Xiaobin Shen

22 papers receiving 445 citations

Peers

Xiaobin Shen
Comparison fields: 5 of 103
  • Signal Processing 156
  • Behavioral Neuroscience 26
  • Obstetrics and Gynecology 34
  • Human-Computer Interaction 30
  • Artificial Intelligence 169
Replace Zhenming Yuan with:
Zhenming Yuan China
Muhammet Baykara Türkiye
Ruth Wario South Africa
Zhaohui Wang China
Dongdong Zhang China
Hitoshi Aida Japan
Andrew Guillory United States
Jianwei Liu China
Xiaobin Shen relative to Zhenming Yuan China Zhenming Yuan's profile →
Citations per field
00.5×4.9×
Zhenming Yuan · 1×
Citations per year

Countries citing papers authored by Xiaobin Shen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobin Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009159
2 2009131
3 202130
4 201125
5 200719
6 200914
7 200813
8 200511
9
Intrusive and Non-intrusive Evaluation of Ambient Displays
20078
10 20068
11 20107
12 20046
13
MoneyTree: Ambient Information Visualization Of Financial Data.
20036
14 20136
15
Using MoneyColor to represent financial data
20054
16 20044
17
Analysis on three dimensional water droplets impingement characteristics of engine inlet
20113
18 20093
19 20082
20 20091

About Xiaobin Shen

Xiaobin Shen is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Management, Human-Computer Interaction, Mechanical Engineering and Cellular and Molecular Neuroscience, having authored 22 papers that have together received 462 indexed citations. Recurring topics across this work include Data Visualization and Analytics (9 papers), Personal Information Management and User Behavior (5 papers), Innovative Human-Technology Interaction (3 papers), Cerebrospinal fluid and hydrocephalus (2 papers), Multimedia Communication and Technology (2 papers), Interactive and Immersive Displays (2 papers), Image and Video Quality Assessment (2 papers) and Research Data Management Practices (2 papers). The work is most often cited by research in Signal Processing (156 citations), Behavioral Neuroscience (26 citations), Obstetrics and Gynecology (34 citations), Human-Computer Interaction (30 citations) and Artificial Intelligence (169 citations). Xiaobin Shen has collaborated with scholars based in Australia, China and Ireland. Frequent co-authors include Xinchun Yin, Xie Li, Bing Mao, Ping Chen, Hai Xiao, David W. Smith, Shaun McGrath, Warwick Giles, Andrew Bisits and Patrick McElduff. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Biosystems Engineering, Lecture notes in computer science, International Journal of Ambient Computing and Intelligence and Beijing Hangkong Hangtian Daxue xuebao.

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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