Pei Ke
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Anomaly Detection Techniques and Applications
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Advanced Graph Neural Networks
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- Network Security and Intrusion Detection
Papers in
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- Topic Modeling 21
- Natural Language Processing Techniques 18
- Anomaly Detection Techniques and Applications 6
- Adversarial Robustness in Machine Learning 5
- Speech Recognition and Synthesis 3
- Sentiment Analysis and Opinion Mining 2
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- Multimodal Machine Learning Applications 6
- Co-authors
- Minlie Huang (22 shared papers)Xiaoyan Zhu (10 shared papers)Haozhe Ji (6 shared papers)Geyong Min (3 shared papers)Yulei Wu (3 shared papers)Siyang Liu (3 shared papers)Yiming Ying (1 shared paper)Jian Guan (3 shared papers)
- Journals
- Transactions of the Association for Computational Linguistics (1 paper)Knowledge-Based Systems (1 paper)Chemosphere (1 paper)IEEE Internet of Things Journal (1 paper)IEEE Transactions on Big Data (1 paper)
- Partner nations
- ChinaGermanyUnited Kingdom
In The Last Decade
Pei Ke
42 papers receiving 619 citations
Peers
Comparison fields: 5 of 75
- Artificial Intelligence 491
- Computer Networks and Communications 142
- Computer Vision and Pattern Recognition 102
- Health Informatics 6
- Signal Processing 47
Countries citing papers authored by Pei Ke
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
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.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 85 | |
| 2 | 2017 | 80 | |
| 3 | 2020 | 70 | |
| 4 | 2020 | 60 | |
| 5 | 2021 | 50 | |
| 6 | 2021 | 43 | |
| 7 | 2018 | 40 | |
| 8 | 2018 | 40 | |
| 9 | SentiLR: Linguistic Knowledge Enhanced Language Representation for Sentiment Analysis. | 2019 | 17 |
| 10 | 2022 | 16 | |
| 11 | 2021 | 12 | |
| 12 | 2023 | 11 | |
| 13 | 2021 | 10 | |
| 14 | 2019 | 10 | |
| 15 | 2023 | 9 | |
| 16 | 2021 | 9 | |
| 17 | 2024 | 8 | |
| 18 | 2020 | 7 | |
| 19 | 2024 | 7 | |
| 20 | 2022 | 6 |
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 46 papers that have together received 642 indexed citations. Recurring topics across this work include Topic Modeling (21 papers), Natural Language Processing Techniques (18 papers), Multimodal Machine Learning Applications (6 papers), Network Security and Intrusion Detection (6 papers), Anomaly Detection Techniques and Applications (6 papers), Adversarial Robustness in Machine Learning (5 papers), Speech Recognition and Synthesis (3 papers) and Sentiment Analysis and Opinion Mining (2 papers). The work is most often cited by research in Artificial Intelligence (491 citations), Computer Networks and Communications (142 citations), Computer Vision and Pattern Recognition (102 citations), Health Informatics (6 citations) and Signal Processing (47 citations). Pei Ke has collaborated with scholars based in China, Germany and United Kingdom. Frequent co-authors include Minlie Huang, Xiaoyan Zhu, Haozhe Ji, Geyong Min, Yulei Wu, Siyang Liu, Yiming Ying, Jian Guan, Furu Wei and Shaohan Huang. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Knowledge-Based Systems, Chemosphere, IEEE Internet of Things Journal and IEEE Transactions on Big Data.
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.