Haijin Zeng

458 citations
24 papers · 262 indexed · h-index 10
Topics
Image and Signal Denoising Methods (14 papers)Sparse and Compressive Sensing Techniques (11 papers)Advanced Image Fusion Techniques (9 papers)
Partner nations
ChinaBelgiumNetherlands

In The Last Decade

Haijin Zeng

21 papers receiving 257 citations

Peers

Haijin Zeng
Comparison fields: 5 of 50
  • Computer Vision and Pattern Recognition 151
  • Media Technology 128
  • Computational Mechanics 85
  • Computational Mathematics 44
  • Artificial Intelligence 29
Replace Yi Peng with:
Yi Peng China
Hong-Xia Dou China
Joan Duran Spain
Ruiying Lu China
Giannis Chantas Greece
Inchang Choi South Korea
Mete Ahishali Finland
Takuya Narihira United States
Longcun Jin China
Xuli Zong United States
Haijin Zeng relative to Yi Peng China Yi Peng's profile →
Citations per field
00.5×2.9×
Yi Peng · 1×
Citations per year

Countries citing papers authored by Haijin Zeng

Since Specialization
Citations

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

Fields of papers citing papers by Haijin Zeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haijin Zeng

This figure shows the co-authorship network connecting the top 25 collaborators of Haijin Zeng. A scholar is included among the top collaborators of Haijin Zeng 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 Haijin Zeng. Haijin Zeng 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
#WorkIndexed citations
1 0
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4 5
5 5
6 7
7 16
8 8
9 31
10 27
11 5
12 7
13 15
14 19
15 0
16 13
17
Enhanced nonconvex low-rank representation for tensor completion
2
18 39
19 17
20 1

About Haijin Zeng

Haijin Zeng is a scholar working on Computational Mathematics, Media Technology and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 262 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (14 papers), Sparse and Compressive Sensing Techniques (11 papers) and Advanced Image Fusion Techniques (9 papers). The work is most often cited by research in Computational Mathematics (44 citations), Media Technology (128 citations) and Computer Vision and Pattern Recognition (151 citations). Haijin Zeng has collaborated with scholars based in China, Belgium and Netherlands. Frequent co-authors include Jifeng Ning, Yongyong Chen, Wilfried Philips, Hiêp Luong, Shaoguang Huang, Hao Qin, Guangming Lu, Hongyan Zhang, Jize Xue and Yuan Zhao. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and IEEE Access.

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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