Dan Lo
Impact in
- Signal Processing top 2%
- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
- IoT and Edge/Fog Computing
Papers in ⓘ
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- Spam and Phishing Detection 8
- Digital and Cyber Forensics 4
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- Anomaly Detection Techniques and Applications 7
- Co-authors
- Kai Qian (30 shared papers)Jing He (2 shared papers)Hossain Shahriar (23 shared papers)Ying Xie (1 shared paper)Md Jobair Hossain Faruk (3 shared papers)Ying Qian (4 shared papers)Lixin Tao (3 shared papers)Mohammad Masum (3 shared papers)
- Journals
- Sustainable Computing Informatics and Systems (1 paper)Land Use Policy (1 paper)Nanotechnology (1 paper)Brain Sciences (1 paper)ACM Transactions on Architecture and Code Optimization (1 paper)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Dan Lo
64 papers receiving 561 citations
Peers
Comparison fields: 5 of 77
- Signal Processing 283
- Computer Networks and Communications 317
- Information Systems 291
- Software 48
- Computer Science Applications 36
Countries citing papers authored by Dan Lo
This map shows the geographic impact of Dan Lo'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 Dan Lo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Lo more than expected).
Fields of papers citing papers by Dan Lo
This network shows the impact of papers produced by Dan Lo. 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 Dan Lo. The network helps show where Dan Lo may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Lo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 85 | |
| 2 | 2022 | 63 | |
| 3 | 2021 | 61 | |
| 4 | 2017 | 58 | |
| 5 | 2015 | 55 | |
| 6 | 2015 | 30 | |
| 7 | 2020 | 24 | |
| 8 | 2013 | 15 | |
| 9 | 2024 | 13 | |
| 10 | 2015 | 13 | |
| 11 | 2018 | 11 | |
| 12 | 2016 | 11 | |
| 13 | 2018 | 11 | |
| 14 | 2015 | 8 | |
| 15 | 2015 | 8 | |
| 16 | 2020 | 7 | |
| 17 | 2017 | 7 | |
| 18 | 2016 | 6 | |
| 19 | 2014 | 5 | |
| 20 | 2022 | 5 |
About Dan Lo
Dan Lo is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Signal Processing and Media Technology, having authored 73 papers that have together received 597 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (24 papers), Network Security and Intrusion Detection (14 papers), Spam and Phishing Detection (8 papers), Anomaly Detection Techniques and Applications (7 papers), Experimental Learning in Engineering (7 papers), IoT and Edge/Fog Computing (5 papers), Software Testing and Debugging Techniques (5 papers) and Digital and Cyber Forensics (4 papers). The work is most often cited by research in Signal Processing (283 citations), Computer Networks and Communications (317 citations), Information Systems (291 citations), Software (48 citations) and Computer Science Applications (36 citations). Dan Lo has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Kai Qian, Jing He, Hossain Shahriar, Ying Xie, Md Jobair Hossain Faruk, Ying Qian, Lixin Tao, Mohammad Masum, Fan Wu and Michael E. Whitman. Their work appears in journals such as Sustainable Computing Informatics and Systems, Land Use Policy, Nanotechnology, Brain Sciences and ACM Transactions on Architecture and Code Optimization.
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.