Bo Song

146 total papers · 1.7k total citations
85 papers, 1.1k citations indexed

About

Bo Song is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Bo Song has authored 85 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Control and Systems Engineering, 17 papers in Artificial Intelligence and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Bo Song's work include Stability and Control of Uncertain Systems (17 papers), Neural Networks Stability and Synchronization (9 papers) and Semantic Web and Ontologies (6 papers). Bo Song is often cited by papers focused on Stability and Control of Uncertain Systems (17 papers), Neural Networks Stability and Synchronization (9 papers) and Semantic Web and Ontologies (6 papers). Bo Song collaborates with scholars based in China, United States and South Korea. Bo Song's co-authors include Shengyuan Xu, Ju H. Park, Zuhua Jiang, Zheng‐Guang Wu, Jianwei Xia, Jian‐Qiao Sun, Hongye Su, Junwei Lu, Wei Yan and Xinyu Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Langmuir.

In The Last Decade

Bo Song

78 papers receiving 1.0k citations

Author Peers

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

Author						Papers	Cites
Bo Song	411	294	118	98	85	85	1.1k
Jian Chen	419 1.0×	457 1.6×	149 1.3×	58 0.6×	93 1.1×	70	1.2k
Guiyun Liu	172 0.4×	271 0.9×	180 1.5×	41 0.4×	41 0.5×	96	1.1k
Yan Li	427 1.0×	200 0.7×	169 1.4×	30 0.3×	184 2.2×	120	1.2k
Eric Tatara	217 0.5×	106 0.4×	99 0.8×	48 0.5×	19 0.2×	37	892
Choujun Zhan	143 0.3×	131 0.4×	235 2.0×	59 0.6×	23 0.3×	86	1.2k
Li Chai	183 0.4×	161 0.5×	73 0.6×	88 0.9×	21 0.2×	200	1.0k
Shurong Li	396 1.0×	100 0.3×	73 0.6×	138 1.4×	52 0.6×	131	900
Sami El Ferik	672 1.6×	346 1.2×	106 0.9×	27 0.3×	86 1.0×	123	1.2k
Giuseppe Vizzari	367 0.9×	86 0.3×	189 1.6×	25 0.3×	34 0.4×	113	1.2k
Philippe De Wilde	67 0.2×	145 0.5×	287 2.4×	66 0.7×	85 1.0×	96	1.0k

Countries citing papers authored by Bo Song

Since Specialization

Citations

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

Fields of papers citing papers by Bo Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bo Song

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