Xiaoming Liu

7.0k citations
321 papers · 4.4k · h-index 37

Impact in

Papers in

Xiaoming Liu

304 papers receiving 4.2k citations

Peers

Xiaoming Liu
Comparison fields: 5 of 195
  • Computer Vision and Pattern Recognition 1.5k
  • Radiology, Nuclear Medicine and Imaging 743
  • Media Technology 309
  • Artificial Intelligence 975
  • Ophthalmology 202
Replace Xiaowei Hu with:
Xiaowei Hu China
Jennifer Dy United States
Li Zhang China
Yanping Huang China
Tao Li China
D. Jude Hemanth India
Verónica Bolón‐Canedo Spain
Habib Hamam Canada
Adel Elmaghraby United States
Lipo Wang Singapore
Xiaoming Liu relative to Xiaowei Hu China Xiaowei Hu's profile →
Citations per field
00.5×2.9×
Xiaowei Hu · 1×
Citations per year

Countries citing papers authored by Xiaoming Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoming Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 321 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013143
2 2018125
3 2021112
4 2007105
5 200998
6 200592
7 200388
8 202086
9 201479
10 201578
11 201477
12 199971
13 201970
14 200270
15 201966
16 201566
17 200964
18 200963
19 201863
20 198962

About Xiaoming Liu

Xiaoming Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Networks and Communications, having authored 321 papers that have together received 4.4k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (36 papers), Optical Coherence Tomography Applications (26 papers), AI in cancer detection (24 papers), Digital Imaging for Blood Diseases (20 papers), Face and Expression Recognition (18 papers), Image Retrieval and Classification Techniques (18 papers), Image and Signal Denoising Methods (16 papers) and Video Surveillance and Tracking Methods (15 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.5k citations), Radiology, Nuclear Medicine and Imaging (743 citations), Media Technology (309 citations), Artificial Intelligence (975 citations) and Ophthalmology (202 citations). Xiaoming Liu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jinshan Tang, Wei Hu, Zhifang Pan, Tsuhan Chen, Zhiyuan Xu, C.A. Kilner, Malcolm A. Halcrow, Zhigang Zeng, Kai Zhang and Jun Cao. Their work appears in journals such as IEEE Access, Computers in Biology and Medicine, Pattern Recognition, Biomedical Signal Processing and Control and Acta Metallurgica Sinica (English Letters).

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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