Ke Lv
Impact in
- Media Technology top 5%
- Remote-Sensing Image Classification
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- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Medical Image Segmentation Techniques
Papers in
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- Advanced Neural Network Applications 8
- Advanced Image and Video Retrieval Techniques 5
-
- Electric Motor Design and Analysis 7
- Co-authors
- Bin Luo (7 shared papers)Weiqiang Wang (6 shared papers)Lianlei Shan (5 shared papers)Si-Bao Chen (4 shared papers)Jikai Si (7 shared papers)Caixia Gao (7 shared papers)Haichao Feng (4 shared papers)Jin Tang (2 shared papers)
- Journals
- Electronics (3 papers)IEEE Transactions on Geoscience and Remote Sensing (3 papers)IET Electric Power Applications (3 papers)IEEE Access (3 papers)Multimedia Tools and Applications (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ke Lv
79 papers receiving 608 citations
Peers
Comparison fields: 5 of 125
- Media Technology 75
- Computer Vision and Pattern Recognition 179
- Nuclear Energy and Engineering 2
- Computer Graphics and Computer-Aided Design 13
- Artificial Intelligence 114
Countries citing papers authored by Ke Lv
This map shows the geographic impact of Ke Lv'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 Ke Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Lv more than expected).
Fields of papers citing papers by Ke Lv
This network shows the impact of papers produced by Ke Lv. 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 Ke Lv. The network helps show where Ke Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Ke Lv, 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 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 48 | |
| 2 | 2022 | 44 | |
| 3 | 2023 | 36 | |
| 4 | 2021 | 33 | |
| 5 | 2014 | 30 | |
| 6 | 2018 | 28 | |
| 7 | 2020 | 26 | |
| 8 | 2023 | 25 | |
| 9 | 2021 | 22 | |
| 10 | 2021 | 20 | |
| 11 | 2021 | 17 | |
| 12 | 2015 | 16 | |
| 13 | 2024 | 15 | |
| 14 | 2021 | 14 | |
| 15 | 2024 | 13 | |
| 16 | 2019 | 13 | |
| 17 | 2021 | 13 | |
| 18 | 2022 | 11 | |
| 19 | 2022 | 11 | |
| 20 | 2023 | 11 |
About Ke Lv
Ke Lv is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Artificial Intelligence, Control and Systems Engineering and Computational Mechanics, having authored 92 papers that have together received 633 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (8 papers), Electric Motor Design and Analysis (7 papers), Advanced Image and Video Retrieval Techniques (5 papers), Advanced Numerical Analysis Techniques (5 papers), Machine Fault Diagnosis Techniques (5 papers), Computer Graphics and Visualization Techniques (5 papers), 3D Shape Modeling and Analysis (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). The work is most often cited by research in Media Technology (75 citations), Computer Vision and Pattern Recognition (179 citations), Nuclear Energy and Engineering (2 citations), Computer Graphics and Computer-Aided Design (13 citations) and Artificial Intelligence (114 citations). Ke Lv has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Bin Luo, Weiqiang Wang, Lianlei Shan, Si-Bao Chen, Jikai Si, Caixia Gao, Haichao Feng, Jin Tang, Hongping Yan and Lingfeng Wang. Their work appears in journals such as Electronics, IEEE Transactions on Geoscience and Remote Sensing, IET Electric Power Applications, IEEE Access and Multimedia Tools and Applications.
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.