Guang Wu

1.8k citations
35 papers · 1.5k indexed · 1 hit paper · h-index 19
Topics
Zeolite Catalysis and Synthesis (13 papers)Neural Networks and Applications (8 papers)Catalytic Processes in Materials Science (6 papers)

In The Last Decade

Guang Wu

34 papers receiving 1.4k citations

Hit Papers

Facile self-templating large scale preparation of biomass...20152026201820222015100200300400

Peers

Guang Wu
Comparison fields: 5 of 78
  • Electronic, Optical and Magnetic Materials 550
  • Inorganic Chemistry 452
  • Materials Chemistry 451
  • Electrical and Electronic Engineering 439
  • Biomedical Engineering 313
Replace Zhenyu Zhao with:
Zhenyu Zhao China
Jihai Tang China
Yan Yan China
Minghui Zhang China
Seyed Reza Nabavi Iran
Kai Huang China
Xiaoming Xiao China
Pundlik Rambhau Bhagat India
Rui Kong China
Guang Wu relative to Zhenyu Zhao China Zhenyu Zhao's profile →
Citations per field
00.5×10×15×18×
Zhenyu Zhao · 1×
Citations per year

Countries citing papers authored by Guang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Guang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Guang Wu. A scholar is included among the top collaborators of Guang 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 Guang Wu. Guang Wu 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 5
3 9
4 2
5 38
6 5
7 98
8 38
9 28
10 149
11 114
12 61
13 33
14
SHAPE-SELECTIVE SYNTHESIS OF 2,6-DIMETHYLNAPHTHALENE OVER (NH4)2SiF6-MODIFIED HZSM-12 ZEOLITE
1
15
Antibacterial Experiment on Aqueous Extract of Veronicastrum Cauloptera (Hance) Yamazaki in Vitro
2
16 37
17 10
18 3
19 11
20 22

About Guang Wu

Guang Wu is a scholar working on Inorganic Chemistry, Catalysis and Artificial Intelligence, having authored 35 papers that have together received 1.5k indexed citations. Recurring topics across this work include Zeolite Catalysis and Synthesis (13 papers), Neural Networks and Applications (8 papers) and Catalytic Processes in Materials Science (6 papers). The work is most often cited by research in Inorganic Chemistry (452 citations), Electronic, Optical and Magnetic Materials (550 citations) and Catalysis (165 citations). Guang Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Fangwei Ma, Jiafeng Wan, Di Ma, Feng Zhou, Yan Gao, Chuntao Liu, Jun Wang, Huixia Ma, Lihua Yu and Jiaming Zhao. Their work appears in journals such as Automatica, Journal of Materials Chemistry A and Journal of Colloid and Interface Science.

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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