Xiaoliang Chen

4.3k citations
208 papers · 3.0k indexed · h-index 30

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Advanced biosensing and bioanalysis techniques
    • RNA modifications and cancer

Papers in

    • Complex Network Analysis Techniques 28
    • Opinion Dynamics and Social Influence 15
    • Topic Modeling 29
    • Sentiment Analysis and Opinion Mining 28
    • Text and Document Classification Technologies 18
    • Advanced Graph Neural Networks 18
    • Advanced Text Analysis Techniques 16

Xiaoliang Chen

186 papers receiving 2.9k citations

Peers

Xiaoliang Chen
Comparison fields: 5 of 188
  • Cancer Research 483
  • Molecular Biology 1.4k
  • Artificial Intelligence 459
  • Statistical and Nonlinear Physics 157
  • Plant Science 352
Replace Hao Chen with:
Hao Chen China
Tian Zheng China
Ivan G. Costa Germany
Aiping Li China
Shaoliang Peng China
James J. Chen United States
Chen Ye China
Jiayin Wang China
Guido Sanguinetti United Kingdom
Casey S. Greene United States
Xiaoliang Chen relative to Hao Chen China Hao Chen's profile →
Citations per field
00.5×1.7×
Hao Chen · 1×
Citations per year

Countries citing papers authored by Xiaoliang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoliang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaoliang Chen, 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 Xiaoliang Chen Line = papers co-authored together Xiaoliang Chen links everyone, so they are left out of the graph.

All Works

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THE INFLUENCE OF POPULATION AGING ON CHINA’S URBAN HOUSING DEMAND
20134

About Xiaoliang Chen

Xiaoliang Chen is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Cancer Research, Molecular Biology and Geography, Planning and Development, having authored 208 papers that have together received 3.0k indexed citations. Recurring topics across this work include Topic Modeling (29 papers), Complex Network Analysis Techniques (28 papers), Sentiment Analysis and Opinion Mining (28 papers), Text and Document Classification Technologies (18 papers), Advanced Graph Neural Networks (18 papers), Advanced Text Analysis Techniques (16 papers), Advanced biosensing and bioanalysis techniques (15 papers) and Opinion Dynamics and Social Influence (15 papers). The work is most often cited by research in Cancer Research (483 citations), Molecular Biology (1.4k citations), Artificial Intelligence (459 citations), Statistical and Nonlinear Physics (157 citations) and Plant Science (352 citations). Xiaoliang Chen has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Yajun Du, Xianyong Li, Haiwen Zhang, Zhijin Zhang, Rongfeng Huang, Chunshu Jia, Mingwei Tang, Xiukun Lin, Chunhai Fan and Gan Qiao. Their work appears in journals such as Expert Systems with Applications, Applied Sciences, Neurocomputing, Information Sciences and Engineering Applications of Artificial Intelligence.

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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