Moran Ju
Impact in
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Media Technology top 5%
Papers in
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- Advanced Neural Network Applications 12
- Medical Image Segmentation Techniques 3
- Generative Adversarial Networks and Image Synthesis 3
- Advanced Image Processing Techniques 3
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- Infrared Target Detection Methodologies 7
- Advanced SAR Imaging Techniques 5
- Co-authors
- Haibo Luo (12 shared papers)Guangqi Liu (5 shared papers)Zhongbo Wang (3 shared papers)Bin Hui (4 shared papers)Zheng Chang (2 shared papers)Qing Hu (6 shared papers)Qinghai Ding (4 shared papers)Min Sha (1 shared paper)
In The Last Decade
Moran Ju
29 papers receiving 469 citations
Peers
Comparison fields: 5 of 88
- Computer Vision and Pattern Recognition 240
- Media Technology 75
- Aerospace Engineering 159
- Industrial and Manufacturing Engineering 38
- Space and Planetary Science 3
Countries citing papers authored by Moran Ju
This map shows the geographic impact of Moran Ju'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 Moran Ju with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moran Ju more than expected).
Fields of papers citing papers by Moran Ju
This network shows the impact of papers produced by Moran Ju. 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 Moran Ju. The network helps show where Moran Ju may publish in the future.
Co-authors
The 25 scholars most cited alongside Moran Ju, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 90 | |
| 2 | 2021 | 87 | |
| 3 | 2022 | 56 | |
| 4 | 2019 | 47 | |
| 5 | 2019 | 40 | |
| 6 | 2020 | 35 | |
| 7 | 2022 | 14 | |
| 8 | 2023 | 14 | |
| 9 | 2023 | 13 | |
| 10 | 2021 | 11 | |
| 11 | 2023 | 8 | |
| 12 | 2023 | 8 | |
| 13 | 2021 | 7 | |
| 14 | 2019 | 7 | |
| 15 | 2020 | 7 | |
| 16 | 2024 | 5 | |
| 17 | 2021 | 5 | |
| 18 | 2024 | 5 | |
| 19 | 2023 | 4 | |
| 20 | 2022 | 4 |
About Moran Ju
Moran Ju is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Electrical and Electronic Engineering, Artificial Intelligence and Oceanography, having authored 32 papers that have together received 486 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (12 papers), Infrared Target Detection Methodologies (7 papers), Advanced SAR Imaging Techniques (5 papers), Medical Image Segmentation Techniques (3 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Advanced Measurement and Detection Methods (3 papers), Advanced Image Processing Techniques (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (240 citations), Media Technology (75 citations), Aerospace Engineering (159 citations), Industrial and Manufacturing Engineering (38 citations) and Space and Planetary Science (3 citations). Moran Ju has collaborated with scholars based in China, Canada and Poland. Frequent co-authors include Haibo Luo, Guangqi Liu, Zhongbo Wang, Bin Hui, Zheng Chang, Qing Hu, Qinghai Ding, Min Sha, Xiang Li and Jingbo Zhang. Their work appears in journals such as Applied Sciences, Multimedia Tools and Applications, IEEE Sensors Journal, IEEE Transactions on Geoscience and Remote Sensing and IEEE Geoscience and Remote Sensing Letters.
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.