Yuni Xia

609 citations
25 papers · 363 · h-index 12

Impact in

    • Data Management and Algorithms
    • Data Stream Mining Techniques
    • Machine Learning and Data Classification
    • Imbalanced Data Classification Techniques
    • Anomaly Detection Techniques and Applications

Papers in

Yuni Xia

25 papers receiving 330 citations

Peers

Yuni Xia
Comparison fields: 5 of 83
  • Signal Processing 126
  • Artificial Intelligence 191
  • Health Information Management 27
  • Information Systems 100
  • Computer Networks and Communications 82
Replace Changjie Tang with:
Changjie Tang China
Dingyu Yang China
Alfonso F. Cárdenas United States
Farnaz Sabahi Iran
Lifang Gu Australia
Salman Iqbal Pakistan
Huajian Mao China
Kawuu W. Lin Taiwan
Qingqing Gan China
Omar Adwan Jordan
Yuni Xia relative to Changjie Tang China Changjie Tang's profile →
Citations per field
00.5×10×13.5×
Changjie Tang · 1×
Citations per year

Countries citing papers authored by Yuni Xia

Since Specialization
Citations

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

Fields of papers citing papers by Yuni Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200971
2 200658
3 201138
4 200329
5 201021
6
A vision for the systematic monitoring and improvement of the quality of electronic health data.
201319
7 200718
8 201715
9 201615
10 201015
11 201614
12 201011
13 20077
14 20126
15 20106
16 20164
17 20164
18 20093
19 20142
20 20102

About Yuni Xia

Yuni Xia is a scholar working on Artificial Intelligence, Signal Processing, Information Systems, Molecular Biology and Computer Networks and Communications, having authored 25 papers that have together received 363 indexed citations. Recurring topics across this work include Data Management and Algorithms (9 papers), Data Mining Algorithms and Applications (9 papers), Biomedical Text Mining and Ontologies (5 papers), Rough Sets and Fuzzy Logic (4 papers), Advanced Database Systems and Queries (4 papers), Artificial Intelligence in Healthcare (3 papers), Data Quality and Management (3 papers) and Data Stream Mining Techniques (2 papers). The work is most often cited by research in Signal Processing (126 citations), Artificial Intelligence (191 citations), Health Information Management (27 citations), Information Systems (100 citations) and Computer Networks and Communications (82 citations). Yuni Xia has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Sunil Prabhakar, Biao Qin, Yi-Cheng Tu, Jeffrey Scott Vitter, Shan Wang, Sarvjeet Singh, Xiaoyong Du, Rahul Shah, Reynold Cheng and Brian E. Dixon. Their work appears in journals such as Knowledge and Information Systems, Journal of Biomedical Informatics, Journal of Intelligent & Fuzzy Systems, Molecular Diagnosis & Therapy and Knowledge-Based Systems.

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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