Feiyang Wang

820 citations
29 papers · 495 indexed · h-index 13
Topics
Advanced Graph Neural Networks (9 papers)Advanced biosensing and bioanalysis techniques (6 papers)Machine Learning in Healthcare (4 papers)

In The Last Decade

Feiyang Wang

25 papers receiving 484 citations

Peers

Feiyang Wang
Comparison fields: 5 of 92
  • Materials Chemistry 143
  • Molecular Biology 135
  • Artificial Intelligence 120
  • Biomedical Engineering 113
  • Mechanical Engineering 65
Replace Gunawan Witjaksono with:
Gunawan Witjaksono Malaysia
Zhenqi Huang United States
Jiahui Wen China
Kourosh Darvish Italy
Jianbo Ye China
Jaeyoung Yang South Korea
Tae‐Hyeon Kim South Korea
Yuki Watanabe Japan
Oğuz H. Elibol United States
Tomoya Tanaka Japan
Feiyang Wang relative to Gunawan Witjaksono Malaysia Gunawan Witjaksono's profile →
Citations per field
00.5×4.3×
Gunawan Witjaksono · 1×
Citations per year

Countries citing papers authored by Feiyang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Feiyang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feiyang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Feiyang Wang. A scholar is included among the top collaborators of Feiyang 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 Feiyang Wang. Feiyang 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
#WorkIndexed citations
1 0
2 0
3 4
4 0
5 0
6 46
7 6
8 4
9 13
10 9
11 13
12 18
13 14
14 8
15 34
16 5
17 11
18 28
19 58
20 44

About Feiyang Wang

Feiyang Wang is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Metals and Alloys, having authored 29 papers that have together received 495 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (9 papers), Advanced biosensing and bioanalysis techniques (6 papers) and Machine Learning in Healthcare (4 papers). The work is most often cited by research in Metals and Alloys (11 citations), Artificial Intelligence (120 citations) and Materials Chemistry (143 citations). Feiyang Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yuexiang Lu, Yueying Liu, Ying Chen, Liuying He, Jingwei Sun, Wenjie Jing, Philip S. Yu, Zhongbao Zhang, Li Sun and Hong‐Hui Wu. Their work appears in journals such as Analytica Chimica Acta, IEEE Transactions on Knowledge and Data Engineering and ACS Sustainable Chemistry & Engineering.

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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