Yawen Wu

644 total citations
31 papers, 337 citations indexed

About

Yawen Wu is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Yawen Wu has authored 31 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electrical and Electronic Engineering, 11 papers in Computer Vision and Pattern Recognition and 11 papers in Artificial Intelligence. Recurrent topics in Yawen Wu's work include Energy Harvesting in Wireless Networks (8 papers), Advanced Memory and Neural Computing (6 papers) and CCD and CMOS Imaging Sensors (5 papers). Yawen Wu is often cited by papers focused on Energy Harvesting in Wireless Networks (8 papers), Advanced Memory and Neural Computing (6 papers) and CCD and CMOS Imaging Sensors (5 papers). Yawen Wu collaborates with scholars based in United States, China and Hong Kong. Yawen Wu's co-authors include Jingtong Hu, Yiyu Shi, Zhepeng Wang, Xinghao Ding, Dewen Zeng, Congbo Cai, Xulong Tang, Yue Huang, Peipei Zhou and Xinyi Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Magnetic Resonance in Medicine and Neurocomputing.

In The Last Decade

Yawen Wu

29 papers receiving 330 citations

Peers

Yawen Wu
Comparison fields: 5 of 78
  • Radiology, Nuclear Medicine and Imaging 122
  • Computer Vision and Pattern Recognition 94
  • Artificial Intelligence 89
  • Electrical and Electronic Engineering 89
  • Biomedical Engineering 38
Replace Markus Nagel with:
Markus Nagel Germany
Siddhartha Nath India
Mohammad Eslami Iran
Ehsan Saeedi Australia
Ching-Hwa Cheng Taiwan
Sonali Sonali India
Shoaib Azmat Pakistan
Ruixuan Wang China
Liangmin Wang China
Jackie Ma Germany
Markus Nagel Germany View profile →
Citations per field, relative to Yawen Wu
Yawen Wu · 1×
Citations per year, relative to Yawen Wu
Yawen Wu · 1×

Countries citing papers authored by Yawen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yawen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yawen Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yawen Wu. A scholar is included among the top collaborators of Yawen Wu 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 Yawen Wu. Yawen Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 3
3 1
4 2
5 7
6 2
7 44
8 1
9 1
10 12
11 10
12 5
13 10
14 7
15 19
16 14
17 10
18 63
19 4
20 2

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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