Liangjun Chen
Impact in
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- Advanced Neural Network Applications
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- Neonatal and fetal brain pathology
- Fetal and Pediatric Neurological Disorders
Papers in
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- Neonatal and fetal brain pathology 8
- Fetal and Pediatric Neurological Disorders 7
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- Functional Brain Connectivity Studies 6
- Co-authors
- Jihong Zhao (4 shared papers)Hua Qu (4 shared papers)Li Wang (11 shared papers)Zhengwang Wu (11 shared papers)Gang Li (12 shared papers)Weili Lin (9 shared papers)Badong Chen (3 shared papers)José C. Prı́ncipe (1 shared paper)
- Journals
- NeuroImage (4 papers)Nature Communications (1 paper)Cell Reports (1 paper)Nature Protocols (1 paper)Neural Computing and Applications (1 paper)
- Partner nations
- ChinaUnited StatesNorway
In The Last Decade
Liangjun Chen
20 papers receiving 297 citations
Peers
Comparison fields: 5 of 66
- Computer Vision and Pattern Recognition 70
- Pediatrics, Perinatology and Child Health 54
- Artificial Intelligence 99
- Signal Processing 30
- Radiology, Nuclear Medicine and Imaging 49
Countries citing papers authored by Liangjun Chen
This map shows the geographic impact of Liangjun Chen'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 Liangjun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liangjun Chen more than expected).
Fields of papers citing papers by Liangjun Chen
This network shows the impact of papers produced by Liangjun Chen. 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 Liangjun Chen. The network helps show where Liangjun Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Liangjun Chen, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 74 | |
| 2 | 2023 | 62 | |
| 3 | 2018 | 41 | |
| 4 | 2022 | 29 | |
| 5 | 2017 | 27 | |
| 6 | 2021 | 12 | |
| 7 | 2024 | 10 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 6 | |
| 10 | 2021 | 5 | |
| 11 | 2016 | 5 | |
| 12 | 2023 | 4 | |
| 13 | 2021 | 4 | |
| 14 | 2023 | 3 | |
| 15 | 2021 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2021 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2010 | 1 | |
| 20 | 2021 | 1 |
About Liangjun Chen
Liangjun Chen is a scholar working on Pediatrics, Perinatology and Child Health, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 21 papers that have together received 298 indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (8 papers), Fetal and Pediatric Neurological Disorders (7 papers), Functional Brain Connectivity Studies (6 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Domain Adaptation and Few-Shot Learning (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Advanced Image Processing Techniques (2 papers) and Image and Signal Denoising Methods (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (70 citations), Pediatrics, Perinatology and Child Health (54 citations), Artificial Intelligence (99 citations), Signal Processing (30 citations) and Radiology, Nuclear Medicine and Imaging (49 citations). Liangjun Chen has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Jihong Zhao, Hua Qu, Li Wang, Zhengwang Wu, Gang Li, Weili Lin, Badong Chen, José C. Prı́ncipe, Yue Sun and Paul Honeiné. Their work appears in journals such as NeuroImage, Nature Communications, Cell Reports, Nature Protocols and Neural Computing and Applications.
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.