Guangyan Wang

1.6k citations
97 papers · 1.1k · h-index 18

Impact in

Papers in

Guangyan Wang

85 papers receiving 1.1k citations

Peers

Guangyan Wang
Comparison fields: 5 of 149
  • Surfaces, Coatings and Films 143
  • Biological Psychiatry 38
  • Behavioral Neuroscience 48
  • Molecular Medicine 43
  • Mechanical Engineering 173
Replace Jianmei Wang with:
Jianmei Wang China
Xin Zhao China
Yoshiaki Suzuki Japan
Hyun‐Min Kim United States
Yuchen Yao China
Shuying Wang China
Won Il Kim South Korea
Chunyan Tang China
Masakazu Suzuki Japan
Guangyan Wang relative to Jianmei Wang China Jianmei Wang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Guangyan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guangyan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Guangyan Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Guangyan Wang Line = papers co-authored together Guangyan Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017171
2 201895
3 201756
4 202136
5 202332
6 201628
7 202227
8 201627
9 201924
10
Concept-Aware Deep Knowledge Tracing and Exercise Recommendation in an Online Learning System.
201923
11 202323
12 202023
13 202323
14 202123
15 202121
16 202218
17 202217
18 202117
19 202117
20 202316

About Guangyan Wang

Guangyan Wang is a scholar working on Molecular Biology, Mechanical Engineering, Plant Science, Materials Chemistry and Genetics, having authored 97 papers that have together received 1.1k indexed citations. Recurring topics across this work include Intermetallics and Advanced Alloy Properties (6 papers), Speech and Audio Processing (6 papers), Liver Disease Diagnosis and Treatment (5 papers), Plant Diversity and Evolution (5 papers), Genetic diversity and population structure (5 papers), Chromosomal and Genetic Variations (5 papers), High Temperature Alloys and Creep (4 papers) and Surface Modification and Superhydrophobicity (4 papers). The work is most often cited by research in Surfaces, Coatings and Films (143 citations), Biological Psychiatry (38 citations), Behavioral Neuroscience (48 citations), Molecular Medicine (43 citations) and Mechanical Engineering (173 citations). Guangyan Wang has collaborated with scholars based in China, United States and Moldova. Frequent co-authors include Tianyi Zhao, Ruixin Bian, Pengwei Wang, Huan Liu, Jinhui Wang, Shan Cui, Yongping Yang, Mingjie Liu, Kesong Liu and Dezhao Hao. Their work appears in journals such as Journal of Hydrology, Journal of Biological Chemistry, Plant Diversity, Redox Biology and Materials Characterization.

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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