Weizhao Chen

26 papers receiving 267 citations

Peers

Weizhao Chen
Comparison fields: 5 of 70
  • Media Technology 53
  • Computer Vision and Pattern Recognition 45
  • Condensed Matter Physics 24
  • Atomic and Molecular Physics, and Optics 59
  • Electronic, Optical and Magnetic Materials 33
Replace Rik Das with:
Rik Das India
Hong Wen China
Yuan Fang China
Xiaojin Ding China
Rui Jiang China
S. Noguchi Japan
Chengchao Shen China
Mikio Takagi Japan
Zhi He China
Da Zhang China
Weizhao Chen relative to Rik Das India Rik Das's profile →
Citations per field
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Citations per year

Countries citing papers authored by Weizhao Chen

Since Specialization
Citations

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

Fields of papers citing papers by Weizhao Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202233
2 201933
3 201825
4 202023
5 201821
6 202220
7 202215
8 202315
9 202212
10 202112
11 202310
12 20229
13 20197
14 20217
15 20236
16 20176
17 20185
18 20173
19 20172
20 20222

About Weizhao Chen

Weizhao Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, Computer Networks and Communications and Condensed Matter Physics, having authored 27 papers that have together received 272 indexed citations. Recurring topics across this work include Topological Materials and Phenomena (4 papers), Remote-Sensing Image Classification (4 papers), Advanced Condensed Matter Physics (3 papers), Cloud Computing and Resource Management (3 papers), Graphene research and applications (3 papers), Advanced Neural Network Applications (2 papers), Machine Learning and ELM (2 papers) and Quantum and electron transport phenomena (2 papers). The work is most often cited by research in Media Technology (53 citations), Computer Vision and Pattern Recognition (45 citations), Condensed Matter Physics (24 citations), Atomic and Molecular Physics, and Optics (59 citations) and Electronic, Optical and Magnetic Materials (33 citations). Weizhao Chen has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Jinchang Ren, Zhijing Yang, Qihang Liu, Liang Bao, Jiayu Li, Mingqiang Gu, Xin Liu, Guojun Han, Jiajun Zhuang and Chaojun Hou. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Physical Review Applied, National Science Review, Science Advances and Physical Review 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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