Xing Mei

1.5k total citations · 1 hit paper
41 papers, 1.1k citations indexed

About

Xing Mei is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Xing Mei has authored 41 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 10 papers in Computational Mechanics and 9 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Xing Mei's work include Advanced Vision and Imaging (13 papers), Computer Graphics and Visualization Techniques (9 papers) and Advanced Image Processing Techniques (8 papers). Xing Mei is often cited by papers focused on Advanced Vision and Imaging (13 papers), Computer Graphics and Visualization Techniques (9 papers) and Advanced Image Processing Techniques (8 papers). Xing Mei collaborates with scholars based in China, France and United States. Xing Mei's co-authors include Xun Sun, Shaohui Jiao, Mingcai Zhou, Haitao Wang, Weiming Dong, Xiaopeng Zhang, Xiaopeng Zhang, Bao-Gang Hu, Feiyue Huang and Philippe Decaudin and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Xing Mei

38 papers receiving 1.0k citations

Hit Papers

align trajectories

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.

On building an accurate stereo matching system on graphics hardware

2011 389 citations Xing Mei, Xun Sun et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xing Mei China	14	920	233	126	97	60	41	1.1k
Jae-Young Sim South Korea	19	1.6k 1.7×	475 2.0×	94 0.7×	147 1.5×	25 0.4×	62	1.7k
David Hafner Germany	5	594 0.6×	148 0.6×	84 0.7×	142 1.5×	21 0.3×	11	712
Martin Čadík Czechia	16	780 0.8×	221 0.9×	180 1.4×	135 1.4×	53 0.9×	36	978
Katrin Lasinger Austria	6	891 1.0×	183 0.8×	145 1.2×	229 2.4×	23 0.4×	8	1.1k
Zhengqin Li United States	12	897 1.0×	234 1.0×	340 2.7×	76 0.8×	19 0.3×	24	1.2k
Greg Shakhnarovich United States	12	1.4k 1.5×	733 3.1×	105 0.8×	48 0.5×	24 0.4×	19	1.6k
Zhengyou Zhang United States	11	679 0.7×	82 0.4×	75 0.6×	155 1.6×	13 0.2×	16	762
Mei Yu China	24	1.6k 1.7×	544 2.3×	63 0.5×	33 0.3×	103 1.7×	162	1.8k
Vishvjit S. Nalwa United States	8	630 0.7×	137 0.6×	36 0.3×	71 0.7×	34 0.6×	13	746

Countries citing papers authored by Xing Mei

Since Specialization

Citations

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

Fields of papers citing papers by Xing Mei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xing Mei

This figure shows the co-authorship network connecting the top 25 collaborators of Xing Mei. A scholar is included among the top collaborators of Xing Mei 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 Xing Mei. Xing Mei 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:

20 of 20 papers shown

1.

Mei, Xing, et al.. (2024). Case report and literature review: Orally ingested toothpick perforating the lower rectum. Frontiers in Surgery. 11. 1368762–1368762. 1 indexed citations

2.

Li, Huaiyu, Weiming Dong, Xing Mei, et al.. (2019). LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning. arXiv (Cornell University). 3825–3834. 32 indexed citations

3.

Tang, Fan, Weiming Dong, Xing Mei, et al.. (2017). Animated Construction of Chinese Brush Paintings. IEEE Transactions on Visualization and Computer Graphics. 24(12). 3019–3031. 19 indexed citations

4.

Zhang, Yong, Weiming Dong, Chongyang Ma, et al.. (2016). Data-Driven Synthesis of Cartoon Faces Using Different Styles. IEEE Transactions on Image Processing. 26(1). 464–478. 15 indexed citations

5.

Kong, Yan, Weiming Dong, Xing Mei, et al.. (2016). Measuring and Predicting Visual Importance of Similar Objects. IEEE Transactions on Visualization and Computer Graphics. 22(12). 2564–2578. 5 indexed citations

6.

Mei, Xing, Weiming Dong, Bao-Gang Hu, & Siwei Lyu. (2015). UniHIST: A unified framework for image restoration with marginal histogram constraints. 3753–3761. 6 indexed citations

7.

Zhang, Zhong, Xing Mei, & Baihua Xiao. (2015). Abnormal Event Detection via Compact Low-Rank Sparse Learning. IEEE Intelligent Systems. 31(2). 29–36. 13 indexed citations

8.

Sheng, Kekai, Weiming Dong, Yan Kong, et al.. (2015). Evaluating the Quality of Face Alignment without Ground Truth. Computer Graphics Forum. 34(7). 213–223. 3 indexed citations

9.

Mei, Xing, et al.. (2015). Unsupervised Ranking of Multi-Attribute Objects Based on Principal Curves. IEEE Transactions on Knowledge and Data Engineering. 27(12). 3404–3416. 6 indexed citations

10.

Mei, Xing, et al.. (2014). Two-Phase Attribute Ordering for Unsupervised Ranking of Multi-attribute Objects. 3. 175–182. 3 indexed citations

11.

Mei, Xing, Bao-Gang Hu, & Siwei Lyu. (2014). Non-blind image restoration with symmetric generalized Pareto priors. 12. 4477–4481.

12.

Dai, Longquan, Feihu Zhang, Xing Mei, & Xiaopeng Zhang. (2014). Fast Minimax Path-Based Joint Depth Interpolation. IEEE Signal Processing Letters. 22(5). 623–627. 5 indexed citations

13.

Xu, Shibiao, Xing Mei, Weiming Dong, et al.. (2014). Depth of field rendering via adaptive recursive filtering. 1–4. 1 indexed citations

14.

Sun, Xun, Xing Mei, Shaohui Jiao, et al.. (2014). Real-time local stereo via edge-aware disparity propagation. Pattern Recognition Letters. 49. 201–206. 24 indexed citations

15.

Dong, Weiming, et al.. (2013). Content‐Based Colour Transfer. Computer Graphics Forum. 32(1). 190–203. 48 indexed citations

16.

Li, Weiming, Haitao Wang, Mingcai Zhou, et al.. (2013). Principal Observation Ray Calibration for Tiled-Lens-Array Integral Imaging Display. 1. 1019–1026. 8 indexed citations

17.

Xu, Shibiao, Xing Mei, Weiming Dong, Zhiyi Zhang, & Xiaopeng Zhang. (2012). Real-time ink simulation using a grid-particle method. Computers & Graphics. 36(8). 1025–1035. 7 indexed citations

18.

Sun, Xun, Xing Mei, Shaohui Jiao, Mingcai Zhou, & Haitao Wang. (2011). Stereo Matching with Reliable Disparity Propagation. 132–139. 70 indexed citations

19.

Li, Weiping & Xing Mei. (2011). Weak convergence for approximation of American option prices. Communications on Stochastic Analysis. 5(3).

20.

Mei, Xing, Xun Sun, Mingcai Zhou, et al.. (2011). On building an accurate stereo matching system on graphics hardware. 467–474. 389 indexed citations breakdown →

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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