Feiyang Wang

55 total papers · 801 total citations
29 papers, 484 citations indexed

About

Feiyang Wang is a scholar working on Artificial Intelligence, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Feiyang Wang has authored 29 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 6 papers in Molecular Biology and 6 papers in Materials Chemistry. Recurrent topics in Feiyang Wang's work include Advanced Graph Neural Networks (9 papers), Advanced biosensing and bioanalysis techniques (6 papers) and Machine Learning in Healthcare (4 papers). Feiyang Wang is often cited by papers focused on Advanced Graph Neural Networks (9 papers), Advanced biosensing and bioanalysis techniques (6 papers) and Machine Learning in Healthcare (4 papers). Feiyang Wang collaborates with scholars based in China, United States and United Kingdom. Feiyang Wang's co-authors include Yuexiang Lu, Yueying Liu, Ying Chen, Liuying He, Jingwei Sun, Wenjie Jing, Li Sun, Philip S. Yu, Zhongbao Zhang and Shuize Wang and has published in prestigious journals such as Analytica Chimica Acta, IEEE Transactions on Knowledge and Data Engineering and ACS Sustainable Chemistry & Engineering.

In The Last Decade

Feiyang Wang

25 papers receiving 475 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Feiyang Wang	139	135	117	112	61	29	484
Zhisheng Chen	73 0.5×	126 0.9×	40 0.3×	83 0.7×	30 0.5×	47	439
Gang Lu	48 0.3×	42 0.3×	119 1.0×	76 0.7×	26 0.4×	27	465
Chunnan Wang	52 0.4×	85 0.6×	84 0.7×	184 1.6×	36 0.6×	48	469
Jing Liu	77 0.6×	240 1.8×	63 0.5×	148 1.3×	18 0.3×	27	467
Shuang Ye	175 1.3×	42 0.3×	43 0.4×	105 0.9×	105 1.7×	44	509
Chengcheng Sun	34 0.2×	53 0.4×	56 0.5×	139 1.2×	32 0.5×	24	406
John Z. Zhang	118 0.8×	32 0.2×	58 0.5×	99 0.9×	58 1.0×	47	531
Jonathan Grizou	217 1.6×	51 0.4×	49 0.4×	143 1.3×	30 0.5×	17	490
Chunfang Liu	39 0.3×	27 0.2×	92 0.8×	122 1.1×	35 0.6×	57	522
Pranav Shetty	265 1.9×	52 0.4×	88 0.8×	79 0.7×	36 0.6×	16	447

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

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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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