Xiangjun Shi
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- Image and Signal Denoising Methods 2
- Media Technology top 2%
- Advanced Image Fusion Techniques 2
- Artificial Intelligence top 2%
- AI in cancer detection 5
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- Radiomics and Machine Learning in Medical Imaging 3
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- Multiple Myeloma Research and Treatments 9
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- Bone health and treatments 4
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- Moyamoya disease diagnosis and treatment 2
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- Software-Defined Networks and 5G 2
- Journals
- Pattern Recognition (3 papers)Digital Signal Processing (2 papers)IEEE Journal on Selected Areas in Communications (1 paper)
- Partner nations
- ChinaUnited StatesIreland
In The Last Decade
Xiangjun Shi
22 papers receiving 997 citations
Peers
Comparison fields: 5 of 103
- Computer Vision and Pattern Recognition 666
- Media Technology 251
- Artificial Intelligence 509
- Radiology, Nuclear Medicine and Imaging 267
- Neurology 42
Countries citing papers authored by Xiangjun Shi
This map shows the geographic impact of Xiangjun Shi'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 Xiangjun Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiangjun Shi more than expected).
Fields of papers citing papers by Xiangjun Shi
This network shows the impact of papers produced by Xiangjun Shi. 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 Xiangjun Shi. The network helps show where Xiangjun Shi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiangjun Shi, 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 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 7 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 3 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 4 | |
| 10 | 2022 | 0 | |
| 11 | 2022 | 1 | |
| 12 | 2022 | 1 | |
| 13 | 2021 | 2 | |
| 14 | 2014 | 1 | |
| 15 | 2009 | 8 | |
| 16 | Mass detection and classification in breast ultrasound images | 2006 | 2 |
| 17 | 2005 | 387 | |
| 18 | 2003 | 52 | |
| 19 | 2003 | 109 | |
| 20 | 2003 | 306 |
About Xiangjun Shi
Xiangjun Shi is a scholar working on Hematology, Computer Vision and Pattern Recognition and Oncology, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (9 papers), AI in cancer detection (5 papers), Bone health and treatments (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Moyamoya disease diagnosis and treatment (2 papers), Advanced Image Fusion Techniques (2 papers), Image and Signal Denoising Methods (2 papers) and Software-Defined Networks and 5G (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (666 citations), Media Technology (251 citations) and Artificial Intelligence (509 citations). Xiangjun Shi has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Heng-Da Cheng, Liming Hu, Rui Min, Heheng Du, Chris Glazier, He Cheng, Xue Mei, Wen Ju, Jiawei Tian and Liming Hu. Their work appears in journals such as Pattern Recognition, Digital Signal Processing, IEEE Journal on Selected Areas in Communications, Frontiers in Immunology and Journal of Neuroinflammation.
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.