Ya Wang

883 citations
43 papers · 714 · h-index 12

Impact in

Papers in

Ya Wang

40 papers receiving 705 citations

Peers

Ya Wang
Comparison fields: 5 of 75
  • Renewable Energy, Sustainability and the Environment 134
  • Automotive Engineering 73
  • Electrical and Electronic Engineering 325
  • Aerospace Engineering 113
  • Computer Vision and Pattern Recognition 85
Replace Jun Shu with:
Jun Shu China
Menggang Li China
K. Uma Rao India
Kyusung Kim Japan
Yu-Kai Lin Taiwan
Zhiliang Wu China
Chang‐Hyun Park South Korea
Yifeng Liu China
Guoqing Xu China
Ya Wang relative to Jun Shu China Jun Shu's profile →
Citations per field
00.5×4.7×
Jun Shu · 1×
Citations per year

Countries citing papers authored by Ya Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ya Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ya 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 Ya Wang Line = papers co-authored together Ya Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016155
2 2020117
3 202052
4 202152
5 202149
6 202043
7 201636
8 201928
9 201627
10 202024
11 201518
12 202116
13 201411
14 20229
15 20159
16 20178
17 20257
18 20236
19 20196
20 20146

About Ya Wang

Ya Wang is a scholar working on Electrical and Electronic Engineering, Mechanics of Materials, Materials Chemistry, Aerospace Engineering and Civil and Structural Engineering, having authored 43 papers that have together received 714 indexed citations. Recurring topics across this work include Advanced Battery Materials and Technologies (4 papers), Advanced Battery Technologies Research (3 papers), Advanced Photocatalysis Techniques (3 papers), Geoscience and Mining Technology (3 papers), Advancements in Battery Materials (3 papers), Metal and Thin Film Mechanics (3 papers), Mechanical Behavior of Composites (3 papers) and Innovative concrete reinforcement materials (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (134 citations), Automotive Engineering (73 citations), Electrical and Electronic Engineering (325 citations), Aerospace Engineering (113 citations) and Computer Vision and Pattern Recognition (85 citations). Ya Wang has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Gang Liu, Douglas R. MacFarlane, Xiaodong Hao, Hui Dou, Bing Ding, Zhi Chang, Jie Wang, Xi Zhu, Wenbo Du and Tong Guo. Their work appears in journals such as Polymer Composites, Applied Sciences, Materials Characterization, International Journal of Hydrogen Energy and ACM Transactions on Design Automation of Electronic Systems.

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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