Songlin Jin

415 citations
18 papers · 271 · 1 hit paper · h-index 8

Impact in

Papers in

Songlin Jin

13 papers receiving 264 citations

Songlin Jin's Hit Papers

Underwater Image Enhancement via Piecewise Color Correction and Dual Prior Optimized Contrast Enhancement 2023 · 134 citations
1340+1+2Years since publication4080120

Peers

Songlin Jin
Comparison fields: 5 of 52
  • Media Technology 99
  • Computer Vision and Pattern Recognition 157
  • Analytical Chemistry 57
  • Biophysics 15
  • Computational Mathematics 1
Replace Nanfeng Jiang with:
Nanfeng Jiang China
Shankar Mali India
Erting Pan China
Romulus Terebeş Romania
Chandrashekhar H. Patil India
Jiantong Chen China
Nicolas Vandenbroucke France
Arati Paul India
Ezmahamrul Afreen Awalludin Malaysia
Patricia L. Suárez Ecuador
Songlin Jin relative to Nanfeng Jiang China Nanfeng Jiang's profile →
Citations per field
00.5×1.5×2.5×
Nanfeng Jiang · 1×
Citations per year

Countries citing papers authored by Songlin Jin

Since Specialization
Citations

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

Fields of papers citing papers by Songlin Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1
Underwater Image Enhancement via Piecewise Color Correction and Dual Prior Optimized Contrast Enhancement
Hit paper breakdown →
2023134
2 202242
3 202219
4 202319
5 202310
6 202210
7 20237
8 20227
9 20236
10 20256
11 20244
12 20234
13 20232
14 20241
15 20250
16 20250
17 20250
18 20260

About Songlin Jin

Songlin Jin is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Plant Science, Analytical Chemistry and Ecology, having authored 18 papers that have together received 271 indexed citations. Recurring topics across this work include Image Enhancement Techniques (7 papers), Smart Agriculture and AI (7 papers), Spectroscopy and Chemometric Analyses (5 papers), Advanced Image Fusion Techniques (4 papers), Remote-Sensing Image Classification (4 papers), Advanced Image Processing Techniques (3 papers), Advanced Neural Network Applications (3 papers) and Remote Sensing in Agriculture (2 papers). The work is most often cited by research in Media Technology (99 citations), Computer Vision and Pattern Recognition (157 citations), Analytical Chemistry (57 citations), Biophysics (15 citations) and Computational Mathematics (1 citation). Songlin Jin has collaborated with scholars based in China, Malaysia and Bangladesh. Frequent co-authors include Weidong Zhang, Zheng Liang, Chongyi Li, Peixian Zhuang, Xipeng Pan, Peixin Qu, Ling Zhou, Jinliang An, Wenyi Zhao and Ziyang Zhang. Their work appears in journals such as Computers & Electrical Engineering, IEEE Access, Frontiers in Plant Science, IEEE Signal Processing Letters and Optics & Laser Technology.

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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