Attacks via Building Consistency-based Normality 2024 ·(unknown), (unknown), Yun Lin, (unknown), Xiaofei Xie, Ruitao Feng, (unknown), Hongyu Zhang, Jin Song Dong	0
7	Multi-Relational Semantic Awareness for Knowledge Graph Completion 2024 ·(unknown), (unknown), (unknown), Yun Lin	0
8	Empower Post-hoc Graph Explanations with Information Bottleneck: A Pre-training and Fine-tuning Perspective 2023 ·Griffith Research Online (Griffith University, Queensland, Australia) ·Jihong Wang, Minnan Luo, Jundong Li, Yun Lin, Yushun Dong, Jin Song Dong, Qinghua Zheng	2
9	Self-Checking Deep Neural Networks for Anomalies and Adversaries in Deployment 2022 ·IEEE Transactions on Dependable and Secure Computing ·Yan Xiao, Ivan Beschastnikh, Yun Lin, (unknown), Xiaofei Xie, David S. Rosenblum, Jin Song Dong	5
10	Stochastic Ghost Batch for Self-distillation with Dynamic Soft Label 2022 ·Knowledge-Based Systems ·Qian Li, Qingyuan Hu, Saiyu Qi, Yong Qi, (unknown), Yun Lin, (unknown)	3
11	RegMiner: towards constructing a large regression dataset from code evolution history 2022 ·Griffith Research Online (Griffith University, Queensland, Australia) ·(unknown), Yun Lin, (unknown), Yijian Wu, Xin Peng, Jin Song Dong, Hong Mei	4
12	Phishpedia: A Hybrid Deep Learning Based Approach to Visually Identify Phishing Webpages 2021 ·Griffith Research Online (Griffith University, Queensland, Australia) ·Yun Lin, (unknown), Dinil Mon Divakaran, (unknown), (unknown), Yiwen Lu, (unknown), Fan Zhang, Jin Song Dong	27
13	Graph-based seed object synthesis for search-based unit testing 2021 ·Griffith Research Online (Griffith University, Queensland, Australia) ·Yun Lin, (unknown), Jun Sun, Gordon Fraser, Jin Song Dong	22
14	Diagnosis strategy design method based on ant colony algorithm 2021 ·Journal of Physics Conference Series ·Yun Lin, (unknown)	2
15	Adversarial Adaptive Neighborhood With Feature Importance-Aware Convex Interpolation 2020 ·IEEE Transactions on Information Forensics and Security ·Qian Li, Yong Qi, Qingyuan Hu, Saiyu Qi, Yun Lin, Jin Song Dong	13
16	Electromagnetic signal modulation recognition technology based on lightweight deep neural network 2020 ·Journal of Communications ·Sicheng Zhang, Yun Lin, Ya Tu, Shiwen Mao	16
17	Smart Grid Metering Networks: A Survey on Security, Privacy and Open Research Issues breakdown → 2019 ·IEEE Communications Surveys & Tutorials ·Pardeep Kumar, Yun Lin, Guangdong Bai, Andrew Paverd, Jin Song Dong, Andrew Martin	233
18	Feedback-Based Debugging 2017 ·Griffith Research Online (Griffith University, Queensland, Australia) ·Yun Lin, Jun Sun, Yinxing Xue, Yang Liu, Jin Song Dong	36
19	Interactive and guided architectural refactoring with search-based recommendation 2016 ·Yun Lin, Xin Peng, Yuanfang Cai, Danny Dig, (unknown), Wenyun Zhao	61
20	EWA Detection Effectiveness Based on SEA Method 2012 ·Yun Lin	0

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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