Keren Tan

625 citations
15 papers · 408 · h-index 7

Impact in

Papers in

Keren Tan

14 papers receiving 364 citations

Peers

Keren Tan
Comparison fields: 5 of 53
  • Computer Vision and Pattern Recognition 153
  • Computer Networks and Communications 168
  • Signal Processing 60
  • Media Technology 40
  • Artificial Intelligence 128
Replace Kailin Tan with:
Kailin Tan China
Peiwen Jiang China
Mikołaj Jankowski United Kingdom
Victor B. Lawrence United States
Roberto Viola Spain
Mohsen A. M. El‐Bendary Egypt
Sanjeev Mehrotra United States
Shuo Shao China
Yixiang Wang China
Keren Tan relative to Kailin Tan China Kailin Tan's profile →
Citations per field
00.5×2.7×
Kailin Tan · 1×
Citations per year

Countries citing papers authored by Keren Tan

Since Specialization
Citations

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

Fields of papers citing papers by Keren Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Keren Tan, 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 Keren Tan Line = papers co-authored together Keren Tan links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2008187
2 2005103
3 200448
4 200822
5 200516
6 20118
7 20128
8
Dartmouth internet security testbed (DIST: building a campus-wide wireless testbed
20093
9 20243
10 20043
11 20122
12
Saluki: A high-performance Wi-Fi sniffing program
20102
13 20251
14 20101
15 20111

About Keren Tan

Keren Tan is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Sociology and Political Science and Electrical and Electronic Engineering, having authored 15 papers that have together received 408 indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (6 papers), Wireless Networks and Protocols (5 papers), Privacy-Preserving Technologies in Data (4 papers), Face and Expression Recognition (3 papers), Privacy, Security, and Data Protection (3 papers), Image Retrieval and Classification Techniques (2 papers), Network Security and Intrusion Detection (2 papers) and Mobile Ad Hoc Networks (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (153 citations), Computer Networks and Communications (168 citations), Signal Processing (60 citations), Media Technology (40 citations) and Artificial Intelligence (128 citations). Keren Tan has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Songcan Chen, David Kotz, Andrew T. Campbell, Daoqiang Zhang, Zhisong Pan, Bennet Vance, Chris McDonald, Jihwang Yeo, Sheng Yong and Guanhua Yan. Their work appears in journals such as IEEE Transactions on Mobile Computing, IEEE Wireless Communications, IEEE Access, Neural Processing Letters and Neurocomputing.

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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