Juan Wu

404 total citations
18 papers, 314 citations indexed

About

Juan Wu is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Cell Biology. According to data from OpenAlex, Juan Wu has authored 18 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Atomic and Molecular Physics, and Optics, 5 papers in Artificial Intelligence and 3 papers in Cell Biology. Recurrent topics in Juan Wu's work include Quantum Information and Cryptography (5 papers), Random lasers and scattering media (3 papers) and Quantum Mechanics and Applications (3 papers). Juan Wu is often cited by papers focused on Quantum Information and Cryptography (5 papers), Random lasers and scattering media (3 papers) and Quantum Mechanics and Applications (3 papers). Juan Wu collaborates with scholars based in China, South Korea and Iraq. Juan Wu's co-authors include Wei You, Yunlong Meng, Huiqiang Lu, Keyuan Zhong, Jinze Ma, Lianguo Chen, Jianghuan Hua, Bingsheng Zhou, Yongyong Guo and Jae‐Seong Lee and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and Environmental Pollution.

In The Last Decade

Juan Wu

14 papers receiving 308 citations

Peers

Juan Wu
Comparison fields: 5 of 84
  • Health, Toxicology and Mutagenesis 109
  • Pollution 62
  • Cell Biology 47
  • Molecular Biology 37
  • Materials Chemistry 34
Replace Daichi Nakamura with:
Daichi Nakamura Japan
Shruti Sharan India
Elyette Martin Switzerland
Gian Maria Zaccaria Italy
Igor Jerman Slovenia
Todd J. Zurlinden United States
Marie Fortin United States
Vibeke Bernson Sweden
Manon Beekhuijzen Netherlands
Michael Habeck Denmark
Daichi Nakamura Japan View profile →
Citations per field, relative to Juan Wu
Juan Wu · 1×
Citations per year, relative to Juan Wu
Juan Wu · 1×

Countries citing papers authored by Juan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Juan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Juan Wu. A scholar is included among the top collaborators of Juan Wu 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 Juan Wu. Juan Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 0
2 7
3 0
4 0
5 6
6 26
7 42
8 5
9 69
10 11
11 77
12 3
13 1
14 0
15 8
16 11
17 21
18
Antagonistic effects of extract from leaves of ginkgo biloba on glutamate neurotoxicity.
27

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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