Weike Liu
Impact in
- Artificial Intelligence top 5%
- Data Stream Mining Techniques
- Anomaly Detection Techniques and Applications
- Imbalanced Data Classification Techniques
- Machine Learning and Data Classification
- Metaheuristic Optimization Algorithms Research
- Signal Processing top 10%
- Time Series Analysis and Forecasting
Papers in
-
- Data Stream Mining Techniques 8
- Machine Learning and Data Classification 5
- Internet Traffic Analysis and Secure E-voting 3
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- Cardiovascular Function and Risk Factors 4
- Co-authors
- Hang Zhang (10 shared papers)Qingbao Liu (9 shared papers)Zhaoyun Ding (4 shared papers)Cheng Zhu (2 shared papers)Zhendong Liu (11 shared papers)Xiaofeng Yang (3 shared papers)Cheng Zhu (1 shared paper)Yuechun Li (5 shared papers)
- Journals
- IEEE Access (2 papers)Knowledge-Based Systems (2 papers)Cardiovascular Diabetology (2 papers)Neurocomputing (1 paper)Diabetes & Metabolism (1 paper)
- Partner nations
- ChinaUnited Kingdom
In The Last Decade
Weike Liu
30 papers receiving 429 citations
Peers
Comparison fields: 5 of 91
- Artificial Intelligence 275
- Signal Processing 47
- Computer Networks and Communications 66
- Management Science and Operations Research 26
- Cardiology and Cardiovascular Medicine 31
Countries citing papers authored by Weike Liu
This map shows the geographic impact of Weike Liu'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 Weike Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weike Liu more than expected).
Fields of papers citing papers by Weike Liu
This network shows the impact of papers produced by Weike Liu. 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 Weike Liu. The network helps show where Weike Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Weike Liu, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 81 | |
| 2 | 2021 | 78 | |
| 3 | 2022 | 35 | |
| 4 | 2021 | 35 | |
| 5 | 2019 | 30 | |
| 6 | 2020 | 24 | |
| 7 | 2018 | 24 | |
| 8 | 2022 | 23 | |
| 9 | 2022 | 17 | |
| 10 | 2022 | 11 | |
| 11 | 2020 | 9 | |
| 12 | 2022 | 9 | |
| 13 | 2024 | 7 | |
| 14 | 2024 | 7 | |
| 15 | 2023 | 6 | |
| 16 | 2023 | 6 | |
| 17 | 2019 | 6 | |
| 18 | Research of Strategy for Intelligent Test Paper Construction System | 2010 | 3 |
| 19 | 2025 | 3 | |
| 20 | 2022 | 3 |
About Weike Liu
Weike Liu is a scholar working on Artificial Intelligence, Cardiology and Cardiovascular Medicine, Computer Networks and Communications, Physiology and Electrical and Electronic Engineering, having authored 31 papers that have together received 434 indexed citations. Recurring topics across this work include Data Stream Mining Techniques (8 papers), Machine Learning and Data Classification (5 papers), Cardiovascular Function and Risk Factors (4 papers), Nutrition and Health in Aging (4 papers), Network Security and Intrusion Detection (3 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Inertial Sensor and Navigation (2 papers) and Sensor Technology and Measurement Systems (2 papers). The work is most often cited by research in Artificial Intelligence (275 citations), Signal Processing (47 citations), Computer Networks and Communications (66 citations), Management Science and Operations Research (26 citations) and Cardiology and Cardiovascular Medicine (31 citations). Weike Liu has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Hang Zhang, Qingbao Liu, Zhaoyun Ding, Cheng Zhu, Zhendong Liu, Xiaofeng Yang, Cheng Zhu, Yuechun Li, Shuo Wang and Xiaoping Li. Their work appears in journals such as IEEE Access, Knowledge-Based Systems, Cardiovascular Diabetology, Neurocomputing and Diabetes & Metabolism.
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.