Sen Liang

55 total papers · 1.6k total citations
37 papers, 1.2k citations indexed

About

Sen Liang is a scholar working on Materials Chemistry, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Sen Liang has authored 37 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Materials Chemistry, 8 papers in Computer Vision and Pattern Recognition and 7 papers in Molecular Biology. Recurrent topics in Sen Liang's work include Luminescence Properties of Advanced Materials (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Quantum Dots Synthesis And Properties (5 papers). Sen Liang is often cited by papers focused on Luminescence Properties of Advanced Materials (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Quantum Dots Synthesis And Properties (5 papers). Sen Liang collaborates with scholars based in China, United States and United Kingdom. Sen Liang's co-authors include Bai Yang, Junhu Zhang, Hao Zhang, Zhanhua Wang, Yudong Guo, Juyong Zhang, Hujun Bao, Keyu Chen, Yong‐Jin Liu and Hao Zhang and has published in prestigious journals such as Advanced Functional Materials, Analytical Chemistry and The Science of The Total Environment.

In The Last Decade

Sen Liang

36 papers receiving 1.2k citations

Hit Papers

AD-NeRF: Audio Driven Neu... 2021 2026 2022 2024 2021 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Sen Liang 301 275 256 237 228 37 1.2k
Changliang Guo 172 0.6× 376 1.4× 556 2.2× 350 1.5× 175 0.8× 66 1.5k
Wenhui Yi 462 1.5× 89 0.3× 138 0.5× 423 1.8× 219 1.0× 72 1.2k
Sohrab Ahmadi-Kandjani 362 1.2× 269 1.0× 174 0.7× 241 1.0× 418 1.8× 72 1.1k
Ziyuan Yang 506 1.7× 195 0.7× 203 0.8× 144 0.6× 252 1.1× 106 1.4k
Stefan G. Stanciu 416 1.4× 157 0.6× 71 0.3× 586 2.5× 273 1.2× 121 1.4k
Rafael Camacho 443 1.5× 260 0.9× 34 0.1× 252 1.1× 385 1.7× 41 1.3k
Zihan Li 160 0.5× 49 0.2× 106 0.4× 237 1.0× 164 0.7× 43 942
Weiping Xie 293 1.0× 132 0.5× 241 0.9× 172 0.7× 548 2.4× 96 1.4k
Jeehong Kim 507 1.7× 56 0.2× 143 0.6× 244 1.0× 192 0.8× 72 1.5k
Anming Li 671 2.2× 124 0.5× 143 0.6× 99 0.4× 496 2.2× 72 1.3k

Countries citing papers authored by Sen Liang

Since Specialization
Citations

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

Fields of papers citing papers by Sen Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sen Liang

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