Jinchang Ren

13.2k total citations · 9 hit papers
306 papers, 9.0k citations indexed

About

Jinchang Ren is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Atmospheric Science. According to data from OpenAlex, Jinchang Ren has authored 306 papers receiving a total of 9.0k indexed citations (citations by other indexed papers that have themselves been cited), including 157 papers in Computer Vision and Pattern Recognition, 118 papers in Media Technology and 54 papers in Atmospheric Science. Recurrent topics in Jinchang Ren's work include Remote-Sensing Image Classification (91 papers), Advanced Image Fusion Techniques (54 papers) and Remote Sensing and Land Use (46 papers). Jinchang Ren is often cited by papers focused on Remote-Sensing Image Classification (91 papers), Advanced Image Fusion Techniques (54 papers) and Remote Sensing and Land Use (46 papers). Jinchang Ren collaborates with scholars based in United Kingdom, China and Australia. Jinchang Ren's co-authors include Stephen Marshall, Huimin Zhao, Jaime Zabalza, Junwei Han, Jianmin Jiang, Lei Guo, Genyun Sun, Gong Cheng, Dingwen Zhang and Xiuping Jia and has published in prestigious journals such as Scientific Reports, Food Chemistry and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Jinchang Ren

291 papers receiving 8.7k citations

Hit Papers

Object Detection in Optical Remote Sensing Images Based o... 2014 2026 2018 2022 2014 2019 2014 2019 2015 100 200 300 400 500

Peers

Jinchang Ren
Comparison fields: 5 of 190
  • Computer Vision and Pattern Recognition 3.6k
  • Media Technology 3.6k
  • Artificial Intelligence 1.7k
  • Atmospheric Science 1.7k
  • Biomedical Engineering 727
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Citations per field, relative to Jinchang Ren
Jinchang Ren · 1×
Citations per year, relative to Jinchang Ren
Jinchang Ren · 1×

Countries citing papers authored by Jinchang Ren

Since Specialization
Citations

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

Fields of papers citing papers by Jinchang Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinchang Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Jinchang Ren. A scholar is included among the top collaborators of Jinchang 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 Jinchang Ren. Jinchang 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 0
3 1
4 1
5
DICAM: Deep Inception and Channel-wise Attention Modules for underwater image enhancement breakdown →
49
6 9
7 2
8 2
9 49
10 12
11 7
12 6
13 25
14 14
15 11
16 14
17 25
18 18
19
Sparse representation-based augmented multinomial logistic extreme learning machine with weighted composite features for spectral-spatial classification of hyperspectral images
28
20
Adaptive clustering of spectral components for band selection in hyperspectral imagery
5

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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