Dan Pei

9.8k citations
212 papers · 6.1k indexed · 3 hit papers · h-index 42

Dan Pei

193 papers receiving 5.9k citations

Hit Papers

Multivariate Time Series Anomaly Detection and Interpreta...2152019202620212023250500750

Peers

Dan Pei
Comparison fields: 5 of 115
  • Computer Networks and Communications 5.0k
  • Artificial Intelligence 3.4k
  • Signal Processing 1.0k
  • Software 343
  • Hardware and Architecture 369
Replace Angelos Stavrou with:
Angelos Stavrou United States
Suman Nath United States
Karl Levitt United States
Maarten van Steen Netherlands
Haojin Zhu China
Amiya Nayak Canada
Raheem Beyah United States
Cliff C. Zou United States
Aziz Mohaisen United States
Yi‐Min Wang United States
Dan Pei relative to Angelos Stavrou United States Angelos Stavrou's profile →
Citations per field
00.5×3.1×
Angelos Stavrou · 1×
Citations per year

Countries citing papers authored by Dan Pei

Since Specialization
Citations

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

Fields of papers citing papers by Dan Pei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Dan Pei, 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 Dan Pei Line = papers co-authored together Dan Pei links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20257
2 20251
3 20250
4 20240
5 20249
6 20242
7 20243
8 20241
9 20242
10 20244
11 20242
12 202312
13 20230
14 202333
15 202316
16 202226
17 202130
18 20196
19 201987
20 20176

About Dan Pei

Dan Pei is a scholar working on Computer Networks and Communications, Software and Artificial Intelligence, having authored 212 papers that have together received 6.1k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (79 papers), Software System Performance and Reliability (77 papers), Anomaly Detection Techniques and Applications (56 papers), Network Traffic and Congestion Control (36 papers), Software-Defined Networks and 5G (30 papers), Internet Traffic Analysis and Secure E-voting (26 papers), Cloud Computing and Resource Management (21 papers) and Time Series Analysis and Forecasting (20 papers). The work is most often cited by research in Computer Networks and Communications (5.0k citations), Artificial Intelligence (3.4k citations) and Signal Processing (1.0k citations). Dan Pei has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Youjian Zhao, Ya Su, Shenglin Zhang, Lixia Zhang, Rong Liu, Chenhao Niu, Wei Sun, Beichuan Zhang, Dan Massey and Weibin Meng. Their work appears in journals such as IEEE Transactions on Services Computing, IEEE/ACM Transactions on Networking, ACM SIGMETRICS Performance Evaluation Review, IEEE Transactions on Network and Service Management and Computer Networks.

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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