Zhengfeng Lai

404 citations
19 papers · 260 indexed · h-index 8
Topics
AI in cancer detection (7 papers)Domain Adaptation and Few-Shot Learning (5 papers)Medical Image Segmentation Techniques (4 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE AccessFrontiers in Plant Science

In The Last Decade

Zhengfeng Lai

18 papers receiving 259 citations

Peers

Zhengfeng Lai
Comparison fields: 5 of 61
  • Biomedical Engineering 105
  • Artificial Intelligence 77
  • Mechanics of Materials 62
  • Radiology, Nuclear Medicine and Imaging 48
  • Computer Vision and Pattern Recognition 47
Replace Gyuwon Kim with:
Gyuwon Kim South Korea
Clarence Augustine TH Tee Malaysia
Fabrice Mériaudeau France
Antoine Boniface Switzerland
Tim Dahmen Germany
S. Sivaramakrishnan United States
Ningyi Zhang China
D. Raja India
Darren Thompson Australia
Manas Sangworasil Thailand
Zhengfeng Lai relative to Gyuwon Kim South Korea Gyuwon Kim's profile →
Citations per field
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Gyuwon Kim · 1×
Citations per year

Countries citing papers authored by Zhengfeng Lai

Since Specialization
Citations

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

Fields of papers citing papers by Zhengfeng Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhengfeng Lai

This figure shows the co-authorship network connecting the top 25 collaborators of Zhengfeng Lai. A scholar is included among the top collaborators of Zhengfeng Lai 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 Zhengfeng Lai. Zhengfeng Lai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 0
2 1
3 3
4 1
5 4
6 5
7 1
8 14
9 10
10 23
11 11
12 5
13 11
14 14
15 25
16 2
17 3
18 4
19 123

About Zhengfeng Lai

Zhengfeng Lai is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Artificial Intelligence, having authored 19 papers that have together received 260 indexed citations. Recurring topics across this work include AI in cancer detection (7 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Medical Image Segmentation Techniques (4 papers). The work is most often cited by research in Surfaces, Coatings and Films (28 citations), Mechanics of Materials (62 citations) and Artificial Intelligence (77 citations). Zhengfeng Lai has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Jiaming Wu, Jizhou Song, Changhong Linghu, Chengjun Wang, Chen‐Nee Chuah, Brittany N. Dugger, Sen-ching S. Cheung, Chao Wang, Ning Zhou and Jun Wu. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Frontiers in Plant Science.

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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