Xiaoyan Li

2.0k citations
87 papers · 1.4k · 1 hit paper · h-index 20

Impact in

Papers in

Xiaoyan Li

79 papers receiving 1.3k citations

Xiaoyan Li's Hit Papers

GasHis-Transformer: A multi-scale visual transformer approach for gastric histopathological image detection 2022 · 199 citations
1990+1+2Years since publication50100150

Peers

Xiaoyan Li
Comparison fields: 5 of 137
  • Computer Vision and Pattern Recognition 404
  • Media Technology 143
  • Artificial Intelligence 460
  • Radiology, Nuclear Medicine and Imaging 244
  • Aging 19
Replace Rui Yan with:
Rui Yan China
Yujun Shen China
Annalisa Barla Italy
Tammy Riklin Raviv Israel
Shyang Chang Taiwan
Won‐Ki Jeong South Korea
Xinlei Chen China
Jui-Cheng Yen Taiwan
Markus Hadwiger Saudi Arabia
Xiaoyan Li relative to Rui Yan China Rui Yan's profile →
Citations per field
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Rui Yan · 1×
Citations per year

Countries citing papers authored by Xiaoyan Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaoyan Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaoyan Li Line = papers co-authored together Xiaoyan Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1
GasHis-Transformer: A multi-scale visual transformer approach for gastric histopathological image detection
Hit paper breakdown →
2022199
2 2022112
3 201981
4 201980
5 202062
6 202258
7 200551
8 202048
9 202333
10 202033
11 201029
12 202128
13 202227
14 202126
15 202324
16 201921
17 201321
18 202321
19 202020
20 202120

About Xiaoyan Li

Xiaoyan Li is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Media Technology and Ocean Engineering, having authored 87 papers that have together received 1.4k indexed citations. Recurring topics across this work include Infrared Target Detection Methodologies (19 papers), AI in cancer detection (16 papers), Advanced Image Fusion Techniques (10 papers), Advanced Measurement and Detection Methods (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Calibration and Measurement Techniques (7 papers), Satellite Image Processing and Photogrammetry (7 papers) and Advanced Image and Video Retrieval Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (404 citations), Media Technology (143 citations), Artificial Intelligence (460 citations), Radiology, Nuclear Medicine and Imaging (244 citations) and Aging (19 citations). Xiaoyan Li has collaborated with scholars based in China, Germany and Hong Kong. Frequent co-authors include Chen Li, Hongzan Sun, Fansheng Chen, Yixin Li, Marcin Grzegorzek, Md Mamunur Rahaman, Haoyuan Chen, Changhao Sun, Weiming Hu and Wanli Liu. Their work appears in journals such as Remote Sensing, Sensors, Frontiers in Medicine, Remote Sensing of Environment and Brain.

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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