Jimmy Ren

6.7k total citations · 1 hit paper
56 papers, 3.0k citations indexed

About

Jimmy Ren is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Jimmy Ren has authored 56 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computer Vision and Pattern Recognition, 14 papers in Media Technology and 9 papers in Artificial Intelligence. Recurrent topics in Jimmy Ren's work include Advanced Image Processing Techniques (32 papers), Advanced Vision and Imaging (20 papers) and Image and Signal Denoising Methods (15 papers). Jimmy Ren is often cited by papers focused on Advanced Image Processing Techniques (32 papers), Advanced Vision and Imaging (20 papers) and Image and Signal Denoising Methods (15 papers). Jimmy Ren collaborates with scholars based in China, Hong Kong and United States. Jimmy Ren's co-authors include Xu Li, Jinshan Pan, Jiaya Jia, Ce Liu, Jiawei Zhang, Qiong Yan, Wenxiu Sun, Ming–Hsuan Yang, Rynson W. H. Lau and Yu‐Wing Tai and has published in prestigious journals such as Journal of Clinical Oncology, IEEE Transactions on Pattern Analysis and Machine Intelligence and International Journal of Computer Vision.

In The Last Decade

Jimmy Ren

55 papers receiving 2.9k citations

Hit Papers

Deep Convolutional Neural Network for Image Deconvolution 2014 2026 2018 2022 2014 100 200 300 400 500

Peers

Jimmy Ren
Comparison fields: 5 of 121
  • Computer Vision and Pattern Recognition 2.5k
  • Media Technology 921
  • Artificial Intelligence 330
  • Biomedical Engineering 188
  • Radiology, Nuclear Medicine and Imaging 134
Replace Xintao Wang with:
Xintao Wang China
Muwei Jian China
Weilin Huang China
Quan Huynh‐Thu France
Zhijun Fang China
Wenming Yang China
Xavier Muñoz Spain
Yen‐Yu Lin Taiwan
Bhabatosh Chanda India
Andrew D. Bagdanov Italy
Xintao Wang China View profile →
Citations per field, relative to Jimmy Ren
Jimmy Ren · 1×
Citations per year, relative to Jimmy Ren
Jimmy Ren · 1×

Countries citing papers authored by Jimmy Ren

Since Specialization
Citations

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

Fields of papers citing papers by Jimmy Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jimmy Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Jimmy Ren. A scholar is included among the top collaborators of Jimmy Ren based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jimmy Ren. Jimmy Ren is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 4
3 4
4 31
5 19
6 23
7 135
8 12
9 149
10
Trinity of Pixel Enhancement: a Joint Solution for Demosaicking, Denoising and Super-Resolution.
17
11 67
12 38
13 92
14 251
15 232
16
Deep Edge-Aware Filters
92
17
Shepard convolutional neural networks
96
18
Deep Convolutional Neural Network for Image Deconvolution breakdown →
534
19
EFFECTIVE SENTIMENT ANALYSIS OF CORPORATE FINANCIAL REPORTS
4
20
When multivariate forecasting meets unsupervised feature learning: Towards a novel anomaly detection framework for decision support
1

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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