Liang Sang

47 total papers · 715 total citations
37 papers, 481 citations indexed

About

Liang Sang is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Biomedical Engineering. According to data from OpenAlex, Liang Sang has authored 37 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Surgery and 7 papers in Biomedical Engineering. Recurrent topics in Liang Sang's work include Radiomics and Machine Learning in Medical Imaging (11 papers), AI in cancer detection (5 papers) and Thyroid Cancer Diagnosis and Treatment (5 papers). Liang Sang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (11 papers), AI in cancer detection (5 papers) and Thyroid Cancer Diagnosis and Treatment (5 papers). Liang Sang collaborates with scholars based in China, Singapore and India. Liang Sang's co-authors include Dongyang Xu, Ruiyang Ma, Afsana Sheikh, Mahak Fatima, Mohammed A. S. Abourehab, Zhe‐Sheng Chen, Prashant Kesharwani, Neelima Gupta, Yun Zhou and Wenjing Zhao and has published in prestigious journals such as Scientific Reports, Molecular Cancer and Advanced Science.

In The Last Decade

Liang Sang

30 papers receiving 475 citations

Hit Papers

Gold nanoparticles and go... 2023 2026 2024 2023 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Liang Sang 169 155 90 73 70 37 481
Hui Tan 129 0.8× 197 1.3× 59 0.7× 73 1.0× 56 0.8× 29 525
Shuyan Yang 164 1.0× 208 1.3× 81 0.9× 34 0.5× 26 0.4× 41 505
Diêgo S. Ferreira 133 0.8× 175 1.1× 157 1.7× 54 0.7× 84 1.2× 23 517
Ping Zhao 148 0.9× 225 1.5× 42 0.5× 133 1.8× 39 0.6× 31 544
Hemang Patel 98 0.6× 147 0.9× 55 0.6× 54 0.7× 42 0.6× 25 515
Cong Fu 165 1.0× 140 0.9× 64 0.7× 47 0.6× 30 0.4× 51 460
Liliana Aranda‐Lara 133 0.8× 108 0.7× 83 0.9× 89 1.2× 161 2.3× 42 405
Zhiying Shao 117 0.7× 169 1.1× 78 0.9× 118 1.6× 39 0.6× 38 477
Min Huang 156 0.9× 116 0.7× 75 0.8× 36 0.5× 28 0.4× 27 417
Marta Sevieri 152 0.9× 160 1.0× 124 1.4× 53 0.7× 24 0.3× 25 421

Countries citing papers authored by Liang Sang

Since Specialization
Citations

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

Fields of papers citing papers by Liang Sang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Sang

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