Sirui Wang

85 total papers · 1.0k total citations
40 papers, 534 citations indexed

About

Sirui Wang is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sirui Wang has authored 40 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 7 papers in Cognitive Neuroscience and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sirui Wang's work include Topic Modeling (21 papers), Natural Language Processing Techniques (14 papers) and Functional Brain Connectivity Studies (5 papers). Sirui Wang is often cited by papers focused on Topic Modeling (21 papers), Natural Language Processing Techniques (14 papers) and Functional Brain Connectivity Studies (5 papers). Sirui Wang collaborates with scholars based in China, United States and United Kingdom. Sirui Wang's co-authors include Fuzheng Zhang, Weiran Xu, Wei Wu, Rumei Li, Yuanmeng Yan, Hongzhi Zhang, Bo Rao, Zhongyuan Wang, Weijing Liao and Haibo Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Advanced Science and Environmental Science and Pollution Research.

In The Last Decade

Sirui Wang

36 papers receiving 519 citations

Hit Papers

ConSERT: A Contrastive Fr... 2021 2026 2022 2024 2021 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Sirui Wang 383 92 70 67 53 40 534
Xueping Peng 224 0.6× 58 0.6× 78 1.1× 113 1.7× 25 0.5× 58 476
Mingquan Ye 179 0.5× 81 0.9× 51 0.7× 37 0.6× 72 1.4× 39 515
Giovanni Paragliola 236 0.6× 67 0.7× 28 0.4× 65 1.0× 58 1.1× 35 512
Abdelmgeid A. Ali 263 0.7× 30 0.3× 44 0.6× 38 0.6× 84 1.6× 28 472
Mengdi Huai 414 1.1× 62 0.7× 44 0.6× 34 0.5× 28 0.5× 43 580
Diwakar Tripathi 372 1.0× 38 0.4× 52 0.7× 69 1.0× 14 0.3× 31 572
Stanisław Saganowski 159 0.4× 61 0.7× 20 0.3× 112 1.7× 49 0.9× 28 548
Kashfia Sailunaz 340 0.9× 75 0.8× 100 1.4× 19 0.3× 37 0.7× 17 595
Wei Bi 314 0.8× 136 1.5× 45 0.6× 12 0.2× 54 1.0× 42 465
Guixiang Ma 323 0.8× 119 1.3× 99 1.4× 85 1.3× 62 1.2× 35 539

Countries citing papers authored by Sirui Wang

Since Specialization
Citations

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

Fields of papers citing papers by Sirui Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sirui Wang

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