Liling Long

97 papers and 1.4k indexed citations i.

About

Liling Long is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology and Hepatology. According to data from OpenAlex, Liling Long has authored 97 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Radiology, Nuclear Medicine and Imaging, 23 papers in Epidemiology and 23 papers in Hepatology. Recurrent topics in Liling Long’s work include Radiomics and Machine Learning in Medical Imaging (25 papers), Hepatocellular Carcinoma Treatment and Prognosis (22 papers) and Liver Disease Diagnosis and Treatment (20 papers). Liling Long is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (25 papers), Hepatocellular Carcinoma Treatment and Prognosis (22 papers) and Liver Disease Diagnosis and Treatment (20 papers). Liling Long collaborates with scholars based in China, United States and Singapore. Liling Long's co-authors include Yue‐Ming Jiang, Wei Zheng, Muliang Jiang, Wenbin Guo, Feng Liu, Yuwei Xia, Changqing Xiao, Yi Dai, Jian Zhang and Yong Tang and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Liling Long i

Fields of papers citing papers by Liling Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Liling Long

Since Specialization
Citations

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).

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.

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2025