Haiyan Shi

1.7k total citations
65 papers, 1.3k citations indexed

About

Haiyan Shi is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Haiyan Shi has authored 65 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 20 papers in Electrical and Electronic Engineering and 13 papers in Biomedical Engineering. Recurrent topics in Haiyan Shi's work include Image Enhancement Techniques (19 papers), Advanced Image Processing Techniques (14 papers) and Advanced Image Fusion Techniques (8 papers). Haiyan Shi is often cited by papers focused on Image Enhancement Techniques (19 papers), Advanced Image Processing Techniques (14 papers) and Advanced Image Fusion Techniques (8 papers). Haiyan Shi collaborates with scholars based in China, Australia and Taiwan. Haiyan Shi's co-authors include Ngaiming Kwok, Wanliang Wang, Shengyong Chen, Md Arifur Rahman, Guannan Jiang, Ying-Hao Yu, Yong Liu, Tonghai Wu, Shilong Liu and Stephen Lin and has published in prestigious journals such as Scientific Reports, ACS Applied Materials & Interfaces and Inorganic Chemistry.

In The Last Decade

Haiyan Shi

62 papers receiving 1.3k citations

Peers

Haiyan Shi
Comparison fields: 5 of 120
  • Computer Vision and Pattern Recognition 398
  • Biomedical Engineering 339
  • Electrical and Electronic Engineering 305
  • Media Technology 221
  • Computer Networks and Communications 201
Replace Cheng Peng with:
Cheng Peng United States
Zhonghua Li China
Xiaolin Zhang China
Jintao Li China
Wenlong Song China
Yun Gu China
Tianyi Wang China
Daewon Lee South Korea
Wu Wang China
Cheng Peng United States View profile →
Citations per field, relative to Haiyan Shi
Haiyan Shi · 1×
Citations per year, relative to Haiyan Shi
Haiyan Shi · 1×

Countries citing papers authored by Haiyan Shi

Since Specialization
Citations

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

Fields of papers citing papers by Haiyan Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiyan Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Haiyan Shi. A scholar is included among the top collaborators of Haiyan Shi 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 Haiyan Shi. Haiyan Shi 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 1
2 0
3 3
4 1
5 1
6 0
7 2
8 42
9 1
10 41
11 9
12 5
13 26
14 14
15 25
16 0
17 2
18 4
19 106
20 50

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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