Bin Xiao

552 citations
25 papers · 355 indexed · h-index 9
Topics
Biosensors and Analytical Detection (7 papers)Identification and Quantification in Food (5 papers)Advanced biosensing and bioanalysis techniques (5 papers)
Partner nations
ChinaCanadaTaiwan

In The Last Decade

Bin Xiao

20 papers receiving 346 citations

Peers

Bin Xiao
Comparison fields: 5 of 90
  • Biomedical Engineering 144
  • Molecular Biology 77
  • Cognitive Neuroscience 64
  • Radiology, Nuclear Medicine and Imaging 64
  • Artificial Intelligence 45
Replace Krzysztof Rzecki with:
Krzysztof Rzecki Poland
Nan Bao China
Cristiano Jacques Miosso Brazil
Jakeoung Koo South Korea
Sajib Saha Australia
Ali Nouri Iran
Hotaka Takizawa Japan
Takeshi Fujimoto Japan
Kuryati Kipli Malaysia
Jang Ho Cho South Korea
Bin Xiao relative to Krzysztof Rzecki Poland Krzysztof Rzecki's profile →
Citations per field
00.5×10×15.8×
Krzysztof Rzecki · 1×
Citations per year

Countries citing papers authored by Bin Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Bin Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Xiao. A scholar is included among the top collaborators of Bin Xiao 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 Bin Xiao. Bin Xiao 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 0
2 3
3 0
4 0
5 0
6 6
7 44
8 6
9 5
10 21
11 9
12 7
13 32
14 6
15 13
16 4
17 84
18 69
19
An adaptive filter based on images' entropy
1
20
Artificial Neural Networks Method for Predicting the Airport Passenger Throughput
1

About Bin Xiao

Bin Xiao is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology, having authored 25 papers that have together received 355 indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (7 papers), Identification and Quantification in Food (5 papers) and Advanced biosensing and bioanalysis techniques (5 papers). The work is most often cited by research in Radiation (43 citations), Cognitive Neuroscience (64 citations) and Biomedical Engineering (144 citations). Bin Xiao has collaborated with scholars based in China, Canada and Taiwan. Frequent co-authors include Juan Zhang, Ailiang Chen, Chien‐Liang Liu, Nan Wang, Wen-Hoar Hsaio, Shaobin Wang, Zheng Miao, Fuquan Zhang, Zhikai Liu and Fengchun Huang. Their work appears in journals such as Food Chemistry, Expert Systems with Applications and IEEE Access.

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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