Xiyu Yang

1.0k total citations · 1 hit paper
19 papers, 643 citations indexed

About

Xiyu Yang is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Pharmacology. According to data from OpenAlex, Xiyu Yang has authored 19 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Pharmacology. Recurrent topics in Xiyu Yang's work include Advanced Image and Video Retrieval Techniques (5 papers), Image Retrieval and Classification Techniques (5 papers) and Plant Gene Expression Analysis (4 papers). Xiyu Yang is often cited by papers focused on Advanced Image and Video Retrieval Techniques (5 papers), Image Retrieval and Classification Techniques (5 papers) and Plant Gene Expression Analysis (4 papers). Xiyu Yang collaborates with scholars based in China, United States and Macao. Xiyu Yang's co-authors include Xueming Qian, Shucai Wang, Siyu Chen, Chunjiang Hou, Xiaoping Wang, Xiao Gao, Qianqian Li, Li Wang, Wei Wang and Yao Xue and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

Xiyu Yang

19 papers receiving 632 citations

Hit Papers

Alternative splicing and related RNA binding proteins in ... 2024 2026 2025 2024 25 50 75 100

Peers

Xiyu Yang
Comparison fields: 5 of 98
  • Materials Chemistry 197
  • Molecular Biology 197
  • Plant Science 197
  • Computer Vision and Pattern Recognition 105
  • Biomedical Engineering 74
Replace Xiaohan Jiang with:
Xiaohan Jiang China
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Chul-Su Kim South Korea
D. Jeya Sundara Sharmila India
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Xiaohan Jiang China View profile →
Citations per field, relative to Xiyu Yang
Xiyu Yang · 1×
Citations per year, relative to Xiyu Yang
Xiyu Yang · 1×

Countries citing papers authored by Xiyu Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiyu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiyu Yang

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

All Works

19 of 19 papers shown
# Work Indexed citations
1 8
2 7
3 2
4
Alternative splicing and related RNA binding proteins in human health and disease breakdown →
111
5 8
6 11
7 13
8 31
9 4
10 12
11 4
12 4
13 263
14 46
15 30
16 60
17 5
18 5
19 19

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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