Siyu Liu

83 total papers · 804 total citations
36 papers, 520 citations indexed

About

Siyu Liu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Siyu Liu has authored 36 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Siyu Liu's work include Coding theory and cryptography (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Advanced Neural Network Applications (3 papers). Siyu Liu is often cited by papers focused on Coding theory and cryptography (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Advanced Neural Network Applications (3 papers). Siyu Liu collaborates with scholars based in China, Australia and United States. Siyu Liu's co-authors include Shekhar S. Chandra, Jiahui Pan, Jianhao Yang, ‪Stuart Crozier‬, Fatima Nasrallah, Xinwen Liu, Linhao Qu, Lu Zhang, Xiaoyu Liu and Manning Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Fuel.

In The Last Decade

Siyu Liu

27 papers receiving 508 citations

Author Peers

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

Author						Papers	Cites
Siyu Liu	141	101	83	75	67	36	520
Landon T Detwiler	196 1.4×	63 0.6×	17 0.2×	34 0.5×	45 0.7×	28	605
Yuxi Jia	76 0.5×	34 0.3×	70 0.8×	83 1.1×	15 0.2×	25	595
Susel Góngora Alonso	123 0.9×	39 0.4×	44 0.5×	76 1.0×	36 0.5×	18	558
Riad Alharbey	120 0.9×	67 0.7×	21 0.3×	55 0.7×	76 1.1×	26	466
Guanyu Liu	40 0.3×	75 0.7×	44 0.5×	42 0.6×	58 0.9×	32	525
Dionisio Acosta	59 0.4×	183 1.8×	51 0.6×	49 0.7×	12 0.2×	25	609
Markus Wenzel	104 0.7×	77 0.8×	23 0.3×	15 0.2×	44 0.7×	17	599
Nicole Martinez‐Martin	59 0.4×	33 0.3×	95 1.1×	102 1.4×	27 0.4×	23	605
Erin D. Foster	56 0.4×	26 0.3×	52 0.6×	59 0.8×	13 0.2×	13	567
Stanisław Saganowski	159 1.1×	49 0.5×	188 2.3×	12 0.2×	61 0.9×	28	548

Countries citing papers authored by Siyu Liu

Since Specialization

Citations

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

Fields of papers citing papers by Siyu Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siyu Liu

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