Xiaotao Yin

598 total citations
26 papers, 403 citations indexed

About

Xiaotao Yin is a scholar working on Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Xiaotao Yin has authored 26 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 9 papers in Pulmonary and Respiratory Medicine and 6 papers in Molecular Biology. Recurrent topics in Xiaotao Yin's work include Advanced Neural Network Applications (8 papers), Medical Image Segmentation Techniques (7 papers) and Prostate Cancer Treatment and Research (5 papers). Xiaotao Yin is often cited by papers focused on Advanced Neural Network Applications (8 papers), Medical Image Segmentation Techniques (7 papers) and Prostate Cancer Treatment and Research (5 papers). Xiaotao Yin collaborates with scholars based in China, United States and Israel. Xiaotao Yin's co-authors include Yu Dai, Gongping Chen, Liang Cui, Jiangping Gao, Jiangping Gao, Jianxun Zhang, Jianxun Zhang, Qian Jiang, Yu Zhao and Lu Zhou and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Expert Systems with Applications and Medicine.

In The Last Decade

Xiaotao Yin

25 papers receiving 380 citations

Peers

Xiaotao Yin
Comparison fields: 5 of 71
  • Pulmonary and Respiratory Medicine 130
  • Computer Vision and Pattern Recognition 120
  • Artificial Intelligence 105
  • Radiology, Nuclear Medicine and Imaging 98
  • Oncology 84
Replace Caixia Dong with:
Caixia Dong China
Xiuxiu He United States
Nathan Ing United States
Nick Weiss Germany
Masoumeh Gity Iran
Behnaz Abdollahi United States
Rob Vogels Netherlands
Birgitte Nielsen Norway
Alexandre Carré France
Jianghong Xiao China
Caixia Dong China View profile →
Citations per field, relative to Xiaotao Yin
Xiaotao Yin · 1×
Citations per year, relative to Xiaotao Yin
Xiaotao Yin · 1×

Countries citing papers authored by Xiaotao Yin

Since Specialization
Citations

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

Fields of papers citing papers by Xiaotao Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaotao Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaotao Yin. A scholar is included among the top collaborators of Xiaotao Yin 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 Xiaotao Yin. Xiaotao Yin 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
# Work Indexed citations
1 1
2 35
3 36
4 6
5 33
6 25
7 2
8 17
9 6
10 8
11 16
12 3
13 32
14 2
15 63
16 31
17 26
18 3
19
[Prokaryotic expression, purification and antigenicity identification of recombinant human survivin protein].
0
20
[Prokaryotic expression, purification and antigenicity identification of mouse VEGFR2 extracellular 1-4 IgG-like domains].
1

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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