Liang Wu
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- Brain Tumor Detection and Classification 4
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- Medical Image Segmentation Techniques 6
- Advanced Neural Network Applications 6
- Image and Object Detection Techniques 2
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- Dam Engineering and Safety 4
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- Automated Road and Building Extraction 3
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- Radiomics and Machine Learning in Medical Imaging 3
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- Remote Sensing and LiDAR Applications 2
- Co-authors
- Shunbo HuA.A. El-KeibChangchun LiuJeongje ParkMohammad ShahidehpourR. BillintonJaeseok ChoiYunan Hu
- Journals
- SHILAP Revista de lepidopterología (2 papers)IEEE Access (1 paper)Sensors (1 paper)
- Partner nations
- ChinaUnited StatesNorway
In The Last Decade
Liang Wu
36 papers receiving 356 citations
Peers
Comparison fields: 5 of 82
- Neurology 56
- Safety, Risk, Reliability and Quality 56
- Energy Engineering and Power Technology 18
- Computer Vision and Pattern Recognition 114
- Media Technology 25
Countries citing papers authored by Liang Wu
This map shows the geographic impact of Liang Wu'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 Liang Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liang Wu more than expected).
Fields of papers citing papers by Liang Wu
This network shows the impact of papers produced by Liang Wu. 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 Liang Wu. The network helps show where Liang Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Liang Wu, 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 | 11 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 12 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 2 | |
| 9 | 2021 | 16 | |
| 10 | 2021 | 2 | |
| 11 | 2020 | 15 | |
| 12 | 2020 | 40 | |
| 13 | 2016 | 3 | |
| 14 | 2016 | 6 | |
| 15 | 2015 | 2 | |
| 16 | 2015 | 1 | |
| 17 | Gravity dam safety reliability analysis based on artificial neural network | 2011 | 1 |
| 18 | 2011 | 5 | |
| 19 | 2009 | 15 | |
| 20 | Preliminary Analysis of Elastic Modulus Stochastic Field's Effect on Concrete Dam Stress | 2002 | 2 |
About Liang Wu
Liang Wu is a scholar working on Computer Vision and Pattern Recognition, Neurology and Media Technology, having authored 36 papers that have together received 371 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (6 papers), Advanced Neural Network Applications (6 papers), Brain Tumor Detection and Classification (4 papers), Dam Engineering and Safety (4 papers), Automated Road and Building Extraction (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Remote Sensing and LiDAR Applications (2 papers) and Image and Object Detection Techniques (2 papers). The work is most often cited by research in Neurology (56 citations), Safety, Risk, Reliability and Quality (56 citations) and Energy Engineering and Power Technology (18 citations). Liang Wu has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Shunbo Hu, A.A. El-Keib, Changchun Liu, Jeongje Park, Mohammad Shahidehpour, R. Billinton, Jaeseok Choi, Yunan Hu, Ming Zhang and Dahua Yu. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.
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.