Xinyi Liu

1.4k citations
58 papers · 945 indexed · 1 hit paper · h-index 14
Topics
Computational Drug Discovery Methods (7 papers)Advanced Neural Network Applications (6 papers)Image Enhancement Techniques (6 papers)
Journals
Nucleic Acids ResearchSHILAP Revista de lepidopterologíaBioinformatics
Partner nations
ChinaUnited StatesJapan

In The Last Decade

Xinyi Liu

49 papers receiving 918 citations

Hit Papers

Role of artificial intelligence in revolutionizing drug d...202420262025202410203040

Peers

Xinyi Liu
Comparison fields: 5 of 138
  • Molecular Biology 455
  • Computational Theory and Mathematics 248
  • Artificial Intelligence 129
  • Computer Vision and Pattern Recognition 94
  • Biomedical Engineering 67
Replace Gary R. Mirams with:
Gary R. Mirams United Kingdom
Xiong Liu United States
Utz‐Uwe Haus Germany
Vı́ctor Robles Spain
Genevera I. Allen United States
Adrián Carballal Spain
Jianping Hua United States
Zhizheng Zhang China
Marc Berndl United States
Kevin McCloskey United States
Xinyi Liu relative to Gary R. Mirams United Kingdom Gary R. Mirams's profile →
Citations per field
00.5×10×13.4×
Gary R. Mirams · 1×
Citations per year

Countries citing papers authored by Xinyi Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xinyi Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinyi Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Xinyi Liu. A scholar is included among the top collaborators of Xinyi Liu 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 Xinyi Liu. Xinyi Liu 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
#WorkIndexed citations
1 0
2 2
3 0
4 0
5
Role of artificial intelligence in revolutionizing drug discoverybreakdown →
49
6 1
7 3
8 0
9 4
10 0
11 5
12 3
13 8
14 1
15 8
16 3
17 11
18 27
19 55
20 197

About Xinyi Liu

Xinyi Liu is a scholar working on Modeling and Simulation, Sensory Systems and Computer Vision and Pattern Recognition, having authored 58 papers that have together received 945 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Advanced Neural Network Applications (6 papers) and Image Enhancement Techniques (6 papers). The work is most often cited by research in Computational Theory and Mathematics (248 citations), Sensory Systems (46 citations) and Health Informatics (11 citations). Xinyi Liu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Ran Su, Leyi Wei, Quan Zou, Jian Zhang, Yaqin Liu, Zhimin Huang, Shaoyong Lu, Guobao Xiao, Tingjun Hou and Yu Luo. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

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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