Daiping Liu
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
- Caching and Content Delivery
Papers in
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- Network Security and Intrusion Detection 9
- Caching and Content Delivery 3
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- Internet Traffic Analysis and Secure E-voting 5
- Security and Verification in Computing 5
- Co-authors
- Haining Wang (11 shared papers)Angelos Stavrou (6 shared papers)Shuai Hao (1 shared paper)Haitao Xu (2 shared papers)Mingwei Zhang (2 shared papers)Haixin Duan (2 shared papers)Zhou Li (1 shared paper)Baojun Liu (1 shared paper)
- Journals
- ACM Transactions on the Web (1 paper)Journal of Computer Applications (1 paper)VTechWorks (Virginia Tech) (2 papers)Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security (1 paper)W&M Publish (College of William & Mary) (1 paper)
- Partner nations
- United StatesChinaGhana
In The Last Decade
Daiping Liu
15 papers receiving 230 citations
Peers
Comparison fields: 5 of 36
- Signal Processing 103
- Computer Networks and Communications 135
- Information Systems 126
- Artificial Intelligence 123
- Hardware and Architecture 17
Countries citing papers authored by Daiping Liu
This map shows the geographic impact of Daiping Liu'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 Daiping Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daiping Liu more than expected).
Fields of papers citing papers by Daiping Liu
This network shows the impact of papers produced by Daiping Liu. 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 Daiping Liu. The network helps show where Daiping Liu may publish in the future.
Co-authors
The 22 scholars most cited alongside Daiping Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 49 | |
| 2 | 2015 | 46 | |
| 3 | 2014 | 40 | |
| 4 | 2017 | 32 | |
| 5 | 2018 | 19 | |
| 6 | 2017 | 17 | |
| 7 | 2021 | 14 | |
| 8 | 2017 | 8 | |
| 9 | 2023 | 4 | |
| 10 | 2008 | 3 | |
| 11 | 2016 | 2 | |
| 12 | 2023 | 2 | |
| 13 | 2017 | 2 | |
| 14 | 2010 | 1 | |
| 15 | 2022 | 1 | |
| 16 | 2024 | 0 | |
| 17 | 2009 | 0 |
About Daiping Liu
Daiping Liu is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Information Systems and Hardware and Architecture, having authored 17 papers that have together received 240 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (9 papers), Advanced Malware Detection Techniques (8 papers), Spam and Phishing Detection (5 papers), Internet Traffic Analysis and Secure E-voting (5 papers), Security and Verification in Computing (5 papers), Caching and Content Delivery (3 papers), Green IT and Sustainability (2 papers) and Blockchain Technology Applications and Security (2 papers). The work is most often cited by research in Signal Processing (103 citations), Computer Networks and Communications (135 citations), Information Systems (126 citations), Artificial Intelligence (123 citations) and Hardware and Architecture (17 citations). Daiping Liu has collaborated with scholars based in United States, China and Ghana. Frequent co-authors include Haining Wang, Angelos Stavrou, Shuai Hao, Haitao Xu, Mingwei Zhang, Haixin Duan, Zhou Li, Baojun Liu, Xing Gao and Shuai Hao. Their work appears in journals such as ACM Transactions on the Web, Journal of Computer Applications, VTechWorks (Virginia Tech), Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security and W&M Publish (College of William & Mary).
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.