Yakun Ju

873 total citations
45 papers, 566 citations indexed

About

Yakun Ju is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Yakun Ju has authored 45 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Vision and Pattern Recognition, 13 papers in Computer Graphics and Computer-Aided Design and 12 papers in Computational Mechanics. Recurrent topics in Yakun Ju's work include Advanced Vision and Imaging (23 papers), Computer Graphics and Visualization Techniques (13 papers) and 3D Shape Modeling and Analysis (12 papers). Yakun Ju is often cited by papers focused on Advanced Vision and Imaging (23 papers), Computer Graphics and Visualization Techniques (13 papers) and 3D Shape Modeling and Analysis (12 papers). Yakun Ju collaborates with scholars based in China, Hong Kong and United Kingdom. Yakun Ju's co-authors include Junyu Dong, Kin‐Man Lam, Lin Qi, Muwei Jian, Cong Zhang, Boxin Shi, Jingran Su, Sheng Chen, Qi Wang and Feng Gao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Yakun Ju

41 papers receiving 558 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yakun Ju China	15	420	142	118	95	91	45	566
Zhengqi Li United States	12	774 1.8×	347 2.4×	231 2.0×	123 1.3×	89 1.0×	20	920
Kartic Subr United Kingdom	14	374 0.9×	245 1.7×	128 1.1×	48 0.5×	53 0.6×	45	584
Zhiwen Fan United States	11	849 2.0×	83 0.6×	92 0.8×	134 1.4×	240 2.6×	14	1.0k
Tianfan Xue Hong Kong	14	551 1.3×	71 0.5×	59 0.5×	59 0.6×	151 1.7×	36	640
Ignacio Garcia‐Dorado United States	11	314 0.7×	117 0.8×	78 0.7×	27 0.3×	89 1.0×	14	511
Tai-Pang Wu Hong Kong	15	616 1.5×	313 2.2×	165 1.4×	37 0.4×	62 0.7×	22	701
Carlos Hernández United States	8	494 1.2×	68 0.5×	56 0.5×	209 2.2×	144 1.6×	11	672
Feitong Tan Canada	8	555 1.3×	78 0.5×	87 0.7×	140 1.5×	101 1.1×	16	633
Mark D. Wheeler United States	8	416 1.0×	258 1.8×	119 1.0×	208 2.2×	25 0.3×	14	561

Countries citing papers authored by Yakun Ju

Since Specialization

Citations

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

Fields of papers citing papers by Yakun Ju

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yakun Ju

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

All Works

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20 of 20 papers shown

Ju, Yakun, Yuying Zhao, Jun Xiao, et al.. (2025). Photometric Regularization for 3D Gaussian Splatting in Multi-View Surface Projection. IEEE Journal of Selected Topics in Signal Processing. 19(8). 1682–1693.

Ju, Yakun, et al.. (2025). Face reconstruction with detailed skin features via three selfie images. Journal of Visual Communication and Image Representation. 111. 104529–104529.

Lam, Kin‐Man, et al.. (2025). Multi-Factor Deep Learning Model for Sea Surface Temperature Forecasting. Remote Sensing. 17(5). 752–752. 1 indexed citations

Ju, Yakun, Jun Xiao, Cong Zhang, et al.. (2024). Towards marine snow removal with fusing Fourier information. Information Fusion. 117. 102810–102810. 15 indexed citations

Zhang, Cong, Yakun Ju, Jun Xiao, Yuting Yang, & Kin‐Man Lam. (2024). Aligning localization and classification for anchor-free object detection in aerial imagery. 60. 54–54. 1 indexed citations

Sun, Xin, et al.. (2024). A comprehensive dataset for dynamic analysis of ocean front. 2(1).

Ju, Yakun, Ling Li, Xian Zhong, et al.. (2024). Underwater Surface Normal Reconstruction via Cross-Grained Photometric Stereo Transformer. IEEE Journal of Oceanic Engineering. 50(1). 192–203. 13 indexed citations

Cai, Rizhao, Chenqi Kong, Yakun Ju, et al.. (2024). Forgery-Aware Adaptive Learning With Vision Transformer for Generalized Face Forgery Detection. IEEE Transactions on Circuits and Systems for Video Technology. 35(5). 4116–4129. 8 indexed citations

Ju, Yakun, et al.. (2023). Learning General Descriptors for Image Matching With Regression Feedback. IEEE Transactions on Circuits and Systems for Video Technology. 33(11). 6693–6707. 4 indexed citations

10.

Ju, Yakun, et al.. (2023). Learning Enriched Feature Descriptor for Image Matching and Visual Measurement. IEEE Transactions on Instrumentation and Measurement. 72. 1–12. 10 indexed citations

11.

Huang, Zixun, et al.. (2023). A Structure-Affinity Dual Attention-based Network to Segment Spine for Scoliosis Assessment. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 1567–1574. 5 indexed citations

12.

Ju, Yakun, et al.. (2022). Learning General Feature Descriptor for Visual Measurement With Hierarchical View Consistency. IEEE Transactions on Instrumentation and Measurement. 71. 1–12. 3 indexed citations

13.

Rigall, Eric, et al.. (2022). 3D Hand Pose Estimation From Monocular RGB With Feature Interaction Module. IEEE Transactions on Circuits and Systems for Video Technology. 32(8). 5293–5306. 17 indexed citations

14.

Ju, Yakun, Junyu Dong, & Sheng Chen. (2021). Recovering Surface Normal and Arbitrary Images: A Dual Regression Network for Photometric Stereo. IEEE Transactions on Image Processing. 30. 3676–3690. 45 indexed citations

15.

Ju, Yakun, Yuxin Peng, Muwei Jian, Feng Gao, & Junyu Dong. (2021). Learning conditional photometric stereo with high-resolution features. Computational Visual Media. 8(1). 105–118. 26 indexed citations

16.

Ju, Yakun, Kin‐Man Lam, Yang Chen, Lin Qi, & Junyu Dong. (2020). Pay Attention to Devils: A Photometric Stereo Network for Better Details. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 694–700. 27 indexed citations

17.

Ju, Yakun, et al.. (2019). MPS-Net: Learning to recover surface normal for multispectral photometric stereo. Neurocomputing. 375. 62–70. 15 indexed citations

18.

Ju, Yakun, et al.. (2019). A dual-cue network for multispectral photometric stereo. Pattern Recognition. 100. 107162–107162. 21 indexed citations

19.

Ju, Yakun, Lin Qi, Hao Fan, Lu Liang, & Junyu Dong. (2018). Photometric stereo via random sampling and tensor robust principal component analysis. 58. 1–1. 1 indexed citations

20.

Fan, Hao, Lin Qi, Yakun Ju, Junyu Dong, & Hui Yu. (2017). Refractive laser triangulation and photometric stereo in underwater environment. Optical Engineering. 56(11). 1–1. 24 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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