Huiling Lu
Impact in
- Media Technology top 5%
- Advanced Image Fusion Techniques
- Remote-Sensing Image Classification
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- Image and Signal Denoising Methods
- Image Enhancement Techniques
- Generative Adversarial Networks and Image Synthesis
- Medical Image Segmentation Techniques
Papers in
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- Image and Signal Denoising Methods 4
- Medical Image Segmentation Techniques 1
- Image Retrieval and Classification Techniques 1
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- Advanced Image Fusion Techniques 5
- Remote-Sensing Image Classification 1
- Co-authors
- Xiangxiang Zhang (2 shared papers)Qianru Cheng (2 shared papers)Qi Li (2 shared papers)Tao Zhou (1 shared paper)Tao Zhou (7 shared papers)Shi Qiu (1 shared paper)Qi Li (1 shared paper)Xiangxiang Zhang (1 shared paper)
- Journals
- Computers in Biology and Medicine (2 papers)Artificial Intelligence Review (1 paper)Information Fusion (1 paper)Biomedical Signal Processing and Control (1 paper)Computer Methods and Programs in Biomedicine (1 paper)
- Partner nations
- ChinaUnited Kingdom
In The Last Decade
Huiling Lu
7 papers receiving 267 citations
Huiling Lu's Hit Papers
Peers
Comparison fields: 5 of 69
- Media Technology 105
- Computer Vision and Pattern Recognition 125
- Neurology 19
- Radiology, Nuclear Medicine and Imaging 49
- Health Informatics 3
Countries citing papers authored by Huiling Lu
This map shows the geographic impact of Huiling Lu'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 Huiling Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huiling Lu more than expected).
Fields of papers citing papers by Huiling Lu
This network shows the impact of papers produced by Huiling Lu. 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 Huiling Lu. The network helps show where Huiling Lu may publish in the future.
Co-authors
The 20 scholars most cited alongside Huiling Lu, 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 | GAN review: Models and medical image fusion applications Hit paper breakdown → | 2022 | 157 |
| 2 | 2023 | 98 | |
| 3 | 2023 | 8 | |
| 4 | 2024 | 3 | |
| 5 | 2025 | 3 | |
| 6 | 2023 | 2 | |
| 7 | 2025 | 1 | |
| 8 | 2025 | 0 |
About Huiling Lu
Huiling Lu is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Radiology, Nuclear Medicine and Imaging, Surgery and Otorhinolaryngology, having authored 8 papers that have together received 272 indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (5 papers), Image and Signal Denoising Methods (4 papers), Infrared Thermography in Medicine (2 papers), Dental Radiography and Imaging (1 paper), Head and Neck Cancer Studies (1 paper), Medical Image Segmentation Techniques (1 paper), Image Retrieval and Classification Techniques (1 paper) and Remote-Sensing Image Classification (1 paper). The work is most often cited by research in Media Technology (105 citations), Computer Vision and Pattern Recognition (125 citations), Neurology (19 citations), Radiology, Nuclear Medicine and Imaging (49 citations) and Health Informatics (3 citations). Huiling Lu has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Xiangxiang Zhang, Qianru Cheng, Qi Li, Tao Zhou, Tao Zhou, Shi Qiu, Qi Li, Xiangxiang Zhang, Mingzhe Zhang and Huiyu Zhou. Their work appears in journals such as Computers in Biology and Medicine, Artificial Intelligence Review, Information Fusion, Biomedical Signal Processing and Control and Computer Methods and Programs in Biomedicine.
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.