Youyi Song

40 total papers · 1.6k total citations
34 papers, 1.2k citations indexed

About

Youyi Song is a scholar working on Artificial Intelligence, Building and Construction and Control and Systems Engineering. According to data from OpenAlex, Youyi Song has authored 34 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 13 papers in Building and Construction and 10 papers in Control and Systems Engineering. Recurrent topics in Youyi Song's work include Traffic Prediction and Management Techniques (13 papers), AI in cancer detection (11 papers) and Traffic control and management (10 papers). Youyi Song is often cited by papers focused on Traffic Prediction and Management Techniques (13 papers), AI in cancer detection (11 papers) and Traffic control and management (10 papers). Youyi Song collaborates with scholars based in China, Hong Kong and Singapore. Youyi Song's co-authors include Teng Zhou, Baiying Lei, Tianfu Wang, Siping Chen, Dong Ni, Jing Qin, Dazhi Jiang, Ling Zhang, Jie‐Zhi Cheng and Ee-Leng Tan and has published in prestigious journals such as Bioinformatics, IEEE Access and IEEE Transactions on Medical Imaging.

In The Last Decade

Youyi Song

34 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Youyi Song 593 362 305 234 232 34 1.2k
Chu Han 539 0.9× 107 0.3× 613 2.0× 79 0.3× 518 2.2× 69 1.4k
Chuang Zhu 415 0.7× 64 0.2× 768 2.5× 79 0.3× 272 1.2× 105 1.5k
Ying Wei 809 1.4× 179 0.5× 284 0.9× 99 0.4× 71 0.3× 49 1.5k
Kai Xu 206 0.3× 276 0.8× 517 1.7× 384 1.6× 98 0.4× 59 1.5k
Xintong Yan 246 0.4× 115 0.3× 121 0.4× 54 0.2× 75 0.3× 61 983
Xu Zhang 475 0.8× 189 0.5× 108 0.4× 99 0.4× 63 0.3× 52 1.1k
Dong Liu 285 0.5× 231 0.6× 174 0.6× 521 2.2× 104 0.4× 70 1.4k
Xiang Wang 266 0.4× 105 0.3× 184 0.6× 175 0.7× 30 0.1× 83 1.3k
Longbiao Chen 173 0.3× 223 0.6× 207 0.7× 67 0.3× 10 0.0× 68 951
Boaz Lerner 399 0.7× 45 0.1× 176 0.6× 54 0.2× 17 0.1× 66 1.2k

Countries citing papers authored by Youyi Song

Since Specialization
Citations

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

Fields of papers citing papers by Youyi Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Youyi Song

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