Fanbo Meng

100 total papers · 1.2k total citations
68 papers, 900 citations indexed

About

Fanbo Meng is a scholar working on Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Fanbo Meng has authored 68 papers receiving a total of 900 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 15 papers in Surgery and 11 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Fanbo Meng's work include Speech Recognition and Synthesis (9 papers), Lipoproteins and Cardiovascular Health (7 papers) and Speech and Audio Processing (5 papers). Fanbo Meng is often cited by papers focused on Speech Recognition and Synthesis (9 papers), Lipoproteins and Cardiovascular Health (7 papers) and Speech and Audio Processing (5 papers). Fanbo Meng collaborates with scholars based in China, Hong Kong and United States. Fanbo Meng's co-authors include Heyu Meng, Xiabin Jing, Yubin Huang, Zhigang Xie, Huihui Kuang, Xiangdong Li, Dongfang Zhou, Suhong Wu, Jia Jia and Yanqiu Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Fanbo Meng

61 papers receiving 878 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Fanbo Meng 232 154 141 102 100 68 900
Zhihui Xu 431 1.9× 90 0.6× 106 0.8× 207 2.0× 111 1.1× 42 985
Varvara Valotassiou 162 0.7× 100 0.6× 77 0.5× 110 1.1× 96 1.0× 59 987
Chenxi Yang 305 1.3× 131 0.9× 69 0.5× 116 1.1× 41 0.4× 44 751
Kan Wang 304 1.3× 107 0.7× 79 0.6× 244 2.4× 161 1.6× 45 882
Żaneta Kałuzińska‐Kołat 326 1.4× 119 0.8× 67 0.5× 133 1.3× 43 0.4× 44 817
Qianqian Liu 333 1.4× 68 0.4× 36 0.3× 162 1.6× 61 0.6× 83 1.0k
Mohammad Rahmati 373 1.6× 60 0.4× 97 0.7× 61 0.6× 67 0.7× 51 761
Ming Zhao 346 1.5× 75 0.5× 61 0.4× 91 0.9× 38 0.4× 53 767
Hamid Khodayari 392 1.7× 124 0.8× 51 0.4× 93 0.9× 77 0.8× 34 871
Adriano de Paula Sabino 269 1.2× 83 0.5× 107 0.8× 107 1.0× 119 1.2× 93 955

Countries citing papers authored by Fanbo Meng

Since Specialization
Citations

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

Fields of papers citing papers by Fanbo Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fanbo Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Fanbo Meng. A scholar is included among the top collaborators of Fanbo 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 Fanbo Meng. Fanbo Meng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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