Zhao-Xu Yang

2.1k citations
82 papers · 1.3k indexed · h-index 22
Topics
Neural Networks and Applications (10 papers)Fuzzy Logic and Control Systems (9 papers)Organ Transplantation Techniques and Outcomes (8 papers)
Partner nations
ChinaMacaoUnited States

In The Last Decade

Zhao-Xu Yang

75 papers receiving 1.3k citations

Peers

Zhao-Xu Yang
Comparison fields: 5 of 139
  • Molecular Biology 404
  • Cancer Research 209
  • Surgery 199
  • Endocrine and Autonomic Systems 158
  • Artificial Intelligence 114
Replace Weiguo Liu with:
Weiguo Liu China
Yongfeng Song China
Yufan Wang China
Chunhui Jiang China
Yanjun Jia China
Chao Xu China
Zhuo‐Xian Meng China
Kenneth A. Philbrick United States
Xuefei Liu China
Zhao-Xu Yang relative to Weiguo Liu China Weiguo Liu's profile →
Citations per field
00.5×1.5×2.4×
Weiguo Liu · 1×
Citations per year

Countries citing papers authored by Zhao-Xu Yang

Since Specialization
Citations

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

Fields of papers citing papers by Zhao-Xu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhao-Xu Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhao-Xu Yang. A scholar is included among the top collaborators of Zhao-Xu 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 Zhao-Xu Yang. Zhao-Xu 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 0
2 0
3 1
4 3
5 19
6 9
7 2
8 8
9 36
10 21
11 13
12
Pig Liver Xenotransplantation: A Review of Progress Toward the Clinic
5
13 2
14 8
15 20
16 65
17
Curcumin regulates hepatoma cell proliferation and apoptosis through the Notch signaling pathway.
17
18 85
19 88
20 50

About Zhao-Xu Yang

Zhao-Xu Yang is a scholar working on Computational Mathematics, Hepatology and Transplantation, having authored 82 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neural Networks and Applications (10 papers), Fuzzy Logic and Control Systems (9 papers) and Organ Transplantation Techniques and Outcomes (8 papers). The work is most often cited by research in Endocrine and Autonomic Systems (158 citations), Cancer Research (209 citations) and Hepatology (83 citations). Zhao-Xu Yang has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Peilin Cui, Kaishan Tao, Guangshe Zhao, Kefeng Dou, Liang Zhou, Minghua Yu, Pak Kin Wong, Hai-Jun Rong, Desheng Wang and Chi‐Man Vong. Their work appears in journals such as PLoS ONE, Scientific Reports and IEEE Transactions on Industrial Electronics.

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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