Kejun Wang
Impact in
-
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Signal Processing top 2%
- Biometric Identification and Security
Papers in
-
- Video Surveillance and Tracking Methods 20
- Face and Expression Recognition 18
- Human Pose and Action Recognition 16
- Face recognition and analysis 14
-
- Neural Networks and Applications 12
- Co-authors
- Hongda Liu (3 shared papers)Xiaoxia Qi (3 shared papers)Oluwatoyin P. Popoola (2 shared papers)Xianglei Xing (13 shared papers)Yuhang Ding (1 shared paper)Meichen Liu (8 shared papers)Xiufen Ye (6 shared papers)Yan Zhang (1 shared paper)
- Journals
- Applied Intelligence (4 papers)Neurocomputing (4 papers)Energy (2 papers)IEEE Signal Processing Letters (2 papers)Neural Computing and Applications (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Kejun Wang
99 papers receiving 2.5k citations
Kejun Wang's Hit Papers
Peers
Comparison fields: 5 of 135
- Computer Vision and Pattern Recognition 838
- Signal Processing 409
- Artificial Intelligence 1.2k
- Renewable Energy, Sustainability and the Environment 411
- Energy Engineering and Power Technology 69
Countries citing papers authored by Kejun Wang
This map shows the geographic impact of Kejun Wang'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 Kejun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kejun Wang more than expected).
Fields of papers citing papers by Kejun Wang
This network shows the impact of papers produced by Kejun Wang. 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 Kejun Wang. The network helps show where Kejun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kejun Wang, 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 109 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A comparison of day-ahead photovoltaic power forecasting models based on deep learning neural network Hit paper breakdown → | 2019 | 446 |
| 2 | Video-Based Abnormal Human Behavior Recognition—A Review Hit paper breakdown → | 2012 | 396 |
| 3 | Photovoltaic power forecasting based LSTM-Convolutional Network Hit paper breakdown → | 2019 | 386 |
| 4 | 2018 | 257 | |
| 5 | 2021 | 144 | |
| 6 | 2006 | 117 | |
| 7 | 2006 | 69 | |
| 8 | 2005 | 68 | |
| 9 | 2018 | 54 | |
| 10 | 2021 | 43 | |
| 11 | 2022 | 38 | |
| 12 | 2015 | 36 | |
| 13 | 2011 | 32 | |
| 14 | 2015 | 30 | |
| 15 | 2012 | 27 | |
| 16 | 2020 | 20 | |
| 17 | 2018 | 17 | |
| 18 | 2013 | 15 | |
| 19 | 2021 | 13 | |
| 20 | 2011 | 13 |
About Kejun Wang
Kejun Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Biomedical Engineering and Control and Systems Engineering, having authored 109 papers that have together received 2.6k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (20 papers), Gait Recognition and Analysis (19 papers), Face and Expression Recognition (18 papers), Biometric Identification and Security (18 papers), Human Pose and Action Recognition (16 papers), Face recognition and analysis (14 papers), Neural Networks and Applications (12 papers) and Advanced Algorithms and Applications (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (838 citations), Signal Processing (409 citations), Artificial Intelligence (1.2k citations), Renewable Energy, Sustainability and the Environment (411 citations) and Energy Engineering and Power Technology (69 citations). Kejun Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Hongda Liu, Xiaoxia Qi, Oluwatoyin P. Popoola, Xianglei Xing, Yuhang Ding, Meichen Liu, Xiufen Ye, Yan Zhang, Xue Zhang and Yunfei Yang. Their work appears in journals such as Applied Intelligence, Neurocomputing, Energy, IEEE Signal Processing Letters and Neural Computing 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.