Kejun Wang

3.2k citations
93 papers · 2.3k · 3 hit papers · h-index 16

Impact in

Papers in

Kejun Wang

82 papers receiving 2.2k citations

Kejun Wang's Hit Papers

Photovoltaic power forecasting based LSTM-Convolutional Network 2019 · 378 citations
3780+4+9Years since publication100200300400

Peers

Kejun Wang
Comparison fields: 5 of 132
  • Computer Vision and Pattern Recognition 727
  • Artificial Intelligence 1.1k
  • Signal Processing 303
  • Renewable Energy, Sustainability and the Environment 400
  • Energy Engineering and Power Technology 66
Replace Ömer Nezih Gerek with:
Ömer Nezih Gerek Türkiye
Yonghang Tai China
Massimo Panella Italy
Anurag Singh India
Sungshin Kim South Korea
Na Dong China
Muhammad Tariq Pakistan
Shabana Urooj India
Mohamed Abid Tunisia
Ana M. Bernardos Spain
Kejun Wang relative to Ömer Nezih Gerek Türkiye Ömer Nezih Gerek's profile →
Citations per field
00.5×10×13.5×
Ömer Nezih Gerek · 1×
Citations per year

Countries citing papers authored by Kejun Wang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Kejun Wang Line = papers co-authored together Kejun Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 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 →
2019430
2
Photovoltaic power forecasting based LSTM-Convolutional Network
Hit paper breakdown →
2019378
3
Video-Based Abnormal Human Behavior Recognition—A Review
Hit paper breakdown →
2012351
4 2018253
5 2021143
6 200692
7 200565
8 200653
9 201852
10 202141
11 202238
12 201535
13 201528
14 201224
15 202020
16 201815
17 202113
18 202212
19 202112
20 201111

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 93 papers that have together received 2.3k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (17 papers), Gait Recognition and Analysis (16 papers), Human Pose and Action Recognition (15 papers), Face and Expression Recognition (13 papers), Biometric Identification and Security (13 papers), Neural Networks and Applications (12 papers), Face recognition and analysis (8 papers) and Advanced Algorithms and Applications (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (727 citations), Artificial Intelligence (1.1k citations), Signal Processing (303 citations), Renewable Energy, Sustainability and the Environment (400 citations) and Energy Engineering and Power Technology (66 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, Xiufen Ye, Meichen Liu, Xue Zhang, Jiurong Liu and Jing Qiao. Their work appears in journals such as Applied Intelligence, Neurocomputing, IEEE Signal Processing Letters, Neural Computing and Applications and Energy.

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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