Liling Long
Impact in
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- Heavy Metal Exposure and Toxicity
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- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
- MRI in cancer diagnosis
Papers in
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- Radiomics and Machine Learning in Medical Imaging 27
- MRI in cancer diagnosis 16
- Advanced MRI Techniques and Applications 13
- Hepatology 16
- Hepatocellular Carcinoma Treatment and Prognosis 13
- Co-authors
- Yue‐Ming Jiang (7 shared papers)Wei Zheng (5 shared papers)Muliang Jiang (16 shared papers)Wenbin Guo (7 shared papers)Yuwei Xia (6 shared papers)Feng Liu (6 shared papers)Changqing Xiao (6 shared papers)Jian Zhang (4 shared papers)
- Journals
- Abdominal Radiology (5 papers)Frontiers in Oncology (4 papers)Scientific Reports (4 papers)Journal of Magnetic Resonance Imaging (3 papers)PLoS ONE (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Liling Long
93 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 97
- Health, Toxicology and Mutagenesis 313
- Radiology, Nuclear Medicine and Imaging 457
- Cognitive Neuroscience 286
- Hepatology 107
- Genetics 64
Countries citing papers authored by Liling Long
This map shows the geographic impact of Liling Long'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 Liling Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liling Long more than expected).
Fields of papers citing papers by Liling Long
This network shows the impact of papers produced by Liling Long. 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 Liling Long. The network helps show where Liling Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Liling Long, 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 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 136 | |
| 2 | 2012 | 129 | |
| 3 | 2006 | 122 | |
| 4 | 2014 | 87 | |
| 5 | 2014 | 61 | |
| 6 | 2019 | 52 | |
| 7 | 2008 | 45 | |
| 8 | 2019 | 45 | |
| 9 | 2016 | 43 | |
| 10 | 2014 | 42 | |
| 11 | 2019 | 41 | |
| 12 | 2014 | 40 | |
| 13 | 2014 | 36 | |
| 14 | 2021 | 30 | |
| 15 | 2015 | 29 | |
| 16 | 2009 | 28 | |
| 17 | 2019 | 28 | |
| 18 | 2017 | 24 | |
| 19 | 2021 | 23 | |
| 20 | 2022 | 23 |
About Liling Long
Liling Long is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology, Genetics, Health, Toxicology and Mutagenesis and Cognitive Neuroscience, having authored 102 papers that have together received 1.5k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (27 papers), MRI in cancer diagnosis (16 papers), Hepatocellular Carcinoma Treatment and Prognosis (13 papers), Advanced MRI Techniques and Applications (13 papers), Heavy Metal Exposure and Toxicity (6 papers), Functional Brain Connectivity Studies (6 papers), Psychosomatic Disorders and Their Treatments (6 papers) and Hemoglobinopathies and Related Disorders (6 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (313 citations), Radiology, Nuclear Medicine and Imaging (457 citations), Cognitive Neuroscience (286 citations), Hepatology (107 citations) and Genetics (64 citations). Liling Long has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yue‐Ming Jiang, Wei Zheng, Muliang Jiang, Wenbin Guo, Yuwei Xia, Feng Liu, Changqing Xiao, Jian Zhang, Yi Dai and Ulrike Dydak. Their work appears in journals such as Abdominal Radiology, Frontiers in Oncology, Scientific Reports, Journal of Magnetic Resonance Imaging and PLoS ONE.
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.