Ying Liang
- Cancer Research top 2%
- Cancer-related molecular mechanisms research 12
- MicroRNA in disease regulation 9
- Oncology top 5%
- Lung Cancer Research Studies 13
- Catalysis top 5%
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- Lung Cancer Treatments and Mutations 27
- Lung Cancer Diagnosis and Treatment 13
- Otorhinolaryngology top 5%
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- Radiomics and Machine Learning in Medical Imaging 14
- Medical Imaging Techniques and Applications 12
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- Protein Hydrolysis and Bioactive Peptides 9
- Cited by
- Cancer ResearchOncologyCatalysis
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Advanced Materials (1 paper)Nature Communications (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ying Liang
151 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Cancer Research 646
- Oncology 921
- Catalysis 212
- Pulmonary and Respiratory Medicine 1000
- Otorhinolaryngology 84
Countries citing papers authored by Ying Liang
This map shows the geographic impact of Ying Liang'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 Ying Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Liang more than expected).
Fields of papers citing papers by Ying Liang
This network shows the impact of papers produced by Ying Liang. 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 Ying Liang. The network helps show where Ying Liang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ying Liang, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 3 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 7 | |
| 7 | 2024 | 9 | |
| 8 | 2022 | 17 | |
| 9 | 2022 | 14 | |
| 10 | 2019 | 35 | |
| 11 | 2018 | 32 | |
| 12 | 2017 | 15 | |
| 13 | 2017 | 10 | |
| 14 | 2017 | 3 | |
| 15 | 2017 | 9 | |
| 16 | 2016 | 1 | |
| 17 | 2016 | 39 | |
| 18 | 2013 | 43 | |
| 19 | Incidence Trend of Hepatitis B in Lianyungang,1997-2008 | 2010 | 1 |
| 20 | Heterogeneous Multisensor Data Fusion with Neural Network: Creating Network Security Situation Awareness. | 2007 | 6 |
About Ying Liang
Ying Liang is a scholar working on Aging, Pulmonary and Respiratory Medicine and Oncology, having authored 167 papers that have together received 3.6k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (27 papers), Radiomics and Machine Learning in Medical Imaging (14 papers), Lung Cancer Diagnosis and Treatment (13 papers), Lung Cancer Research Studies (13 papers), Medical Imaging Techniques and Applications (12 papers), Cancer-related molecular mechanisms research (12 papers), MicroRNA in disease regulation (9 papers) and Protein Hydrolysis and Bioactive Peptides (9 papers). The work is most often cited by research in Cancer Research (646 citations), Oncology (921 citations) and Catalysis (212 citations). Ying Liang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Qinlu Lin, Yongbin Lin, Heather A. Wakelee, Feijun Luo, Mingyi Li, Kaifeng Qiu, Wei Wu, Hui Liu, Viola W. Zhu and Thanyanan Reungwetwattana. Their work appears in journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Nature Communications.
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.