Wang Xinzhou

1.0k total citations · 1 hit paper
37 papers, 698 citations indexed

About

Wang Xinzhou is a scholar working on Molecular Biology, Artificial Intelligence and Complementary and alternative medicine. According to data from OpenAlex, Wang Xinzhou has authored 37 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Artificial Intelligence and 6 papers in Complementary and alternative medicine. Recurrent topics in Wang Xinzhou's work include Advanced Computational Techniques and Applications (8 papers), Traditional Chinese Medicine Analysis (5 papers) and Gut microbiota and health (5 papers). Wang Xinzhou is often cited by papers focused on Advanced Computational Techniques and Applications (8 papers), Traditional Chinese Medicine Analysis (5 papers) and Gut microbiota and health (5 papers). Wang Xinzhou collaborates with scholars based in China, Hong Kong and United States. Wang Xinzhou's co-authors include Xin Zhang, Peng Zhang, Hongling Liu, Xiaoxiang Wang, Hongxia Yu, Li Zhang, Zufang Wu, Xiaolin Li, Xiangping Qian and Li Ye and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and Molecules.

In The Last Decade

Wang Xinzhou

32 papers receiving 682 citations

Hit Papers

Probiotics Regulate Gut Microbiota: An Effective Method t... 2021 2026 2022 2024 2021 100 200 300

Peers

Wang Xinzhou
Comparison fields: 5 of 133
  • Molecular Biology 325
  • Food Science 158
  • Physiology 72
  • Nutrition and Dietetics 68
  • Computational Theory and Mathematics 61
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Aliyu Muhammad Nigeria View profile →
Citations per field, relative to Wang Xinzhou
Wang Xinzhou · 1×
Citations per year, relative to Wang Xinzhou
Wang Xinzhou · 1×

Countries citing papers authored by Wang Xinzhou

Since Specialization
Citations

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

Fields of papers citing papers by Wang Xinzhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wang Xinzhou

This figure shows the co-authorship network connecting the top 25 collaborators of Wang Xinzhou. A scholar is included among the top collaborators of Wang Xinzhou 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 Wang Xinzhou. Wang Xinzhou 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
# Work Indexed citations
1 0
2 17
3 3
4 22
5 2
6 30
7 25
8 1
9 7
10 46
11 65
12
A New Method for Integer Ambiguity Resolution in GPS Deformation Monitoring
2
13
Application of Dynamic Fuzzy Neural Network to Dam Deformation Prediction
1
14
Spatial Data Processing and Spatial Data Mining
0
15
FUZZY UNCERTAINTY OF GIS DATA
1
16
Application of non-linear semiparametric models in GPS systemat-ic error psoussing
0
17
The Co-factor Matrix of the Iteration Method by Correcting Characteristic Value
4
18
Construction of Fuzzy Similar Matrix
2
19
Iteration Method by Correcting Characteristic Value for Ill-Conditioned Equations in the Least Square Estimations
3
20
On spatial data mining and knowledge discovery (SDMKD)
19

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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