Junwei Yang

769 citations
36 papers · 398 · 1 hit paper · h-index 10

Impact in

Papers in

Junwei Yang

31 papers receiving 384 citations

Junwei Yang's Hit Papers

A Comprehensive Survey on Deep Graph Representation Learning 2024 · 138 citations
1380+1Years since publication4080120

Peers

Junwei Yang
Comparison fields: 5 of 92
  • Artificial Intelligence 143
  • Signal Processing 43
  • Computer Vision and Pattern Recognition 79
  • Condensed Matter Physics 29
  • Radiology, Nuclear Medicine and Imaging 48
Replace Lin Cao with:
Lin Cao China
Ye Lü China
Kyungwoo Lee South Korea
Soumen Banerjee India
Liangmin Wang China
Xiaohui Liu China
Hongming Yang Netherlands
Shan Ai China
Sohaib Majzoub United Arab Emirates
Junwei Yang relative to Lin Cao China Lin Cao's profile →
Citations per field
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Lin Cao · 1×
Citations per year

Countries citing papers authored by Junwei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Junwei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Comprehensive Survey on Deep Graph Representation Learning
Hit paper breakdown →
2024138
2 200457
3 202130
4 201628
5 200922
6 202115
7 202212
8 202212
9 20229
10 20059
11 20238
12 20157
13 20167
14 20086
15 20165
16 20244
17 20144
18 20233
19 20153
20 20053

About Junwei Yang

Junwei Yang is a scholar working on Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications, having authored 36 papers that have together received 398 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (5 papers), Medical Imaging Techniques and Applications (5 papers), GaN-based semiconductor devices and materials (3 papers), Organic Light-Emitting Diodes Research (3 papers), Organic Electronics and Photovoltaics (3 papers), Speech Recognition and Synthesis (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Image Processing Techniques and Applications (2 papers). The work is most often cited by research in Artificial Intelligence (143 citations), Signal Processing (43 citations), Computer Vision and Pattern Recognition (79 citations), Condensed Matter Physics (29 citations) and Radiology, Nuclear Medicine and Imaging (48 citations). Junwei Yang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Wei Wang, Píetro Lió, Jingyang Yuan, Yifan Wang, Wei Ju, Ziyue Qiao, Xiao Luo, Qingqing Long, Yiyang Gu and Zhiping Xiao. Their work appears in journals such as IEEE Transactions on Medical Imaging, Journal of Semiconductors, Energy, Cancer Research and International Journal of Nephrology and Renovascular Disease.

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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