Limei Xiao

529 total citations · 1 hit paper
24 papers, 368 citations indexed

About

Limei Xiao is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Biomedical Engineering. According to data from OpenAlex, Limei Xiao has authored 24 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 6 papers in Media Technology and 5 papers in Biomedical Engineering. Recurrent topics in Limei Xiao's work include Visual Attention and Saliency Detection (5 papers), Advanced Image Fusion Techniques (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Limei Xiao is often cited by papers focused on Visual Attention and Saliency Detection (5 papers), Advanced Image Fusion Techniques (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Limei Xiao collaborates with scholars based in China and Singapore. Limei Xiao's co-authors include Ce Li, Qiang Ma, Tian Wang, Zongze Wu, Ming Li, Aihua Zhang, Ruijin Zeng, Yu Gu, Qian Gao and Dianping Tang and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Neurocomputing.

In The Last Decade

Limei Xiao

24 papers receiving 347 citations

Hit Papers

Precise Tuning of the D-Band Center of Dual-Atomic Enzyme... 2024 2026 2025 2024 40 80 120
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.

  1. Precise Tuning of the D-Band Center of Dual-Atomic Enzymes for Catalytic Therapy
    2024 130 citations Ruijin Zeng, Qian Gao et al. Journal of the American Chemical Society profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Limei Xiao China 8 155 107 89 66 46 24 368
Vivek Maik India 9 173 1.1× 82 0.8× 97 1.1× 72 1.1× 4 0.1× 62 393
Jasdeep Kaur India 11 132 0.9× 155 1.4× 66 0.7× 106 1.6× 115 2.5× 47 533
Xiran Wang China 7 37 0.2× 141 1.3× 24 0.3× 19 0.3× 16 0.3× 30 284
Yaoqin Zhu China 9 67 0.4× 87 0.8× 99 1.1× 76 1.2× 5 0.1× 21 347
Yanmeng Li China 11 195 1.3× 68 0.6× 50 0.6× 83 1.3× 17 0.4× 24 402
Jingyue Chen China 12 59 0.4× 43 0.4× 34 0.4× 37 0.6× 35 0.8× 30 347
Cheng Jin China 6 246 1.6× 29 0.3× 281 3.2× 62 0.9× 4 0.1× 14 418
Jingyi Xu China 6 114 0.7× 22 0.2× 27 0.3× 22 0.3× 13 0.3× 16 234
Kuntal Kumar Pal United States 8 67 0.4× 31 0.3× 20 0.2× 29 0.4× 23 0.5× 12 308

Countries citing papers authored by Limei Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Limei Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Limei Xiao

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

All Works

20 of 20 papers shown
1.
Feng, Zhi‐Qiang, et al.. (2025). Anomaly image detection method based on one-step denoising diffusion model with high- and low-frequency information enhanced. Journal of Intelligent Manufacturing. 1 indexed citations
2.
Ma, Jialin, Ce Li, Zhiqiang Feng, & Limei Xiao. (2025). Dynamic Visual Attention-based Neuron Awakening and Shifting in deep reinforcement learning. Engineering Applications of Artificial Intelligence. 158. 111486–111486. 1 indexed citations
3.
4.
Xiao, Limei, et al.. (2025). Singlet Oxygen in Food: A Review on Its Formation, Oxidative Damages, Quenchers, and Applications in Preservation. Antioxidants. 14(7). 865–865. 2 indexed citations
5.
Wang, Lu, et al.. (2024). Characterization and assessment of free amino acids in different varieties of sugarcane. Industrial Crops and Products. 212. 118306–118306. 9 indexed citations
6.
Zeng, Ruijin, Yanli Li, Qing Wan, et al.. (2024). Orbital Coupling of Dual‐Atom Sites Boosts Electrocatalytic NO Oxidation and Dynamic Intracellular Response. Advanced Materials. 37(6). e2416371–e2416371. 7 indexed citations
7.
8.
Ma, Jialin, et al.. (2024). Don’t overlook any detail: Data-efficient reinforcement learning with visual attention. Knowledge-Based Systems. 310. 112869–112869. 1 indexed citations
9.
Zeng, Ruijin, Qian Gao, Limei Xiao, et al.. (2024). Precise Tuning of the D-Band Center of Dual-Atomic Enzymes for Catalytic Therapy. Journal of the American Chemical Society. 146(14). 10023–10031. 130 indexed citations breakdown →
10.
Zhang, Lulu, et al.. (2024). Role of catechin on furfural inhibition in sugarcane juice during thermal treatment: Adducts and mechanism. Food Control. 160. 110364–110364. 2 indexed citations
11.
Xiao, Limei, et al.. (2023). Gaze prediction based on long short-term memory convolution with associated features of video frames. Computers & Electrical Engineering. 107. 108625–108625. 1 indexed citations
12.
Xiao, Limei, et al.. (2021). A Simplified CNNs Visual Perception Learning Network Algorithm for Foods Recognition. Computers & Electrical Engineering. 92. 107152–107152. 7 indexed citations
13.
Li, Ce, et al.. (2016). A novel image enhancement method using fuzzy Sure entropy. Neurocomputing. 215. 196–211. 19 indexed citations
14.
Xiao, Limei, Ce Li, Zongze Wu, & Tian Wang. (2016). An enhancement method for X-ray image via fuzzy noise removal and homomorphic filtering. Neurocomputing. 195. 56–64. 63 indexed citations
15.
Li, Ce, et al.. (2015). Saliency detection via Low-rank reconstruction from global to local. 669–673. 2 indexed citations
16.
Li, Ce, et al.. (2014). Salient traffic sign video detection based on hypercomplex frequency domain. Lanzhou University Institutional Repository. 11. 7379–7382. 2 indexed citations
17.
Li, Jianhai, et al.. (2012). Intelligent Digital Multi-purpose Vehicle Instrument. PRZEGLĄD ELEKTROTECHNICZNY. 64–67. 2 indexed citations
18.
Li, Ce, et al.. (2012). Salient traffic sign recognition based on sparse representation of visual perception. 9. 273–278. 8 indexed citations
19.
Li, Ce, et al.. (2012). A method of registration based on skeleton for 2-D shapes. 15. 810–813. 2 indexed citations
20.
Xiao, Limei, et al.. (2012). Games Track Competition Project Information Management Based on Personal Computer. Journal of Convergence Information Technology. 7(15). 176–184. 2 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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