Cuiping Shi

2.2k citations
111 papers · 1.6k indexed · h-index 23

Impact in

    • Remote-Sensing Image Classification
    • Advanced Image Fusion Techniques
    • Collagen: Extraction and Characterization
    • Electrospun Nanofibers in Biomedical Applications

Papers in

Cuiping Shi

98 papers receiving 1.6k citations

Peers

Cuiping Shi
Comparison fields: 5 of 129
  • Media Technology 493
  • Biomaterials 313
  • Food Science 325
  • Computer Vision and Pattern Recognition 336
  • Atmospheric Science 265
Replace Dalong Li with:
Dalong Li China
Bruce Grieve United Kingdom
Yuan Yuan China
Rui Shen China
Yande Liu China
Dongyi Wang United States
Binqiang Wang China
Kohei Watanabe Japan
Wenchao Zhang China
Khalid Mahmood Arif New Zealand
Cuiping Shi relative to Dalong Li China Dalong Li's profile →
Citations per field
00.5×7.8×
Dalong Li · 1×
Citations per year

Countries citing papers authored by Cuiping Shi

Since Specialization
Citations

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

Fields of papers citing papers by Cuiping Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019110
2 201993
3 202080
4 201979
5 202170
6 201852
7 202148
8 202348
9 201947
10 202045
11 201838
12 202238
13 202337
14 201937
15 202137
16 202230
17 202229
18 202226
19 202326
20 202325

About Cuiping Shi

Cuiping Shi is a scholar working on Media Technology, Atmospheric Science, Computer Vision and Pattern Recognition, Food Science and Biomedical Engineering, having authored 111 papers that have together received 1.6k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (48 papers), Remote Sensing and Land Use (36 papers), Advanced Image Fusion Techniques (30 papers), Proteins in Food Systems (16 papers), Microencapsulation and Drying Processes (11 papers), Advanced Data Compression Techniques (9 papers), Image and Signal Denoising Methods (9 papers) and Collagen: Extraction and Characterization (8 papers). The work is most often cited by research in Media Technology (493 citations), Biomaterials (313 citations), Food Science (325 citations), Computer Vision and Pattern Recognition (336 citations) and Atmospheric Science (265 citations). Cuiping Shi has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Liguo Wang, Jian Zhong, Xichang Wang, Zi Ye, Mengzhen Ding, Ruirui Qiao, Tao Wang, Yiqun Qiao, Tianyu Zhang and Tao Wang. Their work appears in journals such as Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Food Hydrocolloids and International Journal of Remote Sensing.

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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