Bin Xia
Impact in
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- Artificial Intelligence in Healthcare
- Oral Surgery top 10%
- Dental Radiography and Imaging
Papers in
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- Advanced Steganography and Watermarking Techniques 4
- Digital Media Forensic Detection 3
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- Imbalanced Data Classification Techniques 3
- Machine Learning and Data Classification 2
- Co-authors
- Juan Wang (6 shared papers)Yujing Bai (2 shared papers)Xingming Sun (4 shared papers)Lingyun Xiang (3 shared papers)Yongyi Yang (1 shared paper)Yuchen Xie (1 shared paper)Chuanbin Guo (1 shared paper)Lin Liu (1 shared paper)
- Journals
- IEEE Access (2 papers)Multimedia Tools and Applications (2 papers)European Journal of Medicinal Chemistry (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)Experimental Dermatology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Bin Xia
19 papers receiving 338 citations
Peers
Comparison fields: 5 of 98
- Health Information Management 48
- Oral Surgery 45
- Computer Vision and Pattern Recognition 111
- Radiology, Nuclear Medicine and Imaging 113
- Ophthalmology 44
Countries citing papers authored by Bin Xia
This map shows the geographic impact of Bin Xia'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 Bin Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Xia more than expected).
Fields of papers citing papers by Bin Xia
This network shows the impact of papers produced by Bin Xia. 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 Bin Xia. The network helps show where Bin Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Xia, 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 | 66 | |
| 2 | 2012 | 62 | |
| 3 | 2018 | 53 | |
| 4 | 2017 | 44 | |
| 5 | 2019 | 31 | |
| 6 | 2019 | 22 | |
| 7 | 2015 | 18 | |
| 8 | 2018 | 12 | |
| 9 | 2021 | 7 | |
| 10 | 2023 | 7 | |
| 11 | 2019 | 6 | |
| 12 | 2023 | 5 | |
| 13 | 2011 | 5 | |
| 14 | 2023 | 4 | |
| 15 | 2009 | 4 | |
| 16 | 2011 | 3 | |
| 17 | 2022 | 3 | |
| 18 | Topic Modeling for Noisy Short Texts with Multiple Relations. | 2018 | 2 |
| 19 | 2023 | 1 |
About Bin Xia
Bin Xia is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Ophthalmology and Radiology, Nuclear Medicine and Imaging, having authored 19 papers that have together received 355 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (4 papers), Imbalanced Data Classification Techniques (3 papers), Retinal Imaging and Analysis (3 papers), Retinal Diseases and Treatments (3 papers), Digital Media Forensic Detection (3 papers), Reliability and Agreement in Measurement (2 papers), Machine Learning and Data Classification (2 papers) and Trauma and Emergency Care Studies (1 paper). The work is most often cited by research in Health Information Management (48 citations), Oral Surgery (45 citations), Computer Vision and Pattern Recognition (111 citations), Radiology, Nuclear Medicine and Imaging (113 citations) and Ophthalmology (44 citations). Bin Xia has collaborated with scholars based in China and United States. Frequent co-authors include Juan Wang, Yujing Bai, Xingming Sun, Lingyun Xiang, Yongyi Yang, Yuchen Xie, Chuanbin Guo, Lin Liu, Jie Yang and Junjie Lan. Their work appears in journals such as IEEE Access, Multimedia Tools and Applications, European Journal of Medicinal Chemistry, IEEE Journal of Biomedical and Health Informatics and Experimental Dermatology.
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.