Mei Xie

2.1k total citations · 1 hit paper
145 papers, 1.5k citations indexed

About

Mei Xie is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing. According to data from OpenAlex, Mei Xie has authored 145 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Computer Vision and Pattern Recognition, 30 papers in Media Technology and 29 papers in Signal Processing. Recurrent topics in Mei Xie's work include Biometric Identification and Security (29 papers), Medical Image Segmentation Techniques (22 papers) and Image Retrieval and Classification Techniques (19 papers). Mei Xie is often cited by papers focused on Biometric Identification and Security (29 papers), Medical Image Segmentation Techniques (22 papers) and Image Retrieval and Classification Techniques (19 papers). Mei Xie collaborates with scholars based in China, United States and Belgium. Mei Xie's co-authors include Xin Ma, Bo Zeng, Xinxing Wu, Wenqing Wu, Duanbing Chen, Zheng Ma, Xiaoguang Tu, Jingjing Gao, Yan Fu and Yong Wang and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Mei Xie

135 papers receiving 1.5k 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.

A novel fractional time delayed grey model with Grey Wolf Optimizer and its applications in forecasting the natural gas and coal consumption in Chongqing China

2019 238 citations Xin Ma, Mei Xie et al. Energy profile →

Peers

Mei Xie

CVPR

MSOR

EEE

AI

MT

Derek T. Anderson United States

Abeer D. Algarni Saudi Arabia

Jiwen Dong China

Shanshan Feng China

Zheng Tang Japan

Alexander Graves United States

Fan Li China

Kuniaki Uehara Japan

Min Lin China

Stefano Rovetta Italy

Derek T. Anderson United States

Mei Xie

747 ×1.2

CVPR

401 ×1.1

MSOR

95 ×0.3

EEE

861 ×3.4

AI

226 ×1.0

MT

Citations per year, relative to Mei Xie Mei Xie (= 1×) peers Derek T. Anderson

Countries citing papers authored by Mei Xie

Since Specialization

Citations

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

Fields of papers citing papers by Mei Xie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei Xie

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

Xie, Mei, Qiufang Cai, Yu Liu, et al.. (2025). The first temperature reconstruction based on tree-ring blue intensity in the Qinling Mountains. Dendrochronologia. 92. 126359–126359. 1 indexed citations

2.

Xie, Mei, et al.. (2025). Exploring the proper statistical proxy to distinguish random structures. Chinese Physics B. 34(5). 58902–58902. 1 indexed citations

3.

Xie, Mei, Qiufang Cai, Yu Liu, et al.. (2024). Assessing climatic response and drought resilience in growth of Pinus tabulaeformis Carr. and Tsuga chinensis Pritz. on the southern slope of the Qinling Mountains. Global Ecology and Conservation. 53. e02999–e02999. 2 indexed citations

4.

Ma, Zheng, et al.. (2024). Mask guided two-stream network for end-to-end few-shot action recognition. Neurocomputing. 583. 127582–127582. 6 indexed citations

5.

Cai, Qiufang, Mei Xie, Yu Liu, et al.. (2024). The influence of North Atlantic sea surface temperature fluctuations on the climate of the Qinling-Bashan Mountains, China based on a 250 year tree-ring record. Palaeogeography Palaeoclimatology Palaeoecology. 649. 112320–112320. 1 indexed citations

6.

Xie, Mei, et al.. (2024). Improved Focus on Hard Samples for Lung Nodule Detection. 21–26.

7.

Ma, Zheng, et al.. (2023). Lightweight semantic image synthesis with mutable framework. Journal of Electronic Imaging. 32(3). 1 indexed citations

8.

Xue, Xinying, Mei Xie, Xidong Ma, et al.. (2023). Computed tomography (CT) characteristics and pathologic basis of ciliated muconodular papillary tumors of the lung. Quantitative Imaging in Medicine and Surgery. 13(7). 4339–4349. 2 indexed citations

9.

Cai, Qiufang, Yu Liu, Mei Xie, et al.. (2022). Insight into spatial-temporal patterns of hydroclimate change on the Chinese Loess Plateau over the past 250 years, using new evidence from tree rings. The Science of The Total Environment. 850. 157960–157960. 14 indexed citations

10.

Ge, Hao, et al.. (2020). Face Anti-Spoofing by the Enhancement of Temporal Motion. 106–111. 8 indexed citations

11.

Fu, Yan, et al.. (2020). Identifying critical nodes in temporal networks by network embedding. Scientific Reports. 10(1). 12494–12494. 32 indexed citations

12.

Ma, Xin, Mei Xie, Wenqing Wu, et al.. (2019). The novel fractional discrete multivariate grey system model and its applications. Applied Mathematical Modelling. 70. 402–424. 172 indexed citations

13.

Ma, Xin, Mei Xie, Wenqing Wu, Xinxing Wu, & Bo Zeng. (2019). A novel fractional time delayed grey model with Grey Wolf Optimizer and its applications in forecasting the natural gas and coal consumption in Chongqing China. Energy. 178. 487–507. 238 indexed citations breakdown →

14.

Ge, Hao, Xiaoguang Tu, Mei Xie, & Zheng Ma. (2018). The Smaller the Better: Fine-Grained Image Classification with Compressed Networks. 37–40. 1 indexed citations

15.

Mao, Ling & Mei Xie. (2013). Multiclass Image Segmentation Based on Pixel and Segment Level. Research Journal of Applied Sciences Engineering and Technology. 11(9). 2238–2244.

16.

Zhang, Shu, et al.. (2011). A novel method for object detection based on graph theory. International Journal of the Physical Sciences. 6(29). 6735–6740. 1 indexed citations

17.

Xie, Mei, et al.. (2007). A Fingerprint Minutiae Matching Method Based on Line Segment Vector. Journal of Electronic Science and Technology. 5(3). 260–263. 1 indexed citations

18.

Xie, Mei. (2006). Iris Recognition Technique. 3 indexed citations

19.

Xie, Mei. (2006). Studies on the Chemical Constituents of Zanthoxylum Armatum DC. Zhongguo yaofang. 5 indexed citations

20.

Xie, Mei. (2004). An Algorithm of Fingerprint Images Based on the Filtering of the Ridge Direction. Dianzi xuebao. 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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