Zihan Wang

1.6k total citations
80 papers, 880 citations indexed

About

Zihan Wang is a scholar working on Civil and Structural Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Zihan Wang has authored 80 papers receiving a total of 880 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Civil and Structural Engineering, 14 papers in Biomedical Engineering and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Zihan Wang's work include EEG and Brain-Computer Interfaces (7 papers), Anaerobic Digestion and Biogas Production (6 papers) and Functional Brain Connectivity Studies (6 papers). Zihan Wang is often cited by papers focused on EEG and Brain-Computer Interfaces (7 papers), Anaerobic Digestion and Biogas Production (6 papers) and Functional Brain Connectivity Studies (6 papers). Zihan Wang collaborates with scholars based in China, United States and Singapore. Zihan Wang's co-authors include Xiaowei Li, Jing Zhu, Shuting Sun, Hongyi Xu, Chen Xia, Bin Hu, Jianxiu Li, Xin Zhang, Ying Li and Lei Zhao and has published in prestigious journals such as Bioresource Technology, Acta Materialia and Scientific Reports.

In The Last Decade

Zihan Wang

64 papers receiving 857 citations

Peers

Zihan Wang
Comparison fields: 5 of 142
  • Cognitive Neuroscience 227
  • Biomedical Engineering 133
  • Civil and Structural Engineering 112
  • Mechanical Engineering 95
  • Experimental and Cognitive Psychology 79
Replace Ye Sun with:
Ye Sun United States
Hiroshi Watanabe Japan
Hirofumi Aoki Japan
Bei Wang China
Chien-Hung Yeh China
Xuezhi Yang China
Cataldo Guaragnella Italy
Wangxin Yu China
Jing Shang China
João Carlos Machado Brazil
Ye Sun United States View profile →
Citations per field, relative to Zihan Wang
Zihan Wang · 1×
Citations per year, relative to Zihan Wang
Zihan Wang · 1×

Countries citing papers authored by Zihan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zihan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zihan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Zihan Wang. A scholar is included among the top collaborators of Zihan 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 Zihan Wang. Zihan 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 1
2 1
3 2
4 0
5 1
6 10
7 1
8 1
9 3
10 2
11 9
12 4
13 3
14 11
15 6
16 18
17 6
18 22
19 59
20 16

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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