Ying Xue

5 papers receiving 1.5k citations

Ying Xue's Hit Papers

An Overview of Overfitting and its Solutions 2019 · 1.5k citations
1.5k0+2+4Years since publication50010001.5k

Peers

Ying Xue
Comparison fields: 5 of 184
  • Health Informatics 25
  • Artificial Intelligence 331
  • Environmental Engineering 122
  • Computer Vision and Pattern Recognition 146
  • Health Information Management 24
Replace Brian C. Van Essen with:
Brian C. Van Essen United States
Ajay Shrestha United States
Tzu-Tsung Wong Taiwan
Stefan Westberg United States
A. K. Malik India
Laura Toloşi Germany
Jan Nedoma Czechia
Michel Lang Germany
B. Michael Kelm Germany
Mst Shamima Nasrin United States
Ying Xue relative to Brian C. Van Essen United States Brian C. Van Essen's profile →
Citations per field
00.5×3.6×
Brian C. Van Essen · 1×
Citations per year

Countries citing papers authored by Ying Xue

Since Specialization
Citations

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

Fields of papers citing papers by Ying Xue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1
An Overview of Overfitting and its Solutions
Hit paper breakdown →
20191513
2 20229
3 20228
4 20253
5 20251
6 20250
7 20230

About Ying Xue

Ying Xue is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Materials Chemistry, Control and Systems Engineering and Ophthalmology, having authored 7 papers that have together received 1.5k indexed citations. Recurring topics across this work include Ocular Surface and Contact Lens (3 papers), Advanced Nanomaterials in Catalysis (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Glaucoma and retinal disorders (1 paper), Anomaly Detection Techniques and Applications (1 paper), Risk and Safety Analysis (1 paper), Engineering and Test Systems (1 paper) and Corneal Surgery and Treatments (1 paper). The work is most often cited by research in Health Informatics (25 citations), Artificial Intelligence (331 citations), Environmental Engineering (122 citations), Computer Vision and Pattern Recognition (146 citations) and Health Information Management (24 citations). Ying Xue has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Yuanhua Liu, Gongjun Yang, Chunyong Wu, Xiaolei Zhang, Junying Zhang, Xiaolei Zhang, Xiaoshan Zhang, Li Li, Huiying Rao and Mingguang He. Their work appears in journals such as npj Digital Medicine, Microchimica Acta, Microchemical Journal, Frontiers in Medicine and Eye and Vision.

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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