Shenglan Liu

116 total papers · 627 total citations
59 papers, 384 citations indexed

About

Shenglan Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Shenglan Liu has authored 59 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 9 papers in Computational Mechanics. Recurrent topics in Shenglan Liu's work include Face and Expression Recognition (13 papers), Human Pose and Action Recognition (11 papers) and Advanced Image and Video Retrieval Techniques (9 papers). Shenglan Liu is often cited by papers focused on Face and Expression Recognition (13 papers), Human Pose and Action Recognition (11 papers) and Advanced Image and Video Retrieval Techniques (9 papers). Shenglan Liu collaborates with scholars based in China and United Kingdom. Shenglan Liu's co-authors include Lin Feng, Jun Wu, Hong Qiao, Hongwei Zhang, Paul L. Rosin, Frank C. Langbein, Feng Lin, Guang Hu, Yang Liu and Ralph R. Martin and has published in prestigious journals such as IEEE Access, Neurocomputing and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Shenglan Liu

57 papers receiving 374 citations

Author Peers

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

Author Last Decade Papers Cites
Shenglan Liu 280 96 57 40 35 59 384
Jianhou Gan 159 0.6× 88 0.9× 49 0.9× 17 0.4× 25 0.7× 65 365
Xin Guo 256 0.9× 125 1.3× 20 0.4× 34 0.8× 40 1.1× 62 446
Achintya Das 219 0.8× 62 0.6× 47 0.8× 14 0.3× 43 1.2× 35 428
B.G. Batchelor 237 0.8× 57 0.6× 39 0.7× 23 0.6× 16 0.5× 63 437
Weizhi Lu 249 0.9× 86 0.9× 42 0.7× 96 2.4× 89 2.5× 30 444
Frederick M. Waltz 223 0.8× 76 0.8× 58 1.0× 29 0.7× 51 1.5× 54 394
Yunqi Lei 210 0.8× 51 0.5× 21 0.4× 72 1.8× 18 0.5× 45 336
Jinlong Shi 249 0.9× 65 0.7× 42 0.7× 29 0.7× 10 0.3× 48 381
Min Kong 155 0.6× 147 1.5× 37 0.6× 30 0.8× 21 0.6× 39 410
Yang Yu 300 1.1× 83 0.9× 73 1.3× 39 1.0× 38 1.1× 36 432

Countries citing papers authored by Shenglan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Shenglan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shenglan Liu

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