Kejun Wang

3.3k total citations · 3 hit papers
102 papers, 2.3k citations indexed

About

Kejun Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Kejun Wang has authored 102 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computer Vision and Pattern Recognition, 28 papers in Artificial Intelligence and 19 papers in Biomedical Engineering. Recurrent topics in Kejun Wang's work include Video Surveillance and Tracking Methods (18 papers), Human Pose and Action Recognition (17 papers) and Gait Recognition and Analysis (17 papers). Kejun Wang is often cited by papers focused on Video Surveillance and Tracking Methods (18 papers), Human Pose and Action Recognition (17 papers) and Gait Recognition and Analysis (17 papers). Kejun Wang collaborates with scholars based in China, United States and Singapore. Kejun Wang's co-authors include Hongda Liu, Xiaoxia Qi, Oluwatoyin P. Popoola, Xianglei Xing, Xiufen Ye, Yuhang Ding, Meichen Liu, Dongmei Xu, Jing Qiao and Bin Li and has published in prestigious journals such as PLoS ONE, Journal of Materials Chemistry A and Applied Energy.

In The Last Decade

Kejun Wang

91 papers receiving 2.2k citations

Hit Papers

A comparison of day-ahead photovoltaic powe... 2012 2026 2016 2021 2019 2019 2012 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A comparison of day-ahead photovoltaic power forecasting models based on deep learning neural network
    2019 418 citations Kejun Wang et al. profile →
  2. Photovoltaic power forecasting based LSTM-Convolutional Network
    2019 363 citations Kejun Wang et al. profile →
  3. Video-Based Abnormal Human Behavior Recognition—A Review
    2012 351 citations Kejun Wang et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kejun Wang China 18 1.1k 920 771 397 323 102 2.3k
Yonghang Tai China 22 777 0.7× 695 0.8× 179 0.2× 426 1.1× 179 0.6× 97 1.9k
Massimo Panella Italy 25 983 0.9× 719 0.8× 320 0.4× 139 0.4× 141 0.4× 146 2.2k
Meng Zhang China 28 867 0.8× 922 1.0× 580 0.8× 105 0.3× 162 0.5× 157 2.7k
Anurag Singh India 21 493 0.5× 606 0.7× 450 0.6× 519 1.3× 417 1.3× 120 2.2k
Lina Stanković United Kingdom 25 395 0.4× 2.0k 2.2× 361 0.5× 326 0.8× 194 0.6× 145 2.9k
Meiling Xu China 21 701 0.6× 509 0.6× 274 0.4× 76 0.2× 138 0.4× 45 1.5k
Ömer Nezih Gerek Türkiye 23 347 0.3× 717 0.8× 552 0.7× 177 0.4× 160 0.5× 108 1.6k
Na Dong China 22 454 0.4× 274 0.3× 314 0.4× 98 0.2× 66 0.2× 128 1.9k
Ana M. Bernardos Spain 19 375 0.3× 489 0.5× 436 0.6× 253 0.6× 80 0.2× 120 1.5k

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-authorship network of co-authors of Kejun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Kejun Wang. A scholar is included among the top collaborators of Kejun Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kejun Wang. Kejun Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zheng, Qi‐Tai, Tian Wang, Jia Xue, et al.. (2025). The anti-inflammatory effects of saponins from natural herbs. Pharmacology & Therapeutics. 269. 108827–108827. 2 indexed citations
2.
Wang, Kejun, et al.. (2025). Super-resolution synthetic MRI using deep learning reconstruction for accurate diagnosis of knee osteoarthritis. Insights into Imaging. 16(1). 44–44. 1 indexed citations
3.
Wang, Kejun, et al.. (2025). One-pot synthesis of a magnetic polypyrrole aerogel with 1D/2D hybrid nanostructures for microwave absorption. Journal of Materials Chemistry A. 13(16). 11617–11624.
4.
Liu, Meichen, et al.. (2024). Design of gene sequencing fluorescence microscopic system with dual-band LED illumination. Optics and Precision Engineering. 32(16). 2455–2463.
5.
Shen, Jiangrong, Kejun Wang, Wei Gao, et al.. (2024). Temporal spiking generative adversarial networks for heading direction decoding. Neural Networks. 184. 106975–106975. 1 indexed citations
6.
Du, Shan, et al.. (2023). Spatiotemporal multi-scale bilateral motion network for gait recognition. The Journal of Supercomputing. 80(3). 3412–3440. 1 indexed citations
7.
Liu, Meichen, Kejun Wang, Ruihang Ji, Shuzhi Sam Ge, & Jing Chen. (2021). Pose transfer generation with semantic parsing attention network for person re-identification. Knowledge-Based Systems. 223. 107024–107024. 13 indexed citations
8.
Li, Bin, Fenglong Wang, Kejun Wang, et al.. (2021). Metal sulfides based composites as promising efficient microwave absorption materials: A review. Journal of Material Science and Technology. 104. 244–268. 134 indexed citations
9.
Wang, Kejun, Xin Duan, Feng Gao, et al.. (2018). Dissecting cancer heterogeneity based on dimension reduction of transcriptomic profiles using extreme learning machines. PLoS ONE. 13(9). e0203824–e0203824. 15 indexed citations
10.
Wang, Kejun, et al.. (2013). Illumination compensation method for face image based on improved gamma correction. Chinese Control Conference. 3733–3737. 2 indexed citations
11.
Wang, Kejun. (2012). Gait recognition based on Trace transform. Journal of Jilin University. 1 indexed citations
12.
Wang, Kejun. (2012). A region of interest extraction method using rotation rectified finger vein images. Caai Transactions on Intelligent Systems. 4 indexed citations
13.
Wang, Jian, et al.. (2012). Tensor gait recognition algorithm based on linear interpolation. Jisuanji yingyong yanjiu. 29(1). 355–358. 1 indexed citations
14.
Wang, Kejun, et al.. (2011). Research on dual-modal second-level decision fusion for fingerprint and finger vein recognition. 26(8). 1131–1135. 2 indexed citations
15.
Wang, Kejun, et al.. (2010). Ant-based clustering of visual-words for unsupervised human action recognition. 654–659. 4 indexed citations
16.
Wang, Kejun, et al.. (2010). Bi-directional weighted modular B2DPCA for finger vein recognition. 2010 3rd International Congress on Image and Signal Processing. 22. 93–97. 9 indexed citations
17.
Wang, Kejun. (2009). An improved GM-AR model for a micromechanical gyroscope's nonstationary random signals. Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University. 2 indexed citations
18.
Wang, Kejun. (2005). A STUDY OF HAND VEIN-BASED IDENTITY AUTHENTICATION METHOD. Keji daobao. 8 indexed citations
19.
Wang, Kejun, et al.. (2005). Rearch of URWEIDSS based on agent. Journal of Naval University of Engineering.
20.
Wang, Kejun, et al.. (2002). Methods of eliminating flat phenomenon during BP working. 1. 453–457.

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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