Kefei Liu

619 citations
31 papers · 448 indexed · h-index 12
Topics
Gene expression and cancer classification (15 papers)Bioinformatics and Genomic Networks (10 papers)Functional Brain Connectivity Studies (7 papers)

In The Last Decade

Kefei Liu

30 papers receiving 446 citations

Peers

Kefei Liu
Comparison fields: 5 of 69
  • Molecular Biology 249
  • Cognitive Neuroscience 137
  • Radiology, Nuclear Medicine and Imaging 90
  • Genetics 77
  • Artificial Intelligence 45
Replace Wenxing Hu with:
Wenxing Hu United States
Maria Vounou United Kingdom
Aristidis G. Vrahatis Greece
Maite García‐Sebastián Spain
Junning Li United States
Roman Filipovych United States
Claudio Stamile France
Yuhu Shi China
Siqi Liu China
Manish Bhattarai United States
Kefei Liu relative to Wenxing Hu United States Wenxing Hu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Kefei Liu

Since Specialization
Citations

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

Fields of papers citing papers by Kefei Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kefei Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Kefei Liu. A scholar is included among the top collaborators of Kefei Liu 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 Kefei Liu. Kefei Liu 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 2
2 4
3 4
4 7
5 19
6 18
7 2
8 65
9 2
10 1
11 11
12
Joint Exploration and Mining of Memory-Relevant Brain Anatomic and Connectomic Patterns via a Three-Way Association Model
2
13
A Study on Place Branding Strategy of Characteristic Agricultural Products in Xinjiang Based on Brand Ecosystem
3
14 12
15 3
16 5
17 11
18 2
19 4
20 1

About Kefei Liu

Kefei Liu is a scholar working on Computational Mathematics, Business and International Management and Statistics and Probability, having authored 31 papers that have together received 448 indexed citations. Recurring topics across this work include Gene expression and cancer classification (15 papers), Bioinformatics and Genomic Networks (10 papers) and Functional Brain Connectivity Studies (7 papers). The work is most often cited by research in Computational Mathematics (15 citations), Cognitive Neuroscience (137 citations) and Neurology (40 citations). Kefei Liu has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Li Shen, Andrew J. Saykin, Xiaohui Yao, Shannon L. Risacher, Lei Du, Lei Guo, Junwei Han, Jieping Ye, Lei Huang and Jingwen Yan. Their work appears in journals such as Bioinformatics, Inorganic Chemistry and IEEE Transactions on Medical Imaging.

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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