Kaiqiang Wang

1.6k total citations · 2 hit papers
33 papers, 1.1k citations indexed

About

Kaiqiang Wang is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Media Technology. According to data from OpenAlex, Kaiqiang Wang has authored 33 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 16 papers in Atomic and Molecular Physics, and Optics and 10 papers in Media Technology. Recurrent topics in Kaiqiang Wang's work include Digital Holography and Microscopy (14 papers), Optical measurement and interference techniques (9 papers) and Advanced X-ray Imaging Techniques (8 papers). Kaiqiang Wang is often cited by papers focused on Digital Holography and Microscopy (14 papers), Optical measurement and interference techniques (9 papers) and Advanced X-ray Imaging Techniques (8 papers). Kaiqiang Wang collaborates with scholars based in China, Singapore and Hong Kong. Kaiqiang Wang's co-authors include Jianglei Di, Jianlin Zhao, Qian Kemao, Ying Li, Jiazhen Dou, Zhenbo Ren, Ju Tang, Edmund Y. Lam, Xiaoyan Wu and Chaojie Ma and has published in prestigious journals such as Optics Letters, Optics Express and The ISME Journal.

In The Last Decade

Kaiqiang Wang

30 papers receiving 999 citations

Hit Papers

One-step robust deep learning phase unwrapping 2019 2026 2021 2023 2019 2024 50 100 150 200 250

Peers

Kaiqiang Wang
Comparison fields: 5 of 79
  • Computer Vision and Pattern Recognition 633
  • Atomic and Molecular Physics, and Optics 531
  • Media Technology 341
  • Radiation 224
  • Biomedical Engineering 172
Replace Manoj Kumar with:
Manoj Kumar India
Zhenbo Ren China
Cheng Shen China
Donald J. Bone Australia
Werner P. O. Jueptner Germany
F. J. Cuevas Mexico
Bindang Xue China
Alexandre Goy Switzerland
Manoj Kumar India View profile →
Citations per field, relative to Kaiqiang Wang
Kaiqiang Wang · 1×
Citations per year, relative to Kaiqiang Wang
Kaiqiang Wang · 1×

Countries citing papers authored by Kaiqiang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Kaiqiang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaiqiang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Kaiqiang Wang. A scholar is included among the top collaborators of Kaiqiang Wang 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 Kaiqiang Wang. Kaiqiang Wang 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
On the use of deep learning for phase recovery breakdown →
104
3 0
4 0
5 7
6 1
7 23
8 6
9 19
10 5
11 30
12 9
13 1
14 152
15 20
16 52
17 1
18 14
19 1
20 44

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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