Xinya Wang

1.4k citations
59 papers · 1.0k · h-index 17

Impact in

Papers in

Xinya Wang

55 papers receiving 1.0k citations

Peers

Xinya Wang
Comparison fields: 5 of 102
  • Media Technology 350
  • Computer Vision and Pattern Recognition 355
  • General Energy 14
  • Management Science and Operations Research 127
  • Inorganic Chemistry 82
Replace Jiao Shi with:
Jiao Shi China
Zhigang Zhou China
Manuel Pegalájar Cuéllar Spain
Chaoyang Zhao China
Li Cao China
Mingxu Wang China
Guohui Zhang China
Junyao Wang China
Pradeep K. Sinha India
Xinya Wang relative to Jiao Shi China Jiao Shi's profile →
Citations per field
00.5×10×14×
Jiao Shi · 1×
Citations per year

Countries citing papers authored by Xinya Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xinya Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021146
2 202198
3 202281
4 202171
5 202364
6 202345
7 201942
8 202040
9 202131
10 202229
11 202124
12 202123
13 202122
14 202322
15 201921
16 202119
17 202217
18 201916
19 202215
20 202114

About Xinya Wang

Xinya Wang is a scholar working on Economics and Econometrics, Computer Vision and Pattern Recognition, Media Technology, Management Science and Operations Research and Mechanical Engineering, having authored 59 papers that have together received 1.0k indexed citations. Recurring topics across this work include Market Dynamics and Volatility (14 papers), Advanced Image Fusion Techniques (10 papers), Advanced Image Processing Techniques (10 papers), Image and Signal Denoising Methods (9 papers), Energy, Environment, Economic Growth (7 papers), Multi-Criteria Decision Making (6 papers), Membrane Separation and Gas Transport (5 papers) and Advanced Vision and Imaging (5 papers). The work is most often cited by research in Media Technology (350 citations), Computer Vision and Pattern Recognition (355 citations), General Energy (14 citations), Management Science and Operations Research (127 citations) and Inorganic Chemistry (82 citations). Xinya Wang has collaborated with scholars based in China, Ireland and Canada. Frequent co-authors include Jiayi Ma, Junjun Jiang, Han Xu, Zhengmin Liu, Пэйдэ Лю, Xiaolan Zhao, Jiucheng Xu, Weiping Ding, Lin Sun and Shupei Huang. Their work appears in journals such as Finance research letters, International Review of Economics & Finance, IEEE/CAA Journal of Automatica Sinica, Sustainability and Energy Economics.

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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