Pei Ke

1.5k citations
48 papers · 673 · h-index 12

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Anomaly Detection Techniques and Applications
    • Sentiment Analysis and Opinion Mining
    • Advanced Text Analysis Techniques
    • Advanced Graph Neural Networks
    • Network Security and Intrusion Detection

Papers in

Pei Ke

42 papers receiving 651 citations

Peers

Pei Ke
Comparison fields: 5 of 74
  • Artificial Intelligence 502
  • Computer Networks and Communications 142
  • Computer Vision and Pattern Recognition 108
  • Health Informatics 6
  • Signal Processing 48
Replace Nikita Kitaev with:
Nikita Kitaev United States
Bong Jun Ko United States
Zuobin Xiong United States
Qiben Yan United States
Bashir Hayat Pakistan
Magda B. Fayek Egypt
Joy Iong‐Zong Chen Taiwan
David J. Russomanno United States
Xiaolei Liu China
Manuel Eugenio Morocho-Cayamcela Ecuador
Pei Ke relative to Nikita Kitaev United States Nikita Kitaev's profile →
Citations per field
00.5×7.1×
Nikita Kitaev · 1×
Citations per year

Countries citing papers authored by Pei Ke

Since Specialization
Citations

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

Fields of papers citing papers by Pei Ke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202088
2 201783
3 202071
4 202061
5 202153
6 202144
7 201841
8 201840
9
SentiLR: Linguistic Knowledge Enhanced Language Representation for Sentiment Analysis.
201917
10 202216
11 202314
12 202113
13 202111
14 202310
15 202410
16 201910
17 202110
18 20249
19 20208
20 20227

About Pei Ke

Pei Ke is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Civil and Structural Engineering and Signal Processing, having authored 48 papers that have together received 673 indexed citations. Recurring topics across this work include Topic Modeling (22 papers), Natural Language Processing Techniques (18 papers), Multimodal Machine Learning Applications (7 papers), Anomaly Detection Techniques and Applications (6 papers), Network Security and Intrusion Detection (6 papers), Adversarial Robustness in Machine Learning (5 papers), Speech Recognition and Synthesis (3 papers) and Asphalt Pavement Performance Evaluation (3 papers). The work is most often cited by research in Artificial Intelligence (502 citations), Computer Networks and Communications (142 citations), Computer Vision and Pattern Recognition (108 citations), Health Informatics (6 citations) and Signal Processing (48 citations). Pei Ke has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Minlie Huang, Xiaoyan Zhu, Haozhe Ji, Geyong Min, Yulei Wu, Siyang Liu, Yiming Ying, Jian Guan, Shaohan Huang and Furu Wei. Their work appears in journals such as Construction and Building Materials, Journal of Orthopaedic Surgery and Research, Science China Information Sciences, Surfaces and Interfaces and Chemosphere.

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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