Xingyi Yang

1.5k citations
26 papers · 353 indexed · h-index 10
Topics
Topic Modeling (4 papers)Domain Adaptation and Few-Shot Learning (4 papers)Generative Adversarial Networks and Image Synthesis (3 papers)

In The Last Decade

Xingyi Yang

23 papers receiving 345 citations

Peers

Xingyi Yang
Comparison fields: 5 of 96
  • Computer Vision and Pattern Recognition 138
  • Artificial Intelligence 96
  • Biomedical Engineering 74
  • Polymers and Plastics 47
  • Pulmonary and Respiratory Medicine 27
Replace Yuhao Luo with:
Yuhao Luo China
Youngwan Lee South Korea
Dejia Xu United States
Shaik Javeed Hussain Oman
Pingping Zhang China
Huanxi Liu China
Adwan Alanazi Saudi Arabia
Vibha Vyas India
Shunfeng Zhou China
Xingyi Yang relative to Yuhao Luo China Yuhao Luo's profile →
Citations per field
00.5×3.9×
Yuhao Luo · 1×
Citations per year

Countries citing papers authored by Xingyi Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xingyi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingyi Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Xingyi Yang. A scholar is included among the top collaborators of Xingyi Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xingyi Yang. Xingyi Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 0
3 2
4 2
5 1
6 0
7 4
8 47
9 6
10 2
11 70
12 23
13 11
14 4
15 13
16 8
17
[Effects of rhubarb and different routes of nutrition support on invasive fungal infection].
1
18 0
19
The protective effect of rhubarb on gut in critical illness
1
20 5

About Xingyi Yang

Xingyi Yang is a scholar working on General Dentistry, Computer Vision and Pattern Recognition and Complementary and alternative medicine, having authored 26 papers that have together received 353 indexed citations. Recurring topics across this work include Topic Modeling (4 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (138 citations), Polymers and Plastics (47 citations) and Artificial Intelligence (96 citations). Xingyi Yang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Xinchao Wang, Daquan Zhou, Jiashi Feng, Songhua Liu, Juan Xie, Wei Long, Pengtao Xie, Quanzeng You, Muchao Ye and Sucheng Ren. Their work appears in journals such as ACS Applied Materials & Interfaces, Sensors and Frontiers in Neuroscience.

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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