Minfeng Xu

816 total citations · 1 hit paper
15 papers, 288 citations indexed

About

Minfeng Xu is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Minfeng Xu has authored 15 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Computer Graphics and Computer-Aided Design and 5 papers in Computational Mechanics. Recurrent topics in Minfeng Xu's work include Computer Graphics and Visualization Techniques (6 papers), 3D Shape Modeling and Analysis (5 papers) and Computational Geometry and Mesh Generation (4 papers). Minfeng Xu is often cited by papers focused on Computer Graphics and Visualization Techniques (6 papers), 3D Shape Modeling and Analysis (5 papers) and Computational Geometry and Mesh Generation (4 papers). Minfeng Xu collaborates with scholars based in China, Cayman Islands and Hong Kong. Minfeng Xu's co-authors include Zongyuan Ge, Yicheng Wu, Lei Zhang, Jianfei Cai, Yong Xia, Donghao Zhang, Yu Wang, Ying Chi, Xian‐Sheng Hua and Shiqing Xin and has published in prestigious journals such as Medical Image Analysis, Computer-Aided Design and Computer Aided Geometric Design.

In The Last Decade

Minfeng Xu

15 papers receiving 286 citations

Hit Papers

align trajectories sort by overperformance

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.

Mutual consistency learning for semi-supervised medical image segmentation

2022 192 citations Yicheng Wu, Zongyuan Ge et al. Medical Image Analysis profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Minfeng Xu China	8	183	114	103	56	51	15	288
Muhammad Nadeem Cheema Australia	7	144 0.8×	74 0.6×	61 0.6×	30 0.5×	38 0.7×	10	246
Anam Nazir Australia	7	144 0.8×	74 0.6×	61 0.6×	30 0.5×	38 0.7×	11	248
Lingjiao Pan China	10	172 0.9×	149 1.3×	51 0.5×	31 0.6×	68 1.3×	27	313
Laura Reden United States	7	296 1.6×	154 1.4×	55 0.5×	30 0.5×	46 0.9×	9	411
Kongming Liang China	10	203 1.1×	92 0.8×	169 1.6×	20 0.4×	41 0.8×	36	378
Weili Shi China	9	132 0.7×	101 0.9×	66 0.6×	32 0.6×	55 1.1×	64	297
Xiangyi Yan United States	6	177 1.0×	77 0.7×	100 1.0×	38 0.7×	40 0.8×	12	250
Changfa Shi China	8	157 0.9×	145 1.3×	93 0.9×	45 0.8×	56 1.1×	15	298
Tabea Kossen Germany	8	137 0.7×	119 1.0×	62 0.6×	55 1.0×	52 1.0×	12	310

Countries citing papers authored by Minfeng Xu

Since Specialization

Citations

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

Fields of papers citing papers by Minfeng Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minfeng Xu

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

All Works

Sort: Min cites: Since: Top N: Style:

15 of 15 papers shown

Li, Lingrui, et al.. (2025). nnWNet: Rethinking the Use of Transformers in Biomedical Image Segmentation and Calling for a Unified Evaluation Benchmark. 20852–20862. 2 indexed citations

Ren, Zhiyuan, et al.. (2024). High-precision teeth reconstruction based on automatic multimodal fusion with CBCT and IOS. Computer Aided Geometric Design. 111. 102299–102299. 2 indexed citations

Fang, Wei, Yuxing Tang, Heng Guo, et al.. (2024). CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data. 11631–11641. 2 indexed citations

Yang, Runze, et al.. (2023). Hybrid Optimization-based Cutting Simulation for Soft Objects. Computer-Aided Design. 163. 103561–103561. 1 indexed citations

Guo, Dazhou, Ke Yan, Le Lü, et al.. (2023). Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans. 21083–21094. 8 indexed citations

Zong, Chen, Shuangmin Chen, Minfeng Xu, et al.. (2023). GBGVD: Growth-based geodesic Voronoi diagrams. Graphical Models. 129. 101196–101196. 1 indexed citations

Sun, Mingze, Heng Guo, Xiaoyu Bai, et al.. (2023). Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Analysis. 15813–15823. 12 indexed citations

Wu, Yicheng, Zongyuan Ge, Donghao Zhang, et al.. (2022). Mutual consistency learning for semi-supervised medical image segmentation. Medical Image Analysis. 81. 102530–102530. 192 indexed citations breakdown →

Guo, Heng, Minfeng Xu, Miao Duan, et al.. (2022). Automatic coronary artery calcium scoring on routine chest computed tomography (CT): comparison of a deep learning algorithm and a dedicated calcium scoring CT. Quantitative Imaging in Medicine and Surgery. 12(5). 2684–2695. 14 indexed citations

10.

Xu, Minfeng, et al.. (2021). Fast exposure fusion of detail enhancement for brightest and darkest regions. The Visual Computer. 37(5). 1233–1243. 14 indexed citations

11.

Gao, Shanshan, et al.. (2021). Blind motion deblurring via L0 sparse representation. Computers & Graphics. 97. 248–257. 9 indexed citations

12.

Xu, Minfeng, Yu Wang, Ying Chi, & Xian‐Sheng Hua. (2020). Training Liver Vessel Segmentation Deep Neural Networks on Noisy Labels from Contrast CT Imaging. 1552–1555. 18 indexed citations

13.

Xu, Minfeng, Shiqing Xin, & Changhe Tu. (2019). An Efficient Surface Remeshing Algorithm Based on Centroidal Power Diagram. 536–542. 2 indexed citations

14.

Xu, Minfeng, Shiqing Xin, & Changhe Tu. (2018). Towards globally optimal normal orientations for thin surfaces. Computers & Graphics. 75. 36–43. 10 indexed citations

15.

Xu, Minfeng, Changhe Tu, & Wenping Wang. (2016). Building binary orientation octree for an arbitrary scattered point set. Graphical Models. 85. 30–36. 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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