Kun Hu

1.6k total citations
71 papers, 1.1k citations indexed

About

Kun Hu is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Kun Hu has authored 71 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 17 papers in Biomedical Engineering and 15 papers in Artificial Intelligence. Recurrent topics in Kun Hu's work include Human Pose and Action Recognition (10 papers), Gait Recognition and Analysis (7 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Kun Hu is often cited by papers focused on Human Pose and Action Recognition (10 papers), Gait Recognition and Analysis (7 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Kun Hu collaborates with scholars based in China, Australia and United States. Kun Hu's co-authors include Zhiyong Wang, Michael Walsh, Guy Coleman, Kaylena A. Ehgoetz Martens, Simon J.G. Lewis, Pinghua Zhu, Guoqing Zhou, Dagan Feng, Zhimin He and Jun Zhang and has published in prestigious journals such as Scientific Reports, Chemical Engineering Journal and IEEE Transactions on Image Processing.

In The Last Decade

Kun Hu

63 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kun Hu China 19 305 158 150 145 105 71 1.1k
Liqing Chen China 24 213 0.7× 428 2.7× 126 0.8× 309 2.1× 13 0.1× 162 1.8k
Yang Gao China 19 168 0.6× 51 0.3× 223 1.5× 45 0.3× 29 0.3× 121 1.1k
Zhou Yang China 26 241 0.8× 752 4.8× 224 1.5× 167 1.2× 66 0.6× 109 1.9k
Ryô Hasegawa Japan 17 246 0.8× 169 1.1× 58 0.4× 142 1.0× 21 0.2× 68 1.2k
Ke Ma China 17 159 0.5× 61 0.4× 202 1.3× 45 0.3× 10 0.1× 86 895
Egidio De Benedetto Italy 29 601 2.0× 42 0.3× 70 0.5× 331 2.3× 10 0.1× 136 2.1k
Nguyen Truong Thinh Vietnam 13 125 0.4× 171 1.1× 154 1.0× 38 0.3× 10 0.1× 101 721
Jing Guo China 17 304 1.0× 54 0.3× 265 1.8× 24 0.2× 7 0.1× 141 1.2k
Hongjie Ma China 22 177 0.6× 17 0.1× 131 0.9× 15 0.1× 19 0.2× 64 1.4k
Weiguang Li China 17 250 0.8× 39 0.2× 109 0.7× 56 0.4× 5 0.0× 107 869

Countries citing papers authored by Kun Hu

Since Specialization
Citations

This map shows the geographic impact of Kun Hu'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 Kun Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Hu more than expected).

Fields of papers citing papers by Kun Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kun Hu. 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 Kun Hu. The network helps show where Kun Hu may publish in the future.

Co-authorship network of co-authors of Kun Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Hu. A scholar is included among the top collaborators of Kun Hu 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 Kun Hu. Kun Hu 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.
Hu, Kun, Fengxiang He, Adam Schembri, & Zhiyong Wang. (2025). Graph traverse reference network for sign language corpus retrieval in the wild. Neurocomputing. 637. 130077–130077. 1 indexed citations
2.
Cui, Jing, et al.. (2024). MLC-DKT: A multi-layer context-aware deep knowledge tracing model. Knowledge-Based Systems. 303. 112384–112384. 2 indexed citations
3.
Yang, Dezhi, Wenwen Wang, Kun Hu, et al.. (2024). Recent advances in pharmaceutical cocrystals of theophylline. Natural Products and Bioprospecting. 14(1). 53–53. 6 indexed citations
4.
Hu, Kun, et al.. (2024). Terrain Diffusion Network: Climatic-Aware Terrain Generation with Geological Sketch Guidance. Proceedings of the AAAI Conference on Artificial Intelligence. 38(11). 12565–12573. 2 indexed citations
5.
Hu, Kun, et al.. (2024). Siamese Biattention Pooling Network for Change Detection in Remote Sensing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 7278–7291. 1 indexed citations
6.
Hu, Kun, et al.. (2024). Bridging the Gap: Sketch-Aware Interpolation Network for High-Quality Animation Sketch Inbetweening. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 10287–10295. 1 indexed citations
7.
8.
Zhu, Xiaogang, et al.. (2024). SITransformer: Shared Information-Guided Transformer for Extreme Multimodal Summarization. 1–7. 2 indexed citations
9.
Hu, Kun, Zhiyong Wang, Guy Coleman, et al.. (2023). Deep learning techniques for in-crop weed recognition in large-scale grain production systems: a review. Precision Agriculture. 25(1). 1–29. 30 indexed citations
10.
Johansson, Dorota, et al.. (2023). Evaluation of A Computer-Aided Detection Software for Prostate Cancer Prediction: Excellent Diagnostic Accuracy Independent of Preanalytical Factors. Laboratory Investigation. 103(12). 100257–100257. 2 indexed citations
11.
Kang, Xiaofeng, Kun Hu, & Li Ran. (2023). Acoustic Emission Recognition Based on a Three-Streams Neural Network with Attention. Computer Systems Science and Engineering. 46(3). 2963–2974. 3 indexed citations
12.
Hu, Kun, Shaohui Mei, Wei Wang, et al.. (2023). Multi-Level Adversarial Spatio-Temporal Learning for Footstep Pressure Based FoG Detection. IEEE Journal of Biomedical and Health Informatics. 27(8). 4166–4177. 7 indexed citations
13.
Hu, Kun, Kaylena A. Ehgoetz Martens, Markus Hagenbuchner, et al.. (2023). Higher Order Polynomial Transformer for Fine-Grained Freezing of Gait Detection. IEEE Transactions on Neural Networks and Learning Systems. 35(9). 12746–12759. 14 indexed citations
14.
Coleman, Guy, Asher Bender, Kun Hu, et al.. (2022). Weed detection to weed recognition: reviewing 50 years of research to identify constraints and opportunities for large-scale cropping systems. Weed Technology. 36(6). 741–757. 35 indexed citations
15.
Chang, Chao, et al.. (2022). Multi-Information Preprocessing Event Extraction With BiLSTM-CRF Attention for Academic Knowledge Graph Construction. IEEE Transactions on Computational Social Systems. 10(5). 2713–2724. 18 indexed citations
16.
Hu, Kun, Zhiyong Wang, Kaylena A. Ehgoetz Martens, et al.. (2021). Graph Fusion Network-Based Multimodal Learning for Freezing of Gait Detection. IEEE Transactions on Neural Networks and Learning Systems. 34(3). 1588–1600. 30 indexed citations
17.
Mo, Lixin, Jing Zhao, Zhicheng Sun, et al.. (2021). Full printed flexible pressure sensor based on microcapsule controllable structure and composite dielectrics. Flexible and Printed Electronics. 6(1). 14001–14001. 20 indexed citations
18.
Hu, Kun, Zhiyong Wang, Wei Wang, et al.. (2019). Graph Sequence Recurrent Neural Network for Vision-Based Freezing of Gait Detection. IEEE Transactions on Image Processing. 29. 1890–1901. 59 indexed citations
19.
Hu, Kun, Zhiyong Wang, Shaohui Mei, et al.. (2019). Vision-Based Freezing of Gait Detection With Anatomic Directed Graph Representation. IEEE Journal of Biomedical and Health Informatics. 24(4). 1215–1225. 65 indexed citations
20.
Hu, Kun. (2004). The Model and Algorithm for Joint Optimization of Inventory Matching and Production Planning in Steel Plant. Information and Computation. 2 indexed citations

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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