Weibo Liu
Impact in
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- Advanced Neural Network Applications
- Face and Expression Recognition
- Artificial Intelligence top 0.5%
- Metaheuristic Optimization Algorithms Research
- Anomaly Detection Techniques and Applications
- Neural Networks and Applications
Papers in
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- Industrial Vision Systems and Defect Detection 9
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- Metaheuristic Optimization Algorithms Research 9
- Anomaly Detection Techniques and Applications 7
Weibo Liu
88 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 196
- Computer Vision and Pattern Recognition 1.6k
- Artificial Intelligence 2.0k
- Control and Systems Engineering 928
- Industrial and Manufacturing Engineering 380
- Media Technology 248
Countries citing papers authored by Weibo Liu
This map shows the geographic impact of Weibo 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 Weibo Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weibo Liu more than expected).
Fields of papers citing papers by Weibo Liu
This network shows the impact of papers produced by Weibo 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 Weibo Liu. The network helps show where Weibo Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Weibo 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 17 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 12 | |
| 9 | 2023 | 40 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 32 | |
| 12 | 2023 | 9 | |
| 13 | 2023 | 95 | |
| 14 | 2023 | 67 | |
| 15 | 2023 | 22 | |
| 16 | 2023 | 5 | |
| 17 | 2022 | 1 | |
| 18 | 2021 | 34 | |
| 19 | 2021 | 5 | |
| 20 | 2020 | 34 |
About Weibo Liu
Weibo Liu is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence, Control and Systems Engineering, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 95 papers that have together received 5.9k indexed citations. Recurring topics across this work include Plasma Applications and Diagnostics (11 papers), Metaheuristic Optimization Algorithms Research (9 papers), Industrial Vision Systems and Defect Detection (9 papers), Electrohydrodynamics and Fluid Dynamics (8 papers), Machine Fault Diagnosis Techniques (8 papers), Plasma Diagnostics and Applications (8 papers), Fault Detection and Control Systems (7 papers) and Anomaly Detection Techniques and Applications (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Artificial Intelligence (2.0k citations), Control and Systems Engineering (928 citations), Industrial and Manufacturing Engineering (380 citations) and Media Technology (248 citations). Weibo Liu has collaborated with scholars based in China, United Kingdom and Saudi Arabia. Frequent co-authors include Nianyin Zeng, Zidong Wang, Xiaohui Liu, Fuad E. Alsaadi, Yurong Liu, Yurong Li, Yuan Yuan, Baoye Song, Han Li and Kate Hone. Their work appears in journals such as Neurocomputing, Knowledge-Based Systems, Physics of Plasmas, Cognitive Computation and International Journal of Machine Learning and Cybernetics.
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.