Siying Liu

914 citations
29 papers · 594 indexed · h-index 12
Topics
Advanced Image and Video Retrieval Techniques (8 papers)Dental materials and restorations (5 papers)Advanced Vision and Imaging (5 papers)

In The Last Decade

Siying Liu

26 papers receiving 585 citations

Peers

Siying Liu
Comparison fields: 5 of 119
  • Computer Vision and Pattern Recognition 277
  • Aerospace Engineering 132
  • Orthodontics 104
  • Periodontics 66
  • Oral Surgery 59
Replace Ahmed S. Ibrahim with:
Ahmed S. Ibrahim United States
Hongmei Wang China
T. Manigandan India
Rômulo Silva de Oliveira Brazil
Jaesik Lee South Korea
B. Sujatha India
In-Hwan Kim South Korea
Qi Fan China
Mayank Bansal India
Siying Liu relative to Ahmed S. Ibrahim United States Ahmed S. Ibrahim's profile →
Citations per field
00.5×7.5×
Ahmed S. Ibrahim · 1×
Citations per year

Countries citing papers authored by Siying Liu

Since Specialization
Citations

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

Fields of papers citing papers by Siying Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siying Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Siying Liu. A scholar is included among the top collaborators of Siying Liu 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 Siying Liu. Siying Liu 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 4
2 4
3 9
4 15
5 0
6 3
7 18
8 9
9 3
10 69
11 38
12 64
13 2
14 3
15
Sustainable Tourism Development Frameworks and Best Practices: Implications for the Cuban Tourism Industry
20
16 0
17 28
18 7
19
Extended Visual Memory for Computer-Aided Vision
1
20 204

About Siying Liu

Siying Liu is a scholar working on Orthodontics, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 29 papers that have together received 594 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (8 papers), Dental materials and restorations (5 papers) and Advanced Vision and Imaging (5 papers). The work is most often cited by research in Orthodontics (104 citations), Periodontics (66 citations) and Computer Vision and Pattern Recognition (277 citations). Siying Liu has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Wen-Yan Lin, Yasuyuki Matsushita, Tian-Tsong Ng, Loong‐Fah Cheong, Cui Huang, Hongye Yang, Hui-yi Yan, Yake Wang, Fangfang Song and Jingmei Guo. Their work appears in journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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