Fankun Meng

1.1k total citations · 1 hit paper
30 papers, 737 citations indexed

About

Fankun Meng is a scholar working on Epidemiology, Hepatology and Surgery. According to data from OpenAlex, Fankun Meng has authored 30 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Epidemiology, 17 papers in Hepatology and 5 papers in Surgery. Recurrent topics in Fankun Meng's work include Liver Disease Diagnosis and Treatment (20 papers), Liver Disease and Transplantation (10 papers) and Hepatitis B Virus Studies (8 papers). Fankun Meng is often cited by papers focused on Liver Disease Diagnosis and Treatment (20 papers), Liver Disease and Transplantation (10 papers) and Hepatitis B Virus Studies (8 papers). Fankun Meng collaborates with scholars based in China, Australia and Canada. Fankun Meng's co-authors include Rongqin Zheng, Kun Wang, Hui Zhou, Jie Tian, Xue Lu, Changzhu Liu, Ping Liang, Tianan Jiang, Yongping Lu and Changjun Wu and has published in prestigious journals such as Gut, Sensors and Applied Soft Computing.

In The Last Decade

Fankun Meng

25 papers receiving 721 citations

Hit Papers

Deep learning Radiomics of shear wave elastography signif... 2018 2026 2020 2023 2018 100 200 300

Peers

Fankun Meng
Comparison fields: 5 of 83
  • Epidemiology 328
  • Hepatology 308
  • Radiology, Nuclear Medicine and Imaging 291
  • Artificial Intelligence 108
  • Surgery 83
Replace Yongping Lu with:
Yongping Lu China
Wen‐Chun Yeh Taiwan
Si‐Min Ruan China
Franck Vandenbroucke‐Menu Canada
Felix Hähn Germany
Hong‐Ming Tsai Taiwan
Milena Cerny Canada
Hye Young Jang South Korea
Jong Keon Jang South Korea
Yongping Lu China View profile →
Citations per field, relative to Fankun Meng
Fankun Meng · 1×
Citations per year, relative to Fankun Meng
Fankun Meng · 1×

Countries citing papers authored by Fankun Meng

Since Specialization
Citations

This map shows the geographic impact of Fankun Meng'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 Fankun Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fankun Meng more than expected).

Fields of papers citing papers by Fankun Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fankun Meng. 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 Fankun Meng. The network helps show where Fankun Meng may publish in the future.

Co-authorship network of co-authors of Fankun Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Fankun Meng. A scholar is included among the top collaborators of Fankun Meng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fankun Meng. Fankun Meng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 0
5 4
6 3
7 1
8 1
9 5
10 0
11 26
12 11
13 49
14 1
15 6
16
Deep learning Radiomics of shear wave elastography significantly improved diagnostic performance for assessing liver fibrosis in chronic hepatitis B: a prospective multicentre study breakdown →
380
17 80
18 34
19 21
20 14

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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