Lin Gu
Impact in
- Health Informatics top 2%
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- Advanced Neural Network Applications
- Image Enhancement Techniques
- Video Surveillance and Tracking Methods
- Image and Signal Denoising Methods
- Advanced Image Processing Techniques
Papers in
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- Image Enhancement Techniques 9
- Multimodal Machine Learning Applications 8
- Advanced Image and Video Retrieval Techniques 7
- Advanced Neural Network Applications 6
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- Domain Adaptation and Few-Shot Learning 8
- Co-authors
- Barrett J. Rollins (2 shared papers)Susan Tseng (1 shared paper)Tatsuya Harada (18 shared papers)Jun Zhou (9 shared papers)Xiao Bai (8 shared papers)Yitian Zhao (1 shared paper)James Bailey (1 shared paper)Feng Lu (1 shared paper)
In The Last Decade
Lin Gu
81 papers receiving 2.5k citations
Lin Gu's Hit Papers
Peers
Comparison fields: 5 of 162
- Health Informatics 61
- Computer Vision and Pattern Recognition 960
- Media Technology 376
- Artificial Intelligence 522
- Radiology, Nuclear Medicine and Imaging 256
Countries citing papers authored by Lin Gu
This map shows the geographic impact of Lin Gu'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 Lin Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Gu more than expected).
Fields of papers citing papers by Lin Gu
This network shows the impact of papers produced by Lin Gu. 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 Lin Gu. The network helps show where Lin Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin Gu, 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Understanding adversarial attacks on deep learning based medical image analysis systems Hit paper breakdown → | 2020 | 312 |
| 2 | 1999 | 274 | |
| 3 | 2021 | 186 | |
| 4 | 1997 | 125 | |
| 5 | 1995 | 113 | |
| 6 | 2021 | 102 | |
| 7 | 2021 | 99 | |
| 8 | Frequency-Aware Feature Fusion for Dense Image Prediction Hit paper breakdown → | 2024 | 93 |
| 9 | 2017 | 93 | |
| 10 | 1994 | 82 | |
| 11 | 2011 | 77 | |
| 12 | 2019 | 75 | |
| 13 | 2018 | 75 | |
| 14 | 2020 | 62 | |
| 15 | Achieving Real-Time Target Tracking Using Wireless Sensor Networks | 2007 | 62 |
| 16 | 2022 | 58 | |
| 17 | 2021 | 55 | |
| 18 | 2022 | 44 | |
| 19 | 2020 | 41 | |
| 20 | 2023 | 36 |
About Lin Gu
Lin Gu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Radiology, Nuclear Medicine and Imaging and Aerospace Engineering, having authored 85 papers that have together received 2.6k indexed citations. Recurring topics across this work include Image Enhancement Techniques (9 papers), Domain Adaptation and Few-Shot Learning (8 papers), Advanced Image Fusion Techniques (8 papers), Multimodal Machine Learning Applications (8 papers), Advanced Image and Video Retrieval Techniques (7 papers), Color Science and Applications (7 papers), Remote-Sensing Image Classification (7 papers) and Advanced Neural Network Applications (6 papers). The work is most often cited by research in Health Informatics (61 citations), Computer Vision and Pattern Recognition (960 citations), Media Technology (376 citations), Artificial Intelligence (522 citations) and Radiology, Nuclear Medicine and Imaging (256 citations). Lin Gu has collaborated with scholars based in Japan, China and Australia. Frequent co-authors include Barrett J. Rollins, Susan Tseng, Tatsuya Harada, Jun Zhou, Xiao Bai, Yitian Zhao, James Bailey, Feng Lu, Xingjun Ma and Yisen Wang. Their work appears in journals such as Medical Image Analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems, Pattern Recognition and BMC Psychiatry.
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.