Ying Xue

2.2k citations
6 papers · 1.5k indexed · 1 hit paper · h-index 3

Impact in

Papers in

Ying Xue

4 papers receiving 1.4k citations

Hit Papers

An Overview of Overfitting and its Solutions 2019 · 1.4k citations
1.4k20192026202120234008001.2k

Peers

Ying Xue
Comparison fields: 5 of 186
  • Health Informatics 28
  • Artificial Intelligence 331
  • Environmental Engineering 117
  • Computer Vision and Pattern Recognition 140
  • Radiology, Nuclear Medicine and Imaging 126
Replace Minghui Hu with:
Minghui Hu China
Laura Toloşi Germany
Brian C. Van Essen United States
Ajay Shrestha United States
Tzu-Tsung Wong Taiwan
Michel Lang Germany
Stefan Westberg United States
A. K. Malik India
Nachaat Mohamed India
B. Michael Kelm Germany
Ying Xue relative to Minghui Hu China Minghui Hu's profile →
Citations per field
00.5×3.2×
Minghui Hu · 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-authorship network

The 17 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

6 of 6 papers shown
#Work
1 20250
2 20251
3 20230
4 20229
5 20228
6
An Overview of Overfitting and its Solutions
Hit paper breakdown →
20191438

About Ying Xue

Ying Xue is a scholar working on Statistics, Probability and Uncertainty, Ophthalmology, Public Health, Environmental and Occupational Health, Electronic, Optical and Magnetic Materials and Control and Systems Engineering, having authored 6 papers that have together received 1.5k indexed citations. Recurring topics across this work include Ocular Surface and Contact Lens (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Advanced Nanomaterials in Catalysis (2 papers), Electrochemical sensors and biosensors (1 paper), Risk and Safety Analysis (1 paper), Fault Detection and Control Systems (1 paper), Gold and Silver Nanoparticles Synthesis and Applications (1 paper) and Engineering and Test Systems (1 paper). The work is most often cited by research in Health Informatics (28 citations), Artificial Intelligence (331 citations), Environmental Engineering (117 citations), Computer Vision and Pattern Recognition (140 citations) and Radiology, Nuclear Medicine and Imaging (126 citations). Ying Xue has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Yuanhua Liu, Gongjun Yang, Xiaolei Zhang, Junying Zhang, Xiaolei Zhang, Chunyong Wu, Zhuoting Zhu, Hao Huang, Mingguang He and Jiawen Lin. Their work appears in journals such as Microchimica Acta, Eye and Vision, npj Digital Medicine, Microchemical Journal and Journal of Physics Conference Series.

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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