Shuli Cheng

572 citations
36 papers · 330 · h-index 11

Impact in

Papers in

    • Advanced Image and Video Retrieval Techniques 15
    • Advanced Neural Network Applications 10
    • Image Retrieval and Classification Techniques 8
    • Advanced Image Processing Techniques 4
    • Multimodal Machine Learning Applications 4
    • Remote-Sensing Image Classification 7
    • Advanced Image Fusion Techniques 6

Shuli Cheng

30 papers receiving 326 citations

Peers

Shuli Cheng
Comparison fields: 5 of 55
  • Industrial and Manufacturing Engineering 101
  • Computer Vision and Pattern Recognition 130
  • Media Technology 23
  • Neurology 18
  • Artificial Intelligence 66
Replace Felipe André Zeiser with:
Felipe André Zeiser Brazil
Ling Tan China
Steven Q. H. Truong Vietnam
Chanh D. Tr. Nguyen Vietnam
Ibtissam Bakkouri Morocco
Mingye Xie China
Zhengyang Shen China
Mustafa Munir United States
Shuli Cheng relative to Felipe André Zeiser Brazil Felipe André Zeiser's profile →
Citations per field
00.5×5.5×
Felipe André Zeiser · 1×
Citations per year

Countries citing papers authored by Shuli Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Shuli Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Shuli Cheng, 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 Shuli Cheng Line = papers co-authored together Shuli Cheng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202368
2 202342
3 202136
4 202318
5 202116
6 202315
7 202312
8 202311
9 202110
10 202410
11 202510
12 20229
13 20218
14 20228
15 20218
16 20227
17 20216
18 20246
19 20236
20 20225

About Shuli Cheng

Shuli Cheng is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Atmospheric Science, having authored 36 papers that have together received 330 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (15 papers), Advanced Neural Network Applications (10 papers), Image Retrieval and Classification Techniques (8 papers), Remote-Sensing Image Classification (7 papers), Advanced Image Fusion Techniques (6 papers), Remote Sensing and Land Use (4 papers), Advanced Image Processing Techniques (4 papers) and Multimodal Machine Learning Applications (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (101 citations), Computer Vision and Pattern Recognition (130 citations), Media Technology (23 citations), Neurology (18 citations) and Artificial Intelligence (66 citations). Shuli Cheng has collaborated with scholars based in China. Frequent co-authors include Liejun Wang, Shiji Song, Yongming Li, Fang Wu, Yongming Li, Zijian Chao, Wenjing Yang, Haojin Li, Xiaolong Hu and Tao Liu. Their work appears in journals such as Expert Systems with Applications, Sensors, Applied Soft Computing, Remote Sensing and Knowledge-Based Systems.

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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