Kejun Wang

3.1k citations
108 papers · 2.5k · 3 hit papers · h-index 17

Impact in

Papers in

Kejun Wang

98 papers receiving 2.4k citations

Kejun Wang's Hit Papers

A comparison of day-ahead photovoltaic power forecasting models based on deep learning neural network 2019 · 461 citations
4610+4+9Years since publication100200300400

Peers

Kejun Wang
Comparison fields: 5 of 65
  • Signal Processing 328
  • Artificial Intelligence 725
  • Computer Vision and Pattern Recognition 387
  • Electrical and Electronic Engineering 345
  • Oceanography 43
Replace Philémon Brakel with:
Philémon Brakel Canada
Adrian G. Borş United Kingdom
Kurosh Madani France
Neil M. Robertson United Kingdom
Felix Albu Romania
Alessandro L. Koerich Brazil
Lijuan Sun China
Changick Kim South Korea
Hongzhi Zhang China
Kejun Wang relative to Philémon Brakel Canada Philémon Brakel's profile →
Citations per field
00.5×5×10×15×21.5×
Philémon Brakel · 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 108 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 →
2019461
2
Video-Based Abnormal Human Behavior Recognition—A Review
Hit paper breakdown →
2012405
3
Photovoltaic power forecasting based LSTM-Convolutional Network
Hit paper breakdown →
2019403
4 2018267
5 2006118
6 200668
7 200567
8 201852
9 202146
10 202244
11 201536
12 201133
13 201531
14 201227
15 202022
16 201819
17 202217
18 201315
19 201113
20 202113

About Kejun Wang

Kejun Wang is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Biomedical Engineering, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 108 papers that have together received 2.5k indexed citations. Recurring topics across this work include Biometric Identification and Security (18 papers), Gait Recognition and Analysis (11 papers), Video Surveillance and Tracking Methods (9 papers), Face and Expression Recognition (9 papers), Neural Networks and Applications (3 papers), Human Pose and Action Recognition (3 papers), Emotion and Mood Recognition (3 papers) and Solar Radiation and Photovoltaics (2 papers). The work is most often cited by research in Signal Processing (328 citations), Artificial Intelligence (725 citations), Computer Vision and Pattern Recognition (387 citations), Electrical and Electronic Engineering (345 citations) and Oceanography (43 citations). Kejun Wang has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Xiaoxia Qi, Hongda Liu, Oluwatoyin P. Popoola, Xianglei Xing, Yuhang Ding, Meichen Liu, Xiufen Ye, Yan Zhang, Chenhui Wang and Xianye Ben. Their work appears in journals such as Applied Intelligence, Neurocomputing, IEEE Signal Processing Letters, Energy 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.

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