Hongning Wang

991 total citations
29 papers, 759 citations indexed

About

Hongning Wang is a scholar working on Artificial Intelligence, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Hongning Wang has authored 29 papers receiving a total of 759 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Materials Chemistry and 4 papers in Biomedical Engineering. Recurrent topics in Hongning Wang's work include Mesoporous Materials and Catalysis (6 papers), Topic Modeling (3 papers) and Polyoxometalates: Synthesis and Applications (3 papers). Hongning Wang is often cited by papers focused on Mesoporous Materials and Catalysis (6 papers), Topic Modeling (3 papers) and Polyoxometalates: Synthesis and Applications (3 papers). Hongning Wang collaborates with scholars based in China, United States and Australia. Hongning Wang's co-authors include Weixin Ou, Yu Tao, Jie Guo, Chengzhong Yu, Xufeng Zhou, Thomas J. Brozoski, Donald M. Caspary, Pei Yuan, Meihua Yu and Xiaoxia Yan and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Journal of Materials Chemistry A.

In The Last Decade

Hongning Wang

26 papers receiving 748 citations

Peers

Hongning Wang
Comparison fields: 5 of 116
  • Materials Chemistry 205
  • Global and Planetary Change 168
  • Biomedical Engineering 123
  • Sensory Systems 112
  • Cognitive Neuroscience 89
Replace James R. White with:
James R. White United States
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Eugene J. Kim United States
Danni Wang China
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Marc A. Nascarella United States
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James R. White United States View profile →
Citations per field, relative to Hongning Wang
Hongning Wang · 1×
Citations per year, relative to Hongning Wang
Hongning Wang · 1×

Countries citing papers authored by Hongning Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hongning Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongning Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Hongning Wang. A scholar is included among the top collaborators of Hongning Wang 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 Hongning Wang. Hongning Wang 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 3
3 2
4 2
5 10
6 2
7 10
8 4
9 177
10 1
11 13
12 39
13 23
14 118
15
Effects of spray disinfection with slightly acidic electrolyzed water in a laying hen house
0
16 4
17 20
18 87
19 101
20 64

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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