Wang Xin-xi

921 citations
32 papers · 603 · h-index 11

Impact in

Papers in

Wang Xin-xi

30 papers receiving 578 citations

Peers

Wang Xin-xi
Comparison fields: 5 of 102
  • Signal Processing 185
  • Information Systems 289
  • Computer Vision and Pattern Recognition 235
  • Transportation 36
  • Artificial Intelligence 167
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Citations per year

Countries citing papers authored by Wang Xin-xi

Since Specialization
Citations

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

Fields of papers citing papers by Wang Xin-xi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014238
2 2012141
3 201456
4 202023
5 201718
6 202015
7 201113
8 201413
9 201012
10 202011
11 201010
12
The Mudstone Sedimentary Environment and Provenance Analysis Based on the Geochemical Evidence of Rare Earth Elements:Take Chang 9 Oil-bearing Layer in Longdong Area of Ordos Basin as an Example
20147
13 20127
14 20106
15 20224
16 20214
17
SMOS satellite salinity data accuracy assessment in the China coastal areas
20133
18 20203
19
Mechanisms and Mechanical Properties of the Interface Between SiC and SiC By Direct Bonding
20152
20
Assessment of Aquarius/SAC-D salinity data accuracy in the South China Sea
20132

About Wang Xin-xi

Wang Xin-xi is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Electrical and Electronic Engineering, Information Systems and Oceanography, having authored 32 papers that have together received 603 indexed citations. Recurring topics across this work include Music and Audio Processing (6 papers), Advancements in Battery Materials (5 papers), Music Technology and Sound Studies (4 papers), Advanced Battery Materials and Technologies (4 papers), Advanced battery technologies research (4 papers), Recommender Systems and Techniques (3 papers), Video Analysis and Summarization (2 papers) and Advanced Bandit Algorithms Research (2 papers). The work is most often cited by research in Signal Processing (185 citations), Information Systems (289 citations), Computer Vision and Pattern Recognition (235 citations), Transportation (36 citations) and Artificial Intelligence (167 citations). Wang Xin-xi has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Ye Wang, David S. Rosenblum, Yi Wang, David Hsu, Xiaoshi Lang, Kedi Cai, Qingguo Zhang, Haiyan Jiang, Lan Li and Shengdong Zhao. Their work appears in journals such as International Journal of Energy Research, Weather and Forecasting, Molecular and Cellular Biochemistry, Journal of Climate and Journal of Alloys and Compounds.

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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