Hongkun Wu

619 total citations · 1 hit paper
14 papers, 471 citations indexed

About

Hongkun Wu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Hongkun Wu has authored 14 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 4 papers in Media Technology and 2 papers in Artificial Intelligence. Recurrent topics in Hongkun Wu's work include Image Enhancement Techniques (6 papers), Advanced Image Processing Techniques (5 papers) and Advanced Image Fusion Techniques (4 papers). Hongkun Wu is often cited by papers focused on Image Enhancement Techniques (6 papers), Advanced Image Processing Techniques (5 papers) and Advanced Image Fusion Techniques (4 papers). Hongkun Wu collaborates with scholars based in Australia, China and United Kingdom. Hongkun Wu's co-authors include Ngaiming Kwok, Yeping Peng, Xingjian Jing, Shilong Liu, Haiyan Shi, Ruowei Li, Md Arifur Rahman, Mark Whitty, Xuesong Li and Paul R. Petrie and has published in prestigious journals such as IEEE Access, Remote Sensing and Mechanical Systems and Signal Processing.

In The Last Decade

Hongkun Wu

14 papers receiving 462 citations

Hit Papers

Damage detection techniqu... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hongkun Wu Australia 6 168 120 118 103 87 14 471
Dawei Li China 11 145 0.9× 81 0.7× 182 1.5× 179 1.7× 29 0.3× 46 662
Zhong Yang China 11 132 0.8× 158 1.3× 93 0.8× 173 1.7× 14 0.2× 62 573
Zongwei Yao China 12 139 0.8× 77 0.6× 197 1.7× 74 0.7× 18 0.2× 37 417
Jacek Wodecki Poland 18 184 1.1× 397 3.3× 463 3.9× 73 0.7× 127 1.5× 68 845
De Chen China 13 289 1.7× 77 0.6× 92 0.8× 100 1.0× 37 0.4× 41 543
Jarosław Szrek Poland 10 39 0.2× 105 0.9× 213 1.8× 83 0.8× 36 0.4× 30 436
Ren Ying China 10 184 1.1× 63 0.5× 142 1.2× 168 1.6× 87 1.0× 46 486
Guangxin Li China 13 90 0.5× 83 0.7× 43 0.4× 168 1.6× 26 0.3× 43 509

Countries citing papers authored by Hongkun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Hongkun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongkun Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Hongkun Wu. A scholar is included among the top collaborators of Hongkun Wu 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 Hongkun Wu. Hongkun Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Peng, Yeping, et al.. (2023). Point Cloud Registration Based on Fast Point Feature Histogram Descriptors for 3D Reconstruction of Trees. Remote Sensing. 15(15). 3775–3775. 13 indexed citations
2.
Du, Ying, Hongkun Wu, & David García Cava. (2023). A motion-blurred restoration method for surface damage detection of wind turbine blades. Measurement. 217. 113031–113031. 5 indexed citations
3.
Li, Ruowei, Yeping Peng, Haiyan Shi, et al.. (2019). First-Order Difference Bare Bones Particle Swarm Optimizer. IEEE Access. 7. 132472–132491. 4 indexed citations
4.
Kwok, Ngaiming, et al.. (2019). Detection of Imaged Objects with Estimated Scales. 39–47. 4 indexed citations
5.
Peng, Yeping, et al.. (2019). An Optimum Shift-and-Weighted brightness mapping for low-illumination image restoration. The Imaging Science Journal. 67(4). 187–201. 2 indexed citations
6.
Jing, Xingjian, et al.. (2019). Damage detection techniques for wind turbine blades: A review. Mechanical Systems and Signal Processing. 141. 106445–106445. 327 indexed citations breakdown →
7.
Liu, Shilong, et al.. (2019). Fusion Based Single Image De-hazing. 1–6. 1 indexed citations
8.
Li, Xuesong, et al.. (2019). Detection of Imaged Objects with Estimated Scales. 39–47. 2 indexed citations
9.
Shi, Haiyan, Shilong Liu, Hongkun Wu, et al.. (2018). Oscillatory Particle Swarm Optimizer. Applied Soft Computing. 73. 316–327. 37 indexed citations
10.
Kwok, N. M., et al.. (2018). A review on brightness preserving contrast enhancement methods for digital image. 11. 46–46. 1 indexed citations
11.
Liu, Scarlett, et al.. (2018). A robust automated flower estimation system for grape vines. Biosystems Engineering. 172. 110–123. 35 indexed citations
12.
Shi, Haiyan, Yeping Peng, Hongkun Wu, et al.. (2018). Single-scale center-surround Retinex based restoration of low-illumination images with edge enhancement. 45–45. 4 indexed citations
13.
Liu, Shilong, Hongkun Wu, Md Arifur Rahman, et al.. (2017). Enhancement of Low Illumination Images based on an Optimal Hyperbolic Tangent Profile. Computers & Electrical Engineering. 70. 538–550. 14 indexed citations
14.
Liu, Shilong, et al.. (2016). Image de-hazing from the perspective of noise filtering. Computers & Electrical Engineering. 62. 345–359. 22 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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