Kecheng Chen

1.0k citations
35 papers · 663 indexed · 1 hit paper · h-index 12

Impact in

Papers in

Kecheng Chen

31 papers receiving 650 citations

Hit Papers

TEMDnet: A Novel Deep Denoising Network for Transient Electromagnetic Signal With Signal-to-Image Transformation 2020 · 347 citations
3472020202620222024100200300

Peers

Kecheng Chen
Comparison fields: 5 of 119
  • Media Technology 208
  • Computer Vision and Pattern Recognition 154
  • Atmospheric Science 121
  • Rehabilitation 41
  • Geophysics 68
Replace Zhiqi Zhang with:
Zhiqi Zhang China
Yuxuan Li China
Lian Liu China
Shilpa Suresh India
José Fonseca Portugal
Zhou Rong China
Ziyang Yuan China
Zhengtao Li China
Kecheng Chen relative to Zhiqi Zhang China Zhiqi Zhang's profile →
Citations per field
00.5×10×15×20.5×
Zhiqi Zhang · 1×
Citations per year

Countries citing papers authored by Kecheng Chen

Since Specialization
Citations

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

Fields of papers citing papers by Kecheng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20244
3 20242
4 20247
5 20242
6 202411
7 202413
8 20230
9 202311
10 202313
11 202315
12 202269
13 202245
14 202211
15 20218
16 20216
17 20205
18
TEMDnet: A Novel Deep Denoising Network for Transient Electromagnetic Signal With Signal-to-Image Transformation
Hit paper breakdown →
2020347
19 201927
20 20181

About Kecheng Chen

Kecheng Chen is a scholar working on Geophysics, Computer Vision and Pattern Recognition, Rehabilitation, Radiology, Nuclear Medicine and Imaging and Media Technology, having authored 35 papers that have together received 663 indexed citations. Recurring topics across this work include Seismic Imaging and Inversion Techniques (6 papers), Image and Signal Denoising Methods (6 papers), Medical Imaging Techniques and Applications (5 papers), Geophysical and Geoelectrical Methods (4 papers), Domain Adaptation and Few-Shot Learning (3 papers), Geophysical Methods and Applications (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Advanced X-ray and CT Imaging (2 papers). The work is most often cited by research in Media Technology (208 citations), Computer Vision and Pattern Recognition (154 citations), Atmospheric Science (121 citations), Rehabilitation (41 citations) and Geophysics (68 citations). Kecheng Chen has collaborated with scholars based in China, Hong Kong and Germany. Frequent co-authors include Xiaorong Pu, Yazhou Ren, Fanqiang Lin, Saimin Zhang, Hang Qiu, Chuanbo Ding, Wencong Liu, Qiteng Ding, Jinping Zhang and Shuwen Sun. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Computers in Biology and Medicine, Biomedicine & Pharmacotherapy, Poultry Science and Frontiers in Veterinary Science.

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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