Binbing Liu
Impact in
- Neurology top 10%
- Intracerebral and Subarachnoid Hemorrhage Research
- Neuroinflammation and Neurodegeneration Mechanisms
- Intracranial Aneurysms: Treatment and Complications
- Traumatic Brain Injury and Neurovascular Disturbances
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- Cancer-related molecular mechanisms research
Papers in
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- Image and Signal Denoising Methods 3
- Advanced Image Processing Techniques 2
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- S100 Proteins and Annexins 2
- Co-authors
- Huaizhang Shi (7 shared papers)Pei Wu (6 shared papers)Yang Tian (4 shared papers)Yuchen Li (3 shared papers)Jinju Wang (1 shared paper)Ji Bihl (1 shared paper)Yongzhi Zhang (2 shared papers)Yao Liu (1 shared paper)
- Journals
- Frontiers of Optoelectronics (4 papers)Biomedical Optics Express (2 papers)Cellular and Molecular Neurobiology (2 papers)Communications Biology (1 paper)Neurosurgical Review (1 paper)
- Partner nations
- ChinaUnited StatesRomania
In The Last Decade
Binbing Liu
17 papers receiving 407 citations
Peers
Comparison fields: 5 of 83
- Neurology 68
- Neurology 106
- Cancer Research 53
- Developmental Neuroscience 12
- Pulmonary and Respiratory Medicine 83
Countries citing papers authored by Binbing Liu
This map shows the geographic impact of Binbing 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 Binbing Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Binbing Liu more than expected).
Fields of papers citing papers by Binbing Liu
This network shows the impact of papers produced by Binbing 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 Binbing Liu. The network helps show where Binbing Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Binbing 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 | 113 | |
| 2 | 2022 | 93 | |
| 3 | 2018 | 59 | |
| 4 | 2018 | 28 | |
| 5 | 2022 | 27 | |
| 6 | 2014 | 26 | |
| 7 | 2020 | 23 | |
| 8 | 2022 | 20 | |
| 9 | 2019 | 6 | |
| 10 | 2013 | 6 | |
| 11 | 2015 | 2 | |
| 12 | 2023 | 2 | |
| 13 | 2014 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2019 | 1 | |
| 17 | 2016 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2022 | 0 | |
| 20 | 2013 | 0 |
About Binbing Liu
Binbing Liu is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Neurology, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering, having authored 20 papers that have together received 411 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), S100 Proteins and Annexins (2 papers), Medical Imaging Techniques and Applications (2 papers), Photoacoustic and Ultrasonic Imaging (2 papers), Advanced Memory and Neural Computing (2 papers), Advanced Image Processing Techniques (2 papers) and Electronic and Structural Properties of Oxides (2 papers). The work is most often cited by research in Neurology (68 citations), Neurology (106 citations), Cancer Research (53 citations), Developmental Neuroscience (12 citations) and Pulmonary and Respiratory Medicine (83 citations). Binbing Liu has collaborated with scholars based in China, United States and Romania. Frequent co-authors include Huaizhang Shi, Pei Wu, Yang Tian, Yuchen Li, Yuchen Li, Jinju Wang, Ji Bihl, Yongzhi Zhang, Yao Liu and Jiang Shao. Their work appears in journals such as Frontiers of Optoelectronics, Biomedical Optics Express, Cellular and Molecular Neurobiology, Communications Biology and Neurosurgical Review.
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.