Xiaoying Liu

655 citations
34 papers · 489 · h-index 12

Impact in

Papers in

Xiaoying Liu

33 papers receiving 483 citations

Peers

Xiaoying Liu
Comparison fields: 5 of 108
  • Computational Mathematics 5
  • Artificial Intelligence 217
  • Cancer Research 54
  • Health Information Management 18
  • Renewable Energy, Sustainability and the Environment 60
Replace Sarinder Kaur Dhillon with:
Sarinder Kaur Dhillon Malaysia
Elham Pashaei Türkiye
Dalia Ezzat Egypt
Hongyan Zhou China
Peng Zeng United States
Zhiheng Li China
Jarkko Tikka Finland
Youxi Luo China
Xiaoying Liu relative to Sarinder Kaur Dhillon Malaysia Sarinder Kaur Dhillon's profile →
Citations per field
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Sarinder Kaur Dhillon · 1×
Citations per year

Countries citing papers authored by Xiaoying Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoying Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaoying Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaoying Liu Line = papers co-authored together Xiaoying Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018119
2 200876
3 201033
4 202332
5 202124
6 202422
7 201220
8 201820
9 202219
10 202317
11 201915
12 201912
13 201610
14 201410
15 20208
16 20218
17 20227
18 20227
19 20235
20 20194

About Xiaoying Liu

Xiaoying Liu is a scholar working on Cancer Research, Artificial Intelligence, Computational Theory and Mathematics, Molecular Biology and Statistics and Probability, having authored 34 papers that have together received 489 indexed citations. Recurring topics across this work include Gene expression and cancer classification (7 papers), MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (4 papers), Bioinformatics and Genomic Networks (4 papers), Metaheuristic Optimization Algorithms Research (2 papers), Computational Drug Discovery Methods (2 papers), RNA modifications and cancer (2 papers) and Sparse and Compressive Sensing Techniques (2 papers). The work is most often cited by research in Computational Mathematics (5 citations), Artificial Intelligence (217 citations), Cancer Research (54 citations), Health Information Management (18 citations) and Renewable Energy, Sustainability and the Environment (60 citations). Xiaoying Liu has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Yong Qi Liang, Ziyi Yang, Sai Wang, Yuzhong Li, John Roy Porter, Yanqing Zhang, Xurong Mei, Jens Raunsø Jensen, Qingsuo Wang and Yong Liang. Their work appears in journals such as Scientific Reports, Computers in Biology and Medicine, Frontiers in Bioengineering and Biotechnology, IEEE Transactions on Computational Biology and Bioinformatics and IEEE Access.

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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