Ting Chen

2.0k citations
111 papers · 1.1k · h-index 19

Impact in

    • Advanced Image Fusion Techniques
    • Remote-Sensing Image Classification
    • Image Enhancement Techniques
    • Advanced Image and Video Retrieval Techniques
    • Advanced Neural Network Applications
    • Image and Signal Denoising Methods
    • Video Surveillance and Tracking Methods

Papers in

    • Image Enhancement Techniques 14
    • Advanced Image and Video Retrieval Techniques 12
    • Image and Signal Denoising Methods 9
    • Advanced Neural Network Applications 8
    • Advanced Image Processing Techniques 8
    • Image Retrieval and Classification Techniques 7
    • Advanced Vision and Imaging 6
    • Advanced Image Fusion Techniques 12

Ting Chen

97 papers receiving 1.1k citations

Peers

Ting Chen
Comparison fields: 5 of 131
  • Media Technology 247
  • Computer Vision and Pattern Recognition 419
  • Soil Science 54
  • Pollution 61
  • Plant Science 166
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Citations per field
00.5×5.7×
He Huang · 1×
Citations per year

Countries citing papers authored by Ting Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ting Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ting Chen, 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 Ting Chen Line = papers co-authored together Ting Chen 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 202379
2 201769
3 202351
4 202349
5 201149
6 202345
7 202345
8 201036
9 201733
10 202333
11 201126
12 201524
13 202022
14 202022
15 201721
16 202320
17 202420
18 202120
19 202418
20 201917

About Ting Chen

Ting Chen is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Plant Science, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 111 papers that have together received 1.1k indexed citations. Recurring topics across this work include Image Enhancement Techniques (14 papers), Advanced Image Fusion Techniques (12 papers), Advanced Image and Video Retrieval Techniques (12 papers), Image and Signal Denoising Methods (9 papers), Advanced Neural Network Applications (8 papers), Advanced Image Processing Techniques (8 papers), Image Retrieval and Classification Techniques (7 papers) and Advanced Vision and Imaging (6 papers). The work is most often cited by research in Media Technology (247 citations), Computer Vision and Pattern Recognition (419 citations), Soil Science (54 citations), Pollution (61 citations) and Plant Science (166 citations). Ting Chen has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Tao Gao, Jing Zhang, Yuanbo Wen, Tao Gao, Wenxiong Lin, Shaohui Mei, Sheng Lin, Zixiang Liu, Xiangmo Zhao and Kaihao Zhang. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access, Pattern Recognition, Plant Growth Regulation and International Journal of Molecular Sciences.

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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