Xingyu Liao

4.7k total citations · 3 hit papers
44 papers, 1.5k citations indexed

About

Xingyu Liao is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Xingyu Liao has authored 44 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 8 papers in Computer Vision and Pattern Recognition and 7 papers in Artificial Intelligence. Recurrent topics in Xingyu Liao's work include Genomics and Phylogenetic Studies (16 papers), RNA and protein synthesis mechanisms (12 papers) and Gene expression and cancer classification (8 papers). Xingyu Liao is often cited by papers focused on Genomics and Phylogenetic Studies (16 papers), RNA and protein synthesis mechanisms (12 papers) and Gene expression and cancer classification (8 papers). Xingyu Liao collaborates with scholars based in China, Saudi Arabia and Canada. Xingyu Liao's co-authors include Shenqi Lai, Hao Luo, Wei Jiang, Xin Gao, Jianxin Wang, Juexiao Zhou, Bin Zhang, Fang‐Xiang Wu, Haoyang Li and Min Li and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Xingyu Liao

42 papers receiving 1.4k citations

Hit Papers

Bag of Tricks and a Strong Baseline for Deep Person Re-Id... 2019 2026 2021 2023 2019 2023 2024 250 500 750

Peers

Xingyu Liao
Comparison fields: 5 of 119
  • Computer Vision and Pattern Recognition 928
  • Molecular Biology 320
  • Biomedical Engineering 286
  • Artificial Intelligence 176
  • Plant Science 75
Replace Hantao Yao with:
Hantao Yao China
Xiaohong Jia China
Chenyang Si China
Yangyu Huang China
Shilin Zhu China
Yixiong Chen China
Huaijun Wang China
Cong Zhang China
Tsubasa Hirakawa Japan
Hantao Yao China View profile →
Citations per field, relative to Xingyu Liao
Xingyu Liao · 1×
Citations per year, relative to Xingyu Liao
Xingyu Liao · 1×

Countries citing papers authored by Xingyu Liao

Since Specialization
Citations

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

Fields of papers citing papers by Xingyu Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingyu Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Xingyu Liao. A scholar is included among the top collaborators of Xingyu Liao 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 Xingyu Liao. Xingyu Liao 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
# Work Indexed citations
1 0
2 1
3
Pre-trained multimodal large language model enhances dermatological diagnosis using SkinGPT-4 breakdown →
57
4 2
5 4
6 5
7 0
8 1
9 29
10 3
11 62
12 9
13 2
14 15
15 5
16 18
17
FastReID: A Pytorch Toolbox for Real-world Person Re-identification
13
18 9
19
Bag of Tricks and a Strong Baseline for Deep Person Re-Identification breakdown →
864
20 1

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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