Meng Li

401 total papers · 2.7k total citations
175 papers, 1.5k citations indexed

About

Meng Li is a scholar working on Surgery, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Meng Li has authored 175 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Surgery, 30 papers in Computer Vision and Pattern Recognition and 29 papers in Artificial Intelligence. Recurrent topics in Meng Li's work include Medical Image Segmentation Techniques (10 papers), Neural dynamics and brain function (10 papers) and Advanced Neural Network Applications (10 papers). Meng Li is often cited by papers focused on Medical Image Segmentation Techniques (10 papers), Neural dynamics and brain function (10 papers) and Advanced Neural Network Applications (10 papers). Meng Li collaborates with scholars based in China, United States and Israel. Meng Li's co-authors include Joe Z. Tsien, Vikas Chandra, Dilin Wang, Chengyue Gong, Yibu Chen, Sanjeev Kumar, Jinjin Guo, Egor Dolzhenko, Jing Liu and Riana K. Parvez and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

Meng Li

145 papers receiving 1.5k citations

Hit Papers

Vertically Aligned Bismut... 2023 2026 2024 2023 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Meng Li 216 204 203 172 164 175 1.5k
Yi Zhang 272 1.3× 88 0.4× 186 0.9× 153 0.9× 132 0.8× 184 2.1k
S. Lakshminarayanan 150 0.7× 43 0.2× 134 0.7× 202 1.2× 209 1.3× 152 2.1k
Xinde Li 150 0.7× 633 3.1× 163 0.8× 289 1.7× 240 1.5× 196 2.3k
Sergio Casciaro 152 0.7× 291 1.4× 383 1.9× 578 3.4× 64 0.4× 125 2.1k
Yu Guan 543 2.5× 306 1.5× 162 0.8× 367 2.1× 31 0.2× 86 1.8k
Yize Zhao 166 0.8× 107 0.5× 46 0.2× 75 0.4× 119 0.7× 105 1.4k
Santu Rana 87 0.4× 128 0.6× 183 0.9× 259 1.5× 105 0.6× 84 2.1k
John M. Sullivan 96 0.4× 61 0.3× 73 0.4× 150 0.9× 306 1.9× 115 2.1k
Vijaya B. Kolachalama 260 1.2× 150 0.7× 611 3.0× 271 1.6× 30 0.2× 105 2.3k
Suk Lee 59 0.3× 85 0.4× 209 1.0× 154 0.9× 246 1.5× 189 1.7k

Countries citing papers authored by Meng Li

Since Specialization
Citations

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

Fields of papers citing papers by Meng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Li

This figure shows the co-authorship network connecting the top 25 collaborators of Meng Li. A scholar is included among the top collaborators of Meng Li 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 Meng Li. Meng Li 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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