Sheng Lian

42 total papers · 1.6k total citations
23 papers, 974 citations indexed

About

Sheng Lian is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Sheng Lian has authored 23 papers receiving a total of 974 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 10 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Artificial Intelligence. Recurrent topics in Sheng Lian's work include Advanced Neural Network Applications (11 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and COVID-19 diagnosis using AI (4 papers). Sheng Lian is often cited by papers focused on Advanced Neural Network Applications (11 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and COVID-19 diagnosis using AI (4 papers). Sheng Lian collaborates with scholars based in China, United States and Canada. Sheng Lian's co-authors include Zhiming Luo, Shaozi Li, Xiao Xiao, Zhun Zhong, Songzhi Su, Dazhen Lin, Fengxiang Yang, Shaohao Chen, Changfa Guo and Kai Zhu and has published in prestigious journals such as Brain, Aquaculture and eLife.

In The Last Decade

Sheng Lian

22 papers receiving 960 citations

Hit Papers

Weighted Res-UNet for Hig... 2018 2026 2020 2023 2018 2024 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
Sheng Lian 581 372 268 149 133 23 974
Bingzhi Chen 628 1.1× 417 1.1× 458 1.7× 171 1.1× 120 0.9× 26 1.2k
Seyed‐Ahmad Ahmadi 339 0.6× 299 0.8× 182 0.7× 212 1.4× 190 1.4× 48 1.2k
Yue Zhou 371 0.6× 253 0.7× 300 1.1× 44 0.3× 112 0.8× 52 871
John Arévalo 366 0.6× 481 1.3× 700 2.6× 93 0.6× 59 0.4× 29 1.0k
Zhemin Zhuang 289 0.5× 388 1.0× 410 1.5× 84 0.6× 66 0.5× 55 831
Fen Xiao 508 0.9× 267 0.7× 162 0.6× 157 1.1× 84 0.6× 53 899
Zekuan Yu 276 0.5× 452 1.2× 245 0.9× 91 0.6× 115 0.9× 62 891
Lin Han 398 0.7× 354 1.0× 351 1.3× 101 0.7× 142 1.1× 49 1.1k
Farshad Tajeripour 414 0.7× 277 0.7× 151 0.6× 121 0.8× 45 0.3× 36 804
Yuqian Zhao 649 1.1× 285 0.8× 260 1.0× 95 0.6× 159 1.2× 97 1.1k

Countries citing papers authored by Sheng Lian

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Lian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Lian

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