Lei Ke
Impact in
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- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
- Video Analysis and Summarization
- Advanced Image and Video Retrieval Techniques
- Geology top 5%
Papers in
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- Advanced Image and Video Retrieval Techniques 3
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- Structural Load-Bearing Analysis 5
- Infrastructure Maintenance and Monitoring 3
- Co-authors
- Yu‐Wing Tai (5 shared papers)Chi–Keung Tang (3 shared papers)Xiaoyong Shen (2 shared papers)Wenjie Pei (2 shared papers)Wei Lv (4 shared papers)Feiyu Kang (4 shared papers)Quan‐Hong Yang (4 shared papers)Yan‐Bing He (3 shared papers)
- Journals
- Carbon (3 papers)Journal of Computing in Civil Engineering (3 papers)Symmetry (2 papers)Photonics (1 paper)Steel and Composite Structures (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Lei Ke
30 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 100
- Computer Vision and Pattern Recognition 374
- Geology 71
- Electronic, Optical and Magnetic Materials 189
- Building and Construction 109
- Automotive Engineering 90
Countries citing papers authored by Lei Ke
This map shows the geographic impact of Lei 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 Lei Ke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Ke more than expected).
Fields of papers citing papers by Lei Ke
This network shows the impact of papers produced by Lei 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 Lei Ke. The network helps show where Lei Ke may publish in the future.
Co-authors
The 25 scholars most cited alongside Lei Ke, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 165 | |
| 2 | 2014 | 154 | |
| 3 | 2021 | 128 | |
| 4 | 2016 | 88 | |
| 5 | 2020 | 87 | |
| 6 | 2019 | 78 | |
| 7 | 2014 | 70 | |
| 8 | 2020 | 50 | |
| 9 | 2015 | 43 | |
| 10 | 2020 | 30 | |
| 11 | 2023 | 28 | |
| 12 | 2022 | 25 | |
| 13 | 2023 | 21 | |
| 14 | 2023 | 17 | |
| 15 | 2024 | 17 | |
| 16 | 2021 | 11 | |
| 17 | 2024 | 9 | |
| 18 | 2024 | 8 | |
| 19 | 2025 | 8 | |
| 20 | 2017 | 8 |
About Lei Ke
Lei Ke is a scholar working on Computer Vision and Pattern Recognition, Civil and Structural Engineering, Building and Construction, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering, having authored 35 papers that have together received 1.1k indexed citations. Recurring topics across this work include Structural Load-Bearing Analysis (5 papers), 3D Surveying and Cultural Heritage (3 papers), Advancements in Battery Materials (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Infrastructure Maintenance and Monitoring (3 papers), Structural Behavior of Reinforced Concrete (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Advanced Battery Materials and Technologies (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (374 citations), Geology (71 citations), Electronic, Optical and Magnetic Materials (189 citations), Building and Construction (109 citations) and Automotive Engineering (90 citations). Lei Ke has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yu‐Wing Tai, Chi–Keung Tang, Xiaoyong Shen, Wenjie Pei, Wei Lv, Feiyu Kang, Quan‐Hong Yang, Yan‐Bing He, Baohua Li and Xiangrong Wang. Their work appears in journals such as Carbon, Journal of Computing in Civil Engineering, Symmetry, Photonics and Steel and Composite Structures.
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.