Jinchang Ren
About
In The Last Decade
Jinchang Ren
291 papers receiving 8.7k citations
Hit Papers
Peers
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
Countries citing papers authored by Jinchang Ren
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
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
| # | 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.