Huibin Chang

1.8k total citations
47 papers, 1.3k citations indexed

About

Huibin Chang is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Radiation. According to data from OpenAlex, Huibin Chang has authored 47 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 14 papers in Computational Mechanics and 12 papers in Radiation. Recurrent topics in Huibin Chang's work include Advanced X-ray Imaging Techniques (12 papers), Image and Signal Denoising Methods (11 papers) and Sparse and Compressive Sensing Techniques (9 papers). Huibin Chang is often cited by papers focused on Advanced X-ray Imaging Techniques (12 papers), Image and Signal Denoising Methods (11 papers) and Sparse and Compressive Sensing Techniques (9 papers). Huibin Chang collaborates with scholars based in China, United States and Singapore. Huibin Chang's co-authors include Ichiro Takeuchi, X.‐D. Xiang, Tieyong Zeng, Michael K. Ng, Yuping Duan, Yifei Lou, Stefano Marchesini, Jiayin Zhou, Chunlin Wu and Raj Pal Sharma and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Advanced Functional Materials.

In The Last Decade

Huibin Chang

43 papers receiving 1.3k citations

Peers

Huibin Chang
Comparison fields: 5 of 93
  • Materials Chemistry 524
  • Computer Vision and Pattern Recognition 406
  • Electrical and Electronic Engineering 297
  • Electronic, Optical and Magnetic Materials 206
  • Biomedical Engineering 189
Replace Da Teng with:
Da Teng China
Cheng Yang Germany
Tomas Katkus Australia
Benjamin Berkels Germany
Wen Huang China
Benyong Chen China
Muhammad Nadeem Akram Norway
Zhen Xiong China
Susumu Takahashi Japan
Wenfei Zhang China
Da Teng China View profile →
Citations per field, relative to Huibin Chang
Huibin Chang · 1×
Citations per year, relative to Huibin Chang
Huibin Chang · 1×

Countries citing papers authored by Huibin Chang

Since Specialization
Citations

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

Fields of papers citing papers by Huibin Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huibin Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Huibin Chang. A scholar is included among the top collaborators of Huibin Chang 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 Huibin Chang. Huibin Chang 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 0
3 5
4 0
5 0
6 2
7 4
8 8
9 54
10 12
11 22
12 17
13 60
14 10
15 19
16 132
17 4
18 73
19 11
20 105

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026