Chienting Lin

20 papers receiving 276 citations

Peers

Chienting Lin
Comparison fields: 5 of 60
  • Information Systems and Management 76
  • Information Systems 116
  • Communication 34
  • Management Information Systems 29
  • Signal Processing 32
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Danny Poo Singapore
Alexander Pons United States
Kai Rannenberg Germany
Mark B. Schmidt United States
Abdulrahman Mirza Saudi Arabia
Ting Lie Taiwan
Babak Akhgar United Kingdom
Timothy J Berners-Lee
Robin R. Sewell United States
Osama Harfoushi Jordan
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Citations per field
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Citations per year

Countries citing papers authored by Chienting Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chienting Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Chienting Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chienting Lin Line = papers co-authored together Chienting Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199665
2 199942
3 200440
4 200436
5 200420
6 201015
7 199715
8 200314
9
Combining Theory with Practice in Information Security Education
200710
10 20059
11
User acceptance of Intelligence and Security Informatics technology: A study of COPLINK: Research Articles
20058
12
Virtual Open-Source Labs for Web Security Education
20108
13 20037
14 20077
15 20104
16 20023
17
Improving Web Security Education with Virtual Labs and Shared Course Modules
20103
18
Examining technology usability and acceptance in digital government: A case study in law enforcement
20042
19
Process-Driven Collaboration Support for Intra-Agency Crime Analysis
20101
20
A Parallel Computing Approach to Creating Engineering Concept Spaces for Retrieval: The Illinios Digital Library Initiative Project
19961

About Chienting Lin

Chienting Lin is a scholar working on Information Systems, Sociology and Political Science, Information Systems and Management, Artificial Intelligence and Management Information Systems, having authored 21 papers that have together received 311 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (5 papers), Business Process Modeling and Analysis (3 papers), Privacy, Security, and Data Protection (3 papers), Experimental Learning in Engineering (2 papers), Web Data Mining and Analysis (2 papers), Information and Cyber Security (2 papers), Neural Networks and Applications (2 papers) and Cybercrime and Law Enforcement Studies (2 papers). The work is most often cited by research in Information Systems and Management (76 citations), Information Systems (116 citations), Communication (34 citations), Management Information Systems (29 citations) and Signal Processing (32 citations). Chienting Lin has collaborated with scholars based in United States, Hong Kong and Taiwan. Frequent co-authors include Hsinchun Chen, Hsinchun Chen, Paul Jen‐Hwa Hu, Jay F. Nunamaker, Bruce R. Schatz, Tobun D. Ng, Li‐Chiou Chen, Tsung‐Hsien Kuo, Lixin Tao and Li‐An Ho. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Decision Support Systems, Social Science Computer Review, Industrial Management & Data Systems and Educational Studies.

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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