Hsiao-Chung Lin

507 citations

25 papers · 336 indexed · h-index 10

Computer Networks and Communications top 5%
Artificial Intelligence top 5%
Signal Processing top 5%
Electrical and Electronic Engineering
Information Systems

Co-authors: Wen‐Hui Lin Chia-Mei Chen Kuo‐Ming ChaoPing WangBaohua Wu Yalin Chen Chi‐Chun Lo Jiahong Chen
Topics: Network Security and Intrusion Detection (19 papers)Advanced Malware Detection Techniques (13 papers)Internet Traffic Analysis and Secure E-voting (7 papers)
Cited by: Signal Processing Computer Networks and Communications Artificial Intelligence
Journals: Applied Sciences Computer Communications Electronics
Partner nations: Taiwan United Kingdom Singapore

In The Last Decade

Hsiao-Chung Lin

21 papers receiving 313 citations

Peers

Replace Thabet Kacem with:

Thabet Kacem United States

Binghao Yan China

İlhan Fırat Kılınçer Türkiye

Nasrin Sultana Bangladesh

Hassan Mahdikhani Canada

R. Vijayanand India

Samuel Kounev Germany

Marcos V. O. de Assis Brazil

Frederica F. Nelson United States

Hsiao-Chung Lin relative to Thabet Kacem United States Thabet Kacem's profile →

Citations per field

00.5×2×3.3×

Thabet Kacem · 1×

×2.0 251/128

CNC

×2.3 207/90

AI

×1.2 136/113

SP

×0.9 72/76

EEE

×0.5 44/94

IS

Citations per year

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Countries citing papers authored by Hsiao-Chung Lin

Since Specialization

Citations

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

Fields of papers citing papers by Hsiao-Chung Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hsiao-Chung Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Hsiao-Chung Lin. A scholar is included among the top collaborators of Hsiao-Chung 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 Hsiao-Chung Lin. Hsiao-Chung 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	Improving Cyber Defense Against Ransomware: A Generative Adversarial Networks-Based Adversarial Training Approach for Long Short-Term Memory Network Classifier 2025 ·Electronics ·(unknown),Hsiao-Chung Lin,Jiahong Chen,Wen‐Hui Lin,Haizhou Li	2
2	A Transductive Zero-Shot Learning Framework for Ransomware Detection Using Malware Knowledge Graphs 2025 ·Information ·(unknown),Haizhou Li,Hsiao-Chung Lin,(unknown),Nan Xie	0
3	Using Knowledge Graph and Deep Reinforcement Learning for Malware Detection 2024 ·Hsiao-Chung Lin,(unknown),Ping Wang,Wen‐Hui Lin,(unknown)	0
4	Using Graph Neural Network to Ransomware Detection for Cyber Threats 2024 ·Hsiao-Chung Lin,Ping Wang,Wen‐Hui Lin,(unknown),(unknown),(unknown)	4
5	Graph Neural Network for Malware Detection and Classification on Renewable Energy Management Platform 2023 ·Hsiao-Chung Lin,Ping Wang,Wen‐Hui Lin,(unknown),Jiahong Chen	0
6	A Novel Method for Ransomware Family Detection on Deep Learning-based Models Using Adversarial Examples 2023 ·Ping Wang,Jiahong Chen,Hsiao-Chung Lin,Wen‐Hui Lin	1
7	Malware Detection and Classification by Graph Neural Network 2023 ·Hsiao-Chung Lin,Ping Wang,Wen‐Hui Lin,(unknown),Jiahong Chen	1
8	Quantum Photonic Chip for Binary Classification of Financial Data 2022 ·Hsiao-Chung Lin,Hui Zhang,Lingxiao Wan,Muhammad Faeyz Karim,Hong Cai,L. C. Kwek,A. Q. Liu	1
9	Using Deep Learning Networks to Identify Cyber Attacks on Intrusion Detection for In-Vehicle Networks 2022 ·Electronics ·Hsiao-Chung Lin,(unknown),Kuo‐Ming Chao,Wen‐Hui Lin,Jiahong Chen	27
10	Ensemble Learning for Threat Classification in Network Intrusion Detection on a Security Monitoring System for Renewable Energy 2021 ·Applied Sciences ·Hsiao-Chung Lin,(unknown),Kuo‐Ming Chao,Wen‐Hui Lin,(unknown)	10
11	Wind Power Forecasting with Deep Learning Networks: Time-Series Forecasting 2021 ·Applied Sciences ·Wen‐Hui Lin,(unknown),Kuo‐Ming Chao,Hsiao-Chung Lin,(unknown),(unknown)	56
12	Identifying the Attack Sources of Botnets for a Renewable Energy Management System by Using a Revised Locust Swarm Optimisation Scheme 2021 ·Symmetry ·Hsiao-Chung Lin,(unknown),(unknown),Kuo‐Ming Chao,(unknown)	2
13	A Multiple-Swarm Particle Swarm Optimisation Scheme for Tracing Packets Back to the Attack Sources of Botnet 2021 ·Applied Sciences ·Hsiao-Chung Lin,Ping Wang,Wen‐Hui Lin,Yu-Hsiang Huang	1
14	Implementation of a PSO-Based Security Defense Mechanism for Tracing the Sources of DDoS Attacks 2019 ·Computers ·Hsiao-Chung Lin,Ping Wang,Wen‐Hui Lin	9
15	An Efficient Flow Control Approach for SDN-Based Network Threat Detection and Migration Using Support Vector Machine 2016 ·Ping Wang,Kuo‐Ming Chao,Hsiao-Chung Lin,Wen‐Hui Lin,Chi‐Chun Lo	41
16	Using malware for software-defined networking–based smart home security management through a taint checking approach 2016 ·International Journal of Distributed Sensor Networks ·Ping Wang,Kuo‐Ming Chao,Chi‐Chun Lo,Wen‐Hui Lin,Hsiao-Chung Lin,(unknown)	7
17	An efficient network intrusion detection 2009 ·Computer Communications ·Chia-Mei Chen,Yalin Chen,Hsiao-Chung Lin	37
18	Anomaly Behavior Analysis for Web Page Inspection 2009 ·Chia-Mei Chen,(unknown),Hsiao-Chung Lin	5
19	An Alliance-Based Anti-spam Approach 2007 ·Yu-Fen Chiu,Chia-Mei Chen,Bingchiang Jeng,Hsiao-Chung Lin	11
20	Information Exchange Mechanism Based on Reputation in Mobile P2P Networks 2007 ·(unknown),Chia-Mei Chen,Bingchiang Jeng,(unknown),Hsiao-Chung Lin	1

About Hsiao-Chung Lin

Hsiao-Chung Lin is a scholar working on Signal Processing, Computer Networks and Communications and Artificial Intelligence, having authored 25 papers that have together received 336 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (19 papers), Advanced Malware Detection Techniques (13 papers) and Internet Traffic Analysis and Secure E-voting (7 papers). The work is most often cited by research in Signal Processing (136 citations), Computer Networks and Communications (251 citations) and Artificial Intelligence (207 citations). Hsiao-Chung Lin has collaborated with scholars based in Taiwan, United Kingdom and Singapore. Frequent co-authors include Wen‐Hui Lin, Chia-Mei Chen, Kuo‐Ming Chao, Ping Wang, Baohua Wu, Yalin Chen, Ping Wang, Chi‐Chun Lo, Jiahong Chen and Ping Wang. Their work appears in journals such as Applied Sciences, Computer Communications and Electronics.

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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