Yaxin Wang

63 total papers · 422 total citations
32 papers, 257 citations indexed

About

Yaxin Wang is a scholar working on Electrical and Electronic Engineering, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Yaxin Wang has authored 32 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Electrical and Electronic Engineering, 8 papers in Molecular Biology and 6 papers in Materials Chemistry. Recurrent topics in Yaxin Wang's work include Machine Learning in Materials Science (3 papers), Advancements in Battery Materials (3 papers) and Supercapacitor Materials and Fabrication (2 papers). Yaxin Wang is often cited by papers focused on Machine Learning in Materials Science (3 papers), Advancements in Battery Materials (3 papers) and Supercapacitor Materials and Fabrication (2 papers). Yaxin Wang collaborates with scholars based in China, United States and Ukraine. Yaxin Wang's co-authors include Shaorui Sun, Yunjiang Zhang, Shuyuan Li, Huimin Wang, Bin Cui, Qing Yang, Xiaoyin Zhao, Xiuhong Liu, Runyu Liu and Wenjun Wu and has published in prestigious journals such as Biomaterials, Advanced Energy Materials and Bioresource Technology.

In The Last Decade

Yaxin Wang

26 papers receiving 251 citations

Author Peers

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

Author						Papers	Cites
Yaxin Wang	85	82	51	48	33	32	257
Ntalane Sello Seroka	125 1.5×	74 0.9×	14 0.3×	37 0.8×	12 0.4×	23	274
Ze Lv	72 0.8×	90 1.1×	17 0.3×	115 2.4×	33 1.0×	24	311
Zhichao Wu	56 0.7×	86 1.0×	22 0.4×	41 0.9×	30 0.9×	18	307
Hui Guo	37 0.4×	89 1.1×	33 0.6×	28 0.6×	19 0.6×	30	312
Shuo Chen	89 1.0×	66 0.8×	19 0.4×	39 0.8×	25 0.8×	22	331
Jichen Zhang	58 0.7×	148 1.8×	46 0.9×	49 1.0×	15 0.5×	24	317
Hongpeng Ma	32 0.4×	59 0.7×	30 0.6×	47 1.0×	30 0.9×	37	319
Kelin Li	122 1.4×	104 1.3×	13 0.3×	44 0.9×	15 0.5×	33	303
Kexin Lin	78 0.9×	28 0.3×	37 0.7×	31 0.6×	29 0.9×	36	287
Kainaubek Toshtay	59 0.7×	26 0.3×	40 0.8×	19 0.4×	30 0.9×	33	224

Countries citing papers authored by Yaxin Wang

Since Specialization

Citations

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

Fields of papers citing papers by Yaxin Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaxin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yaxin Wang. A scholar is included among the top collaborators of Yaxin 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 Yaxin Wang. Yaxin 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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