Zhongxia Chen

1.4k citations
5 papers · 218 · h-index 5

Impact in

    • Recommender Systems and Techniques
    • Topic Modeling
    • Advanced Graph Neural Networks
    • Explainable Artificial Intelligence (XAI)
    • Sentiment Analysis and Opinion Mining

Papers in

Zhongxia Chen

5 papers receiving 215 citations

Peers

Zhongxia Chen
Comparison fields: 5 of 42
  • Information Systems 116
  • Artificial Intelligence 136
  • Health Informatics 2
  • Computer Science Applications 8
  • Computer Vision and Pattern Recognition 29
Replace Saliya Ekanayake with:
Saliya Ekanayake United States
Armando Stellato Italy
Guangyan Lin China
Ahmed Ezzat Egypt
M. Suresha India
Lushan Han United States
Michael G. Noll Germany
Alastair Hume United Kingdom
Antony Selvadoss Thanamani India
Zhongxia Chen relative to Saliya Ekanayake United States Saliya Ekanayake's profile →
Citations per field
00.5×
Saliya Ekanayake · 1×
Citations per year

Countries citing papers authored by Zhongxia Chen

Since Specialization
Citations

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

Fields of papers citing papers by Zhongxia Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Zhongxia 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 Zhongxia Chen Line = papers co-authored together Zhongxia Chen links everyone, so they are left out of the graph.

All Works

About Zhongxia Chen

Zhongxia Chen is a scholar working on Information Systems, Artificial Intelligence, Molecular Biology, Ecology, Evolution, Behavior and Systematics and Cell Biology, having authored 5 papers that have together received 218 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (3 papers), Topic Modeling (3 papers), Explainable Artificial Intelligence (XAI) (2 papers), Plant Diversity and Evolution (1 paper), Biofuel production and bioconversion (1 paper), Plant Pathogens and Fungal Diseases (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper) and Enzyme Production and Characterization (1 paper). The work is most often cited by research in Information Systems (116 citations), Artificial Intelligence (136 citations), Health Informatics (2 citations), Computer Science Applications (8 citations) and Computer Vision and Pattern Recognition (29 citations). Zhongxia Chen has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xing Xie, Enhong Chen, Xiting Wang, Yining Wang, Tong Wu, Xiang Ao, Jingjing Liu, Pan Li, Hao Fu and Tetsuya Sakai. Their work appears in journals such as ACM Transactions on Intelligent Systems and Technology, Molecular Phylogenetics and Evolution and Renewable Energy.

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.

Explore authors with similar magnitude of impact