Zelin Peng

453 citations
20 papers · 245 · h-index 8

Impact in

    • Remote-Sensing Image Classification
    • Advanced Neural Network Applications
    • Advanced Image and Video Retrieval Techniques
    • Multimodal Machine Learning Applications
    • Medical Image Segmentation Techniques
    • Image Retrieval and Classification Techniques

Papers in

Zelin Peng

14 papers receiving 238 citations

Peers

Zelin Peng
Comparison fields: 5 of 41
  • Media Technology 69
  • Computer Vision and Pattern Recognition 150
  • Artificial Intelligence 86
  • Neurology 11
  • Computer Graphics and Computer-Aided Design 4
Replace Yuanfeng Ji with:
Yuanfeng Ji China
Liting Zhang China
Jun Lyu China
Ruyi Ji China
Hezheng Lin China
Xiangyun Zhao China
Philip Torr United Kingdom
Dmitrii Marin Canada
Chaotao Ding China
Zelin Peng relative to Yuanfeng Ji China Yuanfeng Ji's profile →
Citations per field
00.5×2.8×
Yuanfeng Ji · 1×
Citations per year

Countries citing papers authored by Zelin Peng

Since Specialization
Citations

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

Fields of papers citing papers by Zelin Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202374
2 202142
3 202328
4 202328
5 202516
6 202415
7 202211
8 20249
9 20247
10 20216
11 20255
12 20252
13 20241
14 20241
15 20250
16 20250
17 20260
18 20200
19 20240
20 20250

About Zelin Peng

Zelin Peng is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Oceanography and Biomedical Engineering, having authored 20 papers that have together received 245 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (7 papers), Advanced Neural Network Applications (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Natural Language Processing Techniques (2 papers), Multimodal Machine Learning Applications (2 papers), Image Retrieval and Classification Techniques (2 papers), Ferroelectric and Negative Capacitance Devices (1 paper) and Advanced Clustering Algorithms Research (1 paper). The work is most often cited by research in Media Technology (69 citations), Computer Vision and Pattern Recognition (150 citations), Artificial Intelligence (86 citations), Neurology (11 citations) and Computer Graphics and Computer-Aided Design (4 citations). Zelin Peng has collaborated with scholars based in China, Australia and United Arab Emirates. Frequent co-authors include Licheng Jiao, Xiangrong Zhang, Guanchun Wang, Lingxi Xie, Wei Shen, Dongsheng Jiang, Qi Tian, Tianyang Zhang, Xiaokang Yang and Xu Tang. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Neural Networks and Learning Systems, ISPRS Journal of Photogrammetry and Remote Sensing, Pattern Recognition and IEEE Transactions on Geoscience and 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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