Xiaoyan Xu

1.1k citations
52 papers · 798 indexed · 1 hit paper · h-index 11

Xiaoyan Xu

44 papers receiving 770 citations

Hit Papers

An Open Access Database for Evaluating the Algorithms of ...4352018202620202023100200300400

Peers

Xiaoyan Xu
Comparison fields: 5 of 99
  • Cardiology and Cardiovascular Medicine 465
  • Cognitive Neuroscience 329
  • Pulmonary and Respiratory Medicine 122
  • Energy Engineering and Power Technology 11
  • Health Informatics 4
Replace Brij N. Singh with:
Brij N. Singh United States
Carl R. Andersson Sweden
Jian‐Xing Wu Taiwan
Alejandro Zamora‐Mendez Mexico
Ayan Mukherjee India
R. Ruı́z Spain
Xingyao Wang China
Olli Lahdenoja Finland
Olivier Chételat Switzerland
Khawla Alzoubi Qatar
Xiaoyan Xu relative to Brij N. Singh United States Brij N. Singh's profile →
Citations per field
00.5×1.5×2.1×
Brij N. Singh · 1×
Citations per year

Countries citing papers authored by Xiaoyan Xu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyan Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Xiaoyan Xu, 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 Xu Line = papers co-authored together Xiaoyan Xu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20241
4 202310
5 20235
6 20231
7 20237
8 202317
9 20237
10 20237
11 202227
12 20220
13 202112
14
Deep Learning Based Cell Parasites Detection.
20201
15 20209
16 20202
17 202014
18
Analysis of energy saving potential using shadings and natural ventilation in four major cities in China
20112
19
Update: influenza activity - United States, August 30, 2009-January 9, 2010.
201038
20
Update: influenza activity - United States, August 30-October 31, 2009.
200933

About Xiaoyan Xu

Xiaoyan Xu is a scholar working on Computer Vision and Pattern Recognition, General Decision Sciences and Environmental Engineering, having authored 52 papers that have together received 798 indexed citations. Recurring topics across this work include Maritime Transport Emissions and Efficiency (4 papers), Advanced Battery Technologies Research (4 papers), EEG and Brain-Computer Interfaces (4 papers), Advanced Vision and Imaging (4 papers), Digital Media Forensic Detection (4 papers), Medical Image Segmentation Techniques (3 papers), Advanced Steganography and Watermarking Techniques (3 papers) and HVDC Systems and Fault Protection (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (465 citations), Cognitive Neuroscience (329 citations) and Pulmonary and Respiratory Medicine (122 citations). Xiaoyan Xu has collaborated with scholars based in China, Canada and Poland. Frequent co-authors include Chengyu Liu, Shoushui Wei, Caiyun Ma, Xiangyu Zhang, WU Xiao-ling, Yulin Liu, Lina Zhao, Zhiqiang He, Feifei Liu and Jianqing Li. Their work appears in journals such as Advanced Functional Materials, Scientific Reports and Journal of Marketing Research.

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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