Bin Lin
- Infectious Diseases top 1%
- COVID-19 Clinical Research Studies 6
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- COVID-19 diagnosis using AI 3
- Health Informatics top 2%
- Neurology top 5%
- Long-Term Effects of COVID-19 5
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- Cancer-related molecular mechanisms research 3
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- Petroleum Processing and Analysis 3
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- Pharmacological Effects and Toxicity Studies 3
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- Surface Modification and Superhydrophobicity 2
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- Aerogels and thermal insulation 2
- Cited by
- Critical Care and Intensive Care MedicineInfectious DiseasesRadiology, Nuclear Medicine and Imaging
- Partner nations
- ChinaUnited StatesSlovakia
In The Last Decade
Bin Lin
28 papers receiving 2.0k citations
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2023 | 0 | |
| 3 | 2021 | 6 | |
| 4 | 2021 | 8 | |
| 5 | 2021 | 6 | |
| 6 | 2021 | 12 | |
| 7 | A novel CT-based radiomic nomogram for predicting the recurrence and metastasis of gastric stromal tumors. | 2021 | 18 |
| 8 | 2021 | 3 | |
| 9 | 2020 | 12 | |
| 10 | 2020 | 10 | |
| 11 | 2020 | 4 | |
| 12 | Chest CT Findings in Coronavirus Disease-19 (COVID-19): Relationship to Duration of Infectionbreakdown → | 2020 | 1745 |
| 13 | 2020 | 13 | |
| 14 | 2020 | 1 | |
| 15 | 2017 | 36 | |
| 16 | 2016 | 12 | |
| 17 | 2012 | 8 | |
| 18 | 2012 | 5 | |
| 19 | 2011 | 18 | |
| 20 | 2004 | 12 |
About Bin Lin
Bin Lin is a scholar working on Applied Microbiology and Biotechnology, Transplantation, Neurology, Infectious Diseases and Analytical Chemistry, 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), Cancer-related molecular mechanisms research (3 papers), COVID-19 diagnosis using AI (3 papers), Petroleum Processing and Analysis (3 papers), Pharmacological Effects and Toxicity Studies (3 papers), Surface Modification and Superhydrophobicity (2 papers) and Aerogels and thermal insulation (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, Kaiyue Diao, Mingqian Huang, Shaolin Li, Kunwei Li, Xiqi Zhu, Adam Jacobi and Yang Yang. Their work appears in journals such as Energy & Fuels, Infection and Drug Resistance, RSC Advances, Frontiers in Pediatrics and American Journal of Cancer Research.
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.