Lian Yang
Impact in
- Infectious Diseases top 0.5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
-
- Ultrasound in Clinical Applications
Papers in
-
- COVID-19 diagnosis using AI 7
- Radiomics and Machine Learning in Medical Imaging 4
- Advanced Neuroimaging Techniques and Applications 3
-
- COVID-19 Clinical Research Studies 13
- Co-authors
- Chuansheng Zheng (18 shared papers)Jiazheng Wang (11 shared papers)Dandan Zheng (4 shared papers)Feng Pan (16 shared papers)Bo Liang (11 shared papers)Lingli Li (13 shared papers)Tianhe Ye (10 shared papers)Richard L. Hesketh (3 shared papers)
- Journals
- Scientific Reports (5 papers)International Journal of Medical Sciences (4 papers)Carbohydrate Polymers (2 papers)International Journal of Surgery (2 papers)BMC Women s Health (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Lian Yang
62 papers receiving 3.5k citations
Lian Yang's Hit Papers
Peers
Comparison fields: 5 of 140
- Infectious Diseases 1.4k
- Critical Care and Intensive Care Medicine 272
- Obstetrics and Gynecology 378
- Neurology 597
- Radiology, Nuclear Medicine and Imaging 875
Countries citing papers authored by Lian Yang
This map shows the geographic impact of Lian Yang'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 Lian Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lian Yang more than expected).
Fields of papers citing papers by Lian Yang
This network shows the impact of papers produced by Lian Yang. 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 Lian Yang. The network helps show where Lian Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lian Yang, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Time Course of Lung Changes at Chest CT during Recovery from Coronavirus Disease 2019 (COVID-19) Hit paper breakdown → | 2020 | 1947 |
| 2 | Pregnancy and Perinatal Outcomes of Women With Coronavirus Disease (COVID-19) Pneumonia: A Preliminary Analysis Hit paper breakdown → | 2020 | 377 |
| 3 | 2011 | 168 | |
| 4 | 2020 | 155 | |
| 5 | 2020 | 96 | |
| 6 | 2020 | 78 | |
| 7 | 2021 | 75 | |
| 8 | 2020 | 56 | |
| 9 | 2020 | 54 | |
| 10 | 2022 | 43 | |
| 11 | 2021 | 37 | |
| 12 | 2022 | 36 | |
| 13 | 2021 | 34 | |
| 14 | 2023 | 29 | |
| 15 | 2020 | 29 | |
| 16 | 2021 | 25 | |
| 17 | 2020 | 24 | |
| 18 | 2018 | 22 | |
| 19 | 2021 | 19 | |
| 20 | 2023 | 19 |
About Lian Yang
Lian Yang is a scholar working on Radiology, Nuclear Medicine and Imaging, Infectious Diseases, Oncology, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 73 papers that have together received 3.6k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (13 papers), COVID-19 diagnosis using AI (7 papers), Pelvic floor disorders treatments (6 papers), Cancer Immunotherapy and Biomarkers (5 papers), Long-Term Effects of COVID-19 (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Advanced Neuroimaging Techniques and Applications (3 papers). The work is most often cited by research in Infectious Diseases (1.4k citations), Critical Care and Intensive Care Medicine (272 citations), Obstetrics and Gynecology (378 citations), Neurology (597 citations) and Radiology, Nuclear Medicine and Imaging (875 citations). Lian Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Chuansheng Zheng, Jiazheng Wang, Dandan Zheng, Feng Pan, Bo Liang, Lingli Li, Tianhe Ye, Richard L. Hesketh, Peng Sun and Dehan Liu. Their work appears in journals such as Scientific Reports, International Journal of Medical Sciences, Carbohydrate Polymers, International Journal of Surgery and BMC Women s Health.
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.