Xiaoming Xi

3.8k citations
130 papers · 2.5k · h-index 27

Impact in

Papers in

Xiaoming Xi

119 papers receiving 2.4k citations

Peers

Xiaoming Xi
Comparison fields: 5 of 132
  • Signal Processing 771
  • Computer Vision and Pattern Recognition 691
  • Language and Linguistics 274
  • Artificial Intelligence 839
  • Developmental and Educational Psychology 272
Replace George R. Doddington with:
George R. Doddington United States
Christopher Collins Canada
Trevor Cohn Australia
Katrin Kirchhoff United States
Douwe Kiela Israel
Noah Constant United States
Joshua Goodman United States
Wayne Ward United States
Jörg Tiedemann Sweden
Matthew Stone United States
Xiaoming Xi relative to George R. Doddington United States George R. Doddington's profile →
Citations per field
00.5×7.0×
George R. Doddington · 1×
Citations per year

Countries citing papers authored by Xiaoming Xi

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoming Xi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012234
2 2009174
3 2017133
4 2010106
5 201295
6 201687
7 201080
8 201078
9 201275
10 201848
11 202042
12 200741
13 201640
14 201739
15 202037
16 200837
17 200937
18 201434
19 201334
20 202232

About Xiaoming Xi

Xiaoming Xi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Signal Processing and Genetics, having authored 130 papers that have together received 2.5k indexed citations. Recurring topics across this work include Biometric Identification and Security (21 papers), AI in cancer detection (18 papers), Dermatoglyphics and Human Traits (16 papers), Medical Image Segmentation Techniques (15 papers), Retinal Imaging and Analysis (13 papers), Video Surveillance and Tracking Methods (11 papers), Natural Language Processing Techniques (11 papers) and Radiomics and Machine Learning in Medical Imaging (11 papers). The work is most often cited by research in Signal Processing (771 citations), Computer Vision and Pattern Recognition (691 citations), Language and Linguistics (274 citations), Artificial Intelligence (839 citations) and Developmental and Educational Psychology (272 citations). Xiaoming Xi has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Yilong Yin, David M. Williamson, Gongping Yang, Klaus Zechner, Lu Yang, Derrick Higgins, F. Jay Breyer, Yilong Yin, Xiushan Nie and Xianjing Meng. Their work appears in journals such as IEEE Access, Language Testing, Neurocomputing, Language Assessment Quarterly and Science China Information Sciences.

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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