Limei Song

510 citations
51 papers · 357 indexed · h-index 10
Topics
Optical measurement and interference techniques (20 papers)Image Processing Techniques and Applications (9 papers)Advanced Measurement and Metrology Techniques (7 papers)
Journals
SHILAP Revista de lepidopterologíaOptics ExpressIEEE Access

In The Last Decade

Limei Song

40 papers receiving 332 citations

Peers

Limei Song
Comparison fields: 5 of 66
  • Computer Vision and Pattern Recognition 251
  • Media Technology 95
  • Mechanical Engineering 80
  • Electrical and Electronic Engineering 70
  • Industrial and Manufacturing Engineering 49
Replace Yexin Wang with:
Yexin Wang China
Yufu Qu China
Yuxiang Wu China
Jean‐Denis Durou France
Nigel Morris Canada
Yvain Quéau France
Xianming Xie China
Réjean Baribeau Canada
Zhenyao Wu United States
Rudolf Schwarte Germany
Limei Song relative to Yexin Wang China Yexin Wang's profile →
Citations per field
00.5×4.1×
Yexin Wang · 1×
Citations per year

Countries citing papers authored by Limei Song

Since Specialization
Citations

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

Fields of papers citing papers by Limei Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Limei Song

This figure shows the co-authorship network connecting the top 25 collaborators of Limei Song. A scholar is included among the top collaborators of Limei 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 Limei Song. Limei Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 1
4 0
5 2
6 0
7 0
8 3
9 6
10 3
11 5
12 0
13 6
14 6
15 7
16
LncRNA CRNDE and lncRNA SNHG7 are Promising Biomarkers for Prognosis in Synchronous Colorectal Liver Metastasis Following Hepatectomy
1
17 63
18 44
19 6
20 4

About Limei Song

Limei Song is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Geology, having authored 51 papers that have together received 357 indexed citations. Recurring topics across this work include Optical measurement and interference techniques (20 papers), Image Processing Techniques and Applications (9 papers) and Advanced Measurement and Metrology Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (251 citations), Media Technology (95 citations) and Geology (46 citations). Limei Song has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Qinghua Guo, Jiangtao Xi, Xinjun Zhu, Yangang Yang, Hongyi Wang, Yanguang Yu, Jiashuo Shi, Wen‐Wei Lin, Yongkai Yin and Lei Lü. Their work appears in journals such as SHILAP Revista de lepidopterología, Optics Express and IEEE Access.

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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