Dan Lin
Impact in
- Signal Processing top 1%
- Data Management and Algorithms
- Information Systems top 1%
- Cloud Data Security Solutions
Papers in
-
- Privacy-Preserving Technologies in Data 31
- Cryptography and Data Security 15
-
- Cloud Data Security Solutions 11
- Co-authors
- Anna Squicciarini (23 shared papers)Smitha Sundareswaran (8 shared papers)Elisa Bertino (17 shared papers)Jun Yu (3 shared papers)Baopeng Zhang (2 shared papers)Christian S. Jensen (5 shared papers)Beng Chin Ooi (4 shared papers)Jorge Lobo (9 shared papers)
- Journals
- IEEE Transactions on Dependable and Secure Computing (8 papers)IEEE Transactions on Knowledge and Data Engineering (4 papers)IEEE Transactions on Information Forensics and Security (4 papers)Computers & Security (3 papers)Proceedings of the VLDB Endowment (2 papers)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Dan Lin
89 papers receiving 2.3k citations
Dan Lin's Hit Papers
Peers
Comparison fields: 5 of 95
- Signal Processing 472
- Information Systems 780
- Computer Networks and Communications 766
- Artificial Intelligence 1.0k
- Transportation 213
Countries citing papers authored by Dan Lin
This map shows the geographic impact of Dan 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 Dan Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Lin more than expected).
Fields of papers citing papers by Dan Lin
This network shows the impact of papers produced by Dan 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 Dan Lin. The network helps show where Dan Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Lin, 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 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | iPrivacy: Image Privacy Protection by Identifying Sensitive Objects via Deep Multi-Task Learning Hit paper breakdown → | 2016 | 266 |
| 2 | 2016 | 175 | |
| 3 | 2018 | 172 | |
| 4 | 2012 | 110 | |
| 5 | 2012 | 109 | |
| 6 | 2007 | 101 | |
| 7 | 2008 | 63 | |
| 8 | 2009 | 61 | |
| 9 | 2018 | 56 | |
| 10 | 2006 | 55 | |
| 11 | 2005 | 53 | |
| 12 | 2011 | 52 | |
| 13 | 2014 | 52 | |
| 14 | 2009 | 50 | |
| 15 | 2007 | 48 | |
| 16 | 2012 | 44 | |
| 17 | 2010 | 40 | |
| 18 | 2010 | 39 | |
| 19 | 2010 | 35 | |
| 20 | 2016 | 35 |
About Dan Lin
Dan Lin is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Sociology and Political Science and Signal Processing, having authored 94 papers that have together received 2.4k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (31 papers), Data Management and Algorithms (18 papers), Cryptography and Data Security (15 papers), Privacy, Security, and Data Protection (14 papers), Access Control and Trust (12 papers), Cloud Data Security Solutions (11 papers), Vehicular Ad Hoc Networks (VANETs) (10 papers) and Advanced Database Systems and Queries (10 papers). The work is most often cited by research in Signal Processing (472 citations), Information Systems (780 citations), Computer Networks and Communications (766 citations), Artificial Intelligence (1.0k citations) and Transportation (213 citations). Dan Lin has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Anna Squicciarini, Smitha Sundareswaran, Elisa Bertino, Jun Yu, Baopeng Zhang, Christian S. Jensen, Beng Chin Ooi, Jorge Lobo, Prathima Rao and Jianping Fan. Their work appears in journals such as IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Information Forensics and Security, Computers & Security and Proceedings of the VLDB Endowment.
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.