Lin Song

35 total papers · 763 total citations
21 papers, 472 citations indexed

About

Lin Song is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, Lin Song has authored 21 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Economics and Econometrics. Recurrent topics in Lin Song's work include Advanced Image and Video Retrieval Techniques (6 papers), Advanced Neural Network Applications (5 papers) and Corporate Finance and Governance (3 papers). Lin Song is often cited by papers focused on Advanced Image and Video Retrieval Techniques (6 papers), Advanced Neural Network Applications (5 papers) and Corporate Finance and Governance (3 papers). Lin Song collaborates with scholars based in China, United States and Singapore. Lin Song's co-authors include Hongbin Sun, Zeming Li, Nanning Zheng, Jian Sun, Jianfeng Wang, Yanwei Li, Xiangyu Zhang, Jian Sun, Yukang Chen and Xingang Wang and has published in prestigious journals such as Scientific Reports, International Journal of Environmental Research and Public Health and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Lin Song

21 papers receiving 457 citations

Author Peers

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

Author						Papers	Cites
Lin Song	320	170	42	39	37	21	472
Simant Prakoonwit	104 0.3×	199 1.2×	32 0.8×	44 1.1×	11 0.3×	40	512
Cristiano Leite de Castro	108 0.3×	328 1.9×	26 0.6×	29 0.7×	7 0.2×	39	538
Jiaming Pei	103 0.3×	147 0.9×	10 0.2×	41 1.1×	59 1.6×	45	529
Xiangqian Wang	89 0.3×	179 1.1×	8 0.2×	17 0.4×	39 1.1×	35	467
Xingyuan Zhang	169 0.5×	70 0.4×	13 0.3×	44 1.1×	73 2.0×	26	415
Guang-Tong Zhou	173 0.5×	317 1.9×	36 0.9×	30 0.8×	7 0.2×	16	534
Pei Yang	95 0.3×	156 0.9×	5 0.1×	33 0.8×	20 0.5×	35	436
Narina Thakur	102 0.3×	120 0.7×	6 0.1×	16 0.4×	11 0.3×	28	433
Akshay Vashist	262 0.8×	320 1.9×	7 0.2×	33 0.8×	8 0.2×	14	544
Qi Yu	117 0.4×	256 1.5×	40 1.0×	18 0.5×	10 0.3×	18	430

Countries citing papers authored by Lin Song

Since Specialization

Citations

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

Fields of papers citing papers by Lin Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Song

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