Wei Ke

1.3k citations
39 papers · 681 · h-index 12

Impact in

Papers in

    • Advanced Neural Network Applications 9
    • Advanced Image and Video Retrieval Techniques 8
    • Human Pose and Action Recognition 6
    • Video Surveillance and Tracking Methods 6
    • Medical Image Segmentation Techniques 3
    • Anomaly Detection Techniques and Applications 4
    • Domain Adaptation and Few-Shot Learning 4

Wei Ke

36 papers receiving 670 citations

Peers

Wei Ke
Comparison fields: 5 of 69
  • Computer Vision and Pattern Recognition 455
  • Ophthalmology 61
  • Media Technology 57
  • Radiology, Nuclear Medicine and Imaging 115
  • Artificial Intelligence 156
Replace Ruwan Tennakoon with:
Ruwan Tennakoon Australia
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Saurabh Maheshwari India
Yan Shuicheng Singapore
Yu-Huan Wu China
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Wei Ke relative to Ruwan Tennakoon Australia Ruwan Tennakoon's profile →
Citations per field
00.5×6.3×
Ruwan Tennakoon · 1×
Citations per year

Countries citing papers authored by Wei Ke

Since Specialization
Citations

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

Fields of papers citing papers by Wei Ke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019164
2 201775
3 201669
4 201455
5 202046
6 202229
7 202127
8 202427
9 201719
10 201719
11 202217
12 202313
13 202311
14 201511
15 20139
16 20199
17 20228
18 20198
19 20217
20 20096

About Wei Ke

Wei Ke is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Mechanics of Materials, Aerospace Engineering and Computational Mechanics, having authored 39 papers that have together received 681 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (9 papers), Advanced Image and Video Retrieval Techniques (8 papers), Human Pose and Action Recognition (6 papers), Video Surveillance and Tracking Methods (6 papers), Laser-induced spectroscopy and plasma (5 papers), Anomaly Detection Techniques and Applications (4 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Medical Image Segmentation Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (455 citations), Ophthalmology (61 citations), Media Technology (57 citations), Radiology, Nuclear Medicine and Imaging (115 citations) and Artificial Intelligence (156 citations). Wei Ke has collaborated with scholars based in China, Finland and Switzerland. Frequent co-authors include Qixiang Ye, Jianbin Jiao, Fang Wan, Chang Liu, Xiangyang Ji, Guoying Zhao, Qing Liu, Liguo Zhang, Xiaopeng Hong and Yihong Gong. Their work appears in journals such as Pattern Recognition, IEEE Transactions on Neural Networks and Learning Systems, Journal of Physics D Applied Physics, The Visual Computer and IEEE Transactions on Intelligent Transportation Systems.

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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