Bin Lin
Impact in
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- Ultrasound in Clinical Applications
- Infectious Diseases top 1%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
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- COVID-19 Clinical Research Studies 6
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- Long-Term Effects of COVID-19 5
- Co-authors
- Xueyan Mei (2 shared papers)Adam Bernheim (2 shared papers)Michael Chung (2 shared papers)Xiqi Zhu (1 shared paper)Ning Zhang (1 shared paper)Adam Jacobi (1 shared paper)Mingqian Huang (1 shared paper)Kaiyue Diao (1 shared paper)
- Journals
- Energy & Fuels (2 papers)Infection and Drug Resistance (1 paper)Oncology Reports (1 paper)RSC Advances (1 paper)Cell Biology International (1 paper)
- Partner nations
- ChinaUnited StatesSlovakia
In The Last Decade
Bin Lin
28 papers receiving 2.0k citations
Bin Lin's Hit Papers
Peers
Comparison fields: 5 of 126
- Critical Care and Intensive Care Medicine 309
- Infectious Diseases 1.0k
- Radiology, Nuclear Medicine and Imaging 1.2k
- Health Informatics 67
- Neurology 321
Countries citing papers authored by Bin Lin
This map shows the geographic impact of Bin Lin'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 Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Lin more than expected).
Fields of papers citing papers by Bin Lin
This network shows the impact of papers produced by Bin Lin. 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 Lin. The network helps show where Bin Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Lin, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Chest CT Findings in Coronavirus Disease-19 (COVID-19): Relationship to Duration of Infection Hit paper breakdown → | 2020 | 1745 |
| 2 | 2020 | 58 | |
| 3 | 2020 | 43 | |
| 4 | 2017 | 36 | |
| 5 | 2021 | 25 | |
| 6 | 2019 | 21 | |
| 7 | A novel CT-based radiomic nomogram for predicting the recurrence and metastasis of gastric stromal tumors. | 2021 | 18 |
| 8 | 2011 | 18 | |
| 9 | 2020 | 13 | |
| 10 | 2020 | 12 | |
| 11 | 2004 | 12 | |
| 12 | 2016 | 12 | |
| 13 | 2021 | 12 | |
| 14 | 2020 | 10 | |
| 15 | 2010 | 9 | |
| 16 | 2021 | 8 | |
| 17 | 2012 | 8 | |
| 18 | 2021 | 6 | |
| 19 | 2021 | 6 | |
| 20 | 2012 | 5 |
About Bin Lin
Bin Lin is a scholar working on Infectious Diseases, Neurology, Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental health and Cancer Research, having authored 29 papers that have together received 2.1k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (6 papers), Long-Term Effects of COVID-19 (5 papers), COVID-19 diagnosis using AI (3 papers), Petroleum Processing and Analysis (3 papers), Pharmacological Effects and Toxicity Studies (3 papers), Cancer-related molecular mechanisms research (3 papers), Hydrocarbon exploration and reservoir analysis (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (309 citations), Infectious Diseases (1.0k citations), Radiology, Nuclear Medicine and Imaging (1.2k citations), Health Informatics (67 citations) and Neurology (321 citations). Bin Lin has collaborated with scholars based in China, United States and Slovakia. Frequent co-authors include Xueyan Mei, Adam Bernheim, Michael Chung, Xiqi Zhu, Ning Zhang, Adam Jacobi, Mingqian Huang, Kaiyue Diao, Shaolin Li and Kunwei Li. Their work appears in journals such as Energy & Fuels, Infection and Drug Resistance, Oncology Reports, RSC Advances and Cell Biology International.
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.