Zhentai Lu

962 citations
51 papers · 588 indexed · h-index 14
Topics
Medical Image Segmentation Techniques (30 papers)Image Retrieval and Classification Techniques (16 papers)Advanced Image and Video Retrieval Techniques (12 papers)
Partner nations
ChinaHong KongIraq

In The Last Decade

Zhentai Lu

49 papers receiving 577 citations

Peers

Zhentai Lu
Comparison fields: 5 of 85
  • Computer Vision and Pattern Recognition 316
  • Radiology, Nuclear Medicine and Imaging 258
  • Artificial Intelligence 157
  • Neurology 121
  • Biomedical Engineering 100
Replace Alessandro Crimi with:
Alessandro Crimi Switzerland
Junyu Chen United States
Tassilo Klein Germany
Shuanglang Feng China
Amal Farag United States
Stephen Chang Singapore
Seyed Sadegh Mohseni Salehi United States
Klaus D. Toennies Germany
Shanhui Sun United States
Tom Brosch Germany
Zhentai Lu relative to Alessandro Crimi Switzerland Alessandro Crimi's profile →
Citations per field
00.5×1.5×2.3×
Alessandro Crimi · 1×
Citations per year

Countries citing papers authored by Zhentai Lu

Since Specialization
Citations

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

Fields of papers citing papers by Zhentai Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhentai Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhentai Lu. A scholar is included among the top collaborators of Zhentai Lu 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 Zhentai Lu. Zhentai Lu 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 0
3 4
4 24
5 2
6 5
7 14
8 14
9 81
10 16
11 2
12 31
13 27
14 7
15 10
16 60
17 39
18 2
19 6
20 3

About Zhentai Lu

Zhentai Lu is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 51 papers that have together received 588 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (30 papers), Image Retrieval and Classification Techniques (16 papers) and Advanced Image and Video Retrieval Techniques (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (316 citations), Neurology (121 citations) and Radiology, Nuclear Medicine and Imaging (258 citations). Zhentai Lu has collaborated with scholars based in China, Hong Kong and Iraq. Frequent co-authors include Wufan Chen, Qianjin Feng, Wei Yang, Meiyan Huang, Liming Zhong, Mei Yu, Yunbi Liu, Liyan Lin, Genggeng Qin and Mei Yu. Their work appears in journals such as PLoS ONE, Scientific Reports 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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