Minye Wu

704 total citations
29 papers, 445 citations indexed

About

Minye Wu is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Minye Wu has authored 29 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 17 papers in Computer Graphics and Computer-Aided Design and 12 papers in Computational Mechanics. Recurrent topics in Minye Wu's work include Advanced Vision and Imaging (22 papers), Computer Graphics and Visualization Techniques (17 papers) and 3D Shape Modeling and Analysis (12 papers). Minye Wu is often cited by papers focused on Advanced Vision and Imaging (22 papers), Computer Graphics and Visualization Techniques (17 papers) and 3D Shape Modeling and Analysis (12 papers). Minye Wu collaborates with scholars based in China, Belgium and United Kingdom. Minye Wu's co-authors include Jingyi Yu, Lan Xu, Qiang Hu, Yuehao Wang, Yuheng Jiang, Yingliang Zhang, Ziyu Wang, Fuqiang Zhao, Kaiwen Guo and Liao Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and ACM Transactions on Graphics.

In The Last Decade

Minye Wu

27 papers receiving 424 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Minye Wu China	13	358	225	219	39	34	29	445
Yuanqing Zhang China	7	430 1.2×	253 1.1×	300 1.4×	19 0.5×	56 1.6×	13	538
Matheus Gadelha United States	7	314 0.9×	160 0.7×	233 1.1×	12 0.3×	27 0.8×	21	434
Matthew Webb United Kingdom	8	398 1.1×	458 2.0×	345 1.6×	39 1.0×	39 1.1×	14	566
Jason L. Mitchell United States	11	190 0.5×	311 1.4×	282 1.3×	55 1.4×	16 0.5×	24	511
Shizhe Zhou China	10	296 0.8×	164 0.7×	225 1.0×	15 0.4×	53 1.6×	23	403
Joerg H. Mueller Austria	6	215 0.6×	179 0.8×	104 0.5×	38 1.0×	23 0.7×	13	286
Kripasindhu Sarkar Germany	9	311 0.9×	129 0.6×	207 0.9×	30 0.8×	85 2.5×	22	382
Andreas Lehrmann Germany	4	492 1.4×	277 1.2×	231 1.1×	24 0.6×	78 2.3×	8	562
M. Ikits United States	6	177 0.5×	150 0.7×	91 0.4×	38 1.0×	54 1.6×	8	300
Ryota Natsume Japan	3	679 1.9×	317 1.4×	549 2.5×	18 0.5×	67 2.0×	3	788

Countries citing papers authored by Minye Wu

Since Specialization

Citations

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

Fields of papers citing papers by Minye Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minye Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Minye Wu. A scholar is included among the top collaborators of Minye 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 Minye Wu. Minye Wu 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

Li, Mingxiao, et al.. (2025). Instruction-guided path planning with 3D semantic maps for vision-language navigation. Neurocomputing. 625. 129457–129457. 1 indexed citations

Wu, Minye, et al.. (2025). BG-Triangle: Bézier Gaussian Triangle for 3D Vectorization and Rendering. Lirias (KU Leuven). 16197–16207.

Wang, Liao, et al.. (2024). VideoRF: Rendering Dynamic Radiance Fields as 2D Feature Video Streams. Lirias (KU Leuven). 470–481. 6 indexed citations

Wu, Minye, et al.. (2024). Unveiling the Ambiguity in Neural Inverse Rendering: A Parameter Compensation Analysis. Lirias (KU Leuven). 2832–2841. 1 indexed citations

Wu, Minye, et al.. (2024). TeTriRF: Temporal Tri-Plane Radiance Fields for Efficient Free-Viewpoint Video. Lirias (KU Leuven). 6487–6496. 4 indexed citations

Jiang, Yuheng, et al.. (2022). NeuralHOFusion: Neural Volumetric Rendering under Human-object Interactions. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 6145–6155. 26 indexed citations

Zhang, Longwen, Qixuan Zhang, Minye Wu, Jingyi Yu, & Lan Xu. (2021). Neural Video Portrait Relighting in Real-time via Consistency Modeling. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 782–792. 19 indexed citations

Wang, Liao, Ziyu Wang, Pei Lin, et al.. (2021). iButter: Neural Interactive Bullet Time Generator for Human Free-viewpoint Rendering. 4641–4650. 15 indexed citations

Li, Yuwei, Minye Wu, Yuyao Zhang, Lan Xu, & Jingyi Yu. (2021). PIANO: A Parametric Hand Bone Model from Magnetic Resonance Imaging. 816–822. 14 indexed citations

10.

Wang, Ziyu, Liao Wang, Fuqiang Zhao, et al.. (2021). MirrorNeRF: One-shot Neural Portrait Radiance Field from Multi-mirror Catadioptric Imaging. 1–12. 8 indexed citations

11.

Jiang, Bing, Yuyao Zhang, Minye Wu, Ji Li, & Jingyi Yu. (2021). Consistent Wce Video Frame Interpolation Based On Endoscopy Image Motion Estimation. 334–338. 1 indexed citations

12.

Jiang, Yuheng, Pei Lin, Yingliang Zhang, et al.. (2021). NeuralHumanFVV: Real-Time Neural Volumetric Human Performance Rendering using RGB Cameras. 6222–6233. 34 indexed citations

13.

Chen, Xin, et al.. (2021). ChallenCap: Monocular 3D Capture of Challenging Human Performances using Multi-Modal References. 11395–11406. 17 indexed citations

14.

Liu, Xinhang, Fuqiang Zhao, Yanshun Zhang, et al.. (2021). Editable free-viewpoint video using a layered neural representation. ACM Transactions on Graphics. 40(4). 1–18. 14 indexed citations

15.

Wu, Minye, Yanshun Zhang, Yingliang Zhang, et al.. (2020). Neural3D: Light-weight Neural Portrait Scanning via Context-aware Correspondence Learning. 3651–3660. 3 indexed citations

16.

Wu, Minye, et al.. (2020). Neural Opacity Point Cloud. IEEE Transactions on Pattern Analysis and Machine Intelligence. 42(7). 1570–1581. 5 indexed citations

17.

Wu, Minye, et al.. (2019). Multiview Vehicle Tracking by Graph Matching Model.. Computer Vision and Pattern Recognition. 29–36. 5 indexed citations

18.

Li, Zhong, et al.. (2018). 4D Human Body Correspondences from Panoramic Depth Maps. 2877–2886. 6 indexed citations

19.

Wu, Minye, et al.. (2014). A parallel processing model for big medical image data. 2. 266–269. 2 indexed citations

20.

Wu, Minye, et al.. (2014). Social Recommendation Algorithm Dynamically Adaptable to User Profiling for SNS. 309. 261–266. 1 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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