Shengfeng Liu

82 total papers · 2.1k total citations
44 papers, 1.2k citations indexed

About

Shengfeng Liu is a scholar working on Materials Chemistry, Pediatrics, Perinatology and Child Health and Artificial Intelligence. According to data from OpenAlex, Shengfeng Liu has authored 44 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Materials Chemistry, 5 papers in Pediatrics, Perinatology and Child Health and 5 papers in Artificial Intelligence. Recurrent topics in Shengfeng Liu's work include Inorganic Chemistry and Materials (4 papers), AI in cancer detection (3 papers) and Rare-earth and actinide compounds (3 papers). Shengfeng Liu is often cited by papers focused on Inorganic Chemistry and Materials (4 papers), AI in cancer detection (3 papers) and Rare-earth and actinide compounds (3 papers). Shengfeng Liu collaborates with scholars based in China, United States and Hong Kong. Shengfeng Liu's co-authors include Tianfu Wang, Dong Ni, Xin Yang, Baiying Lei, Li Liu, Yi Wang, John D. Corbett, Brian F. Woodfield, Juliana Boerio‐Goates and Stacey J. Smith and has published in prestigious journals such as Brain, The Journal of Physical Chemistry C and Environmental Pollution.

In The Last Decade

Shengfeng Liu

42 papers receiving 1.2k citations

Hit Papers

Deep Learning in Medical ... 2019 2026 2021 2023 2019 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Shengfeng Liu 344 259 190 187 154 44 1.2k
Rogier R. Wildeboer 335 1.0× 97 0.4× 57 0.3× 456 2.4× 57 0.4× 33 941
Praveer Singh 509 1.5× 255 1.0× 252 1.3× 110 0.6× 101 0.7× 58 1.3k
Ximin Wang 323 0.9× 352 1.4× 157 0.8× 137 0.7× 21 0.1× 29 1.1k
Huihua Kenny Chiang 248 0.7× 165 0.6× 59 0.3× 352 1.9× 13 0.1× 79 1.0k
Alan C. Nelson 288 0.8× 92 0.4× 116 0.6× 233 1.2× 48 0.3× 51 1.2k
Jin K. Kim 127 0.4× 68 0.3× 66 0.3× 93 0.5× 243 1.6× 136 1.3k
Jarmo Teuho 340 1.0× 97 0.4× 30 0.2× 141 0.8× 14 0.1× 84 1.2k
Stacy D. O’Connor 511 1.5× 58 0.2× 41 0.2× 325 1.7× 61 0.4× 46 1.3k
Tianyao Wang 207 0.6× 32 0.1× 96 0.5× 83 0.4× 20 0.1× 84 1.1k
Ho Young Park 81 0.2× 45 0.2× 17 0.1× 335 1.8× 107 0.7× 72 1.4k

Countries citing papers authored by Shengfeng Liu

Since Specialization
Citations

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

Fields of papers citing papers by Shengfeng Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengfeng Liu

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