Yuxuan Wang

1.2k citations
32 papers · 755 indexed · h-index 15

Yuxuan Wang

27 papers receiving 716 citations

Peers

Yuxuan Wang
Comparison fields: 5 of 63
  • Signal Processing 472
  • Computer Vision and Pattern Recognition 227
  • Developmental Biology 21
  • Artificial Intelligence 309
  • Computational Mechanics 174
Replace Katsutoshi Itoyama with:
Katsutoshi Itoyama Japan
Naoya Takahashi Japan
Andong Li China
Yoko Sasaki Japan
Jürgen T. Geiger Germany
Dimitrios Giannoulis United Kingdom
Alexey Ozerov France
Dimitrios Dimitriadis United States
Chen-Wei Xie China
Giambattista Parascandolo Finland
Yuxuan Wang relative to Katsutoshi Itoyama Japan Katsutoshi Itoyama's profile →
Citations per field
00.5×1.5×2.0×
Katsutoshi Itoyama · 1×
Citations per year

Countries citing papers authored by Yuxuan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yuxuan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20230
3 202317
4 20230
5 20222
6 202291
7 202226
8 202123
9 20212
10 20210
11
Investigation of Contributing Factors to Travel Demand of Free-floating Bike Sharing: A Geographically Weighted Regression Approach
20190
12 201650
13 20164
14 201622
15 201572
16 201420
17 201427
18 20135
19 200869
20 20089

About Yuxuan Wang

Yuxuan Wang is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Transportation, having authored 32 papers that have together received 755 indexed citations. Recurring topics across this work include Speech and Audio Processing (14 papers), Music and Audio Processing (7 papers), Advanced Adaptive Filtering Techniques (6 papers), Speech Recognition and Synthesis (6 papers), Video Surveillance and Tracking Methods (5 papers), Advanced Neural Network Applications (4 papers), Remote Sensing and LiDAR Applications (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Signal Processing (472 citations), Computer Vision and Pattern Recognition (227 citations) and Developmental Biology (21 citations). Yuxuan Wang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include DeLiang Wang, Kun Han, Donald S. Williamson, Heng-Da Cheng, Juan Shan, Rif A. Saurous, Pascal Getreuer, Jitong Chen, T. A. Hughes and Richard F. Lyon. Their work appears in journals such as Remote Sensing, Applied Optics, Speech Communication, IEEE Access and IEEE Geoscience and Remote Sensing Letters.

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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