Yajun Liu
Impact in
- Health Informatics top 10%
-
- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
-
- Silicon Nanostructures and Photoluminescence 3
- Luminescence Properties of Advanced Materials 2
- Nuclear Materials and Properties 2
- Co-authors
- Lijun Zhang (4 shared papers)Di Yu (3 shared papers)Jiaqing Mo (4 shared papers)Gang Zhou (1 shared paper)Liang Xu (1 shared paper)Dingding Wang (1 shared paper)Yang Ge (1 shared paper)Zhenhong Jia (3 shared papers)
- Journals
- IEEE Sensors Journal (2 papers)Optics Express (2 papers)Inorganica Chimica Acta (1 paper)Journal of Alloys and Compounds (1 paper)physica status solidi (a) (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Yajun Liu
17 papers receiving 314 citations
Peers
Comparison fields: 5 of 61
- Health Informatics 18
- Radiology, Nuclear Medicine and Imaging 77
- Electronic, Optical and Magnetic Materials 59
- Mechanical Engineering 117
- Materials Chemistry 126
Countries citing papers authored by Yajun Liu
This map shows the geographic impact of Yajun Liu'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 Yajun Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yajun Liu more than expected).
Fields of papers citing papers by Yajun Liu
This network shows the impact of papers produced by Yajun Liu. 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 Yajun Liu. The network helps show where Yajun Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yajun Liu, 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 | 2020 | 87 | |
| 2 | 2008 | 52 | |
| 3 | 2009 | 46 | |
| 4 | 2015 | 29 | |
| 5 | 2018 | 26 | |
| 6 | 2009 | 17 | |
| 7 | 2019 | 15 | |
| 8 | 2014 | 9 | |
| 9 | 2012 | 9 | |
| 10 | 2022 | 8 | |
| 11 | 2022 | 7 | |
| 12 | 2022 | 7 | |
| 13 | 2014 | 4 | |
| 14 | Fragmentation modes of alkylcyclohexylbenzene derivatives and alkylcyclohexylbiphenyl liquid crystalline derivatives | 2016 | 2 |
| 15 | 2020 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2017 | 1 |
About Yajun Liu
Yajun Liu is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials, Mechanical Engineering, Electrical and Electronic Engineering and Biomedical Engineering, having authored 17 papers that have together received 322 indexed citations. Recurring topics across this work include Silicon Nanostructures and Photoluminescence (3 papers), Intermetallics and Advanced Alloy Properties (3 papers), Radiation Detection and Scintillator Technologies (2 papers), Photonic and Optical Devices (2 papers), Luminescence Properties of Advanced Materials (2 papers), Advanced Antenna and Metasurface Technologies (2 papers), Nuclear Materials and Properties (2 papers) and Nanowire Synthesis and Applications (2 papers). The work is most often cited by research in Health Informatics (18 citations), Radiology, Nuclear Medicine and Imaging (77 citations), Electronic, Optical and Magnetic Materials (59 citations), Mechanical Engineering (117 citations) and Materials Chemistry (126 citations). Yajun Liu has collaborated with scholars based in China, United States and France. Frequent co-authors include Lijun Zhang, Di Yu, Jiaqing Mo, Gang Zhou, Liang Xu, Dingding Wang, Yang Ge, Zhenhong Jia, Tongyan Pan and Jiajia Wang. Their work appears in journals such as IEEE Sensors Journal, Optics Express, Inorganica Chimica Acta, Journal of Alloys and Compounds and physica status solidi (a).
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.