Jinjiang Li

4.8k total citations
278 papers, 3.1k citations indexed

About

Jinjiang Li is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Jinjiang Li has authored 278 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 144 papers in Computer Vision and Pattern Recognition, 136 papers in Media Technology and 30 papers in Artificial Intelligence. Recurrent topics in Jinjiang Li's work include Advanced Image Fusion Techniques (94 papers), Image Enhancement Techniques (74 papers) and Remote-Sensing Image Classification (72 papers). Jinjiang Li is often cited by papers focused on Advanced Image Fusion Techniques (94 papers), Image Enhancement Techniques (74 papers) and Remote-Sensing Image Classification (72 papers). Jinjiang Li collaborates with scholars based in China, United States and Germany. Jinjiang Li's co-authors include Zhen Hua, Hui Fan, Yongmei Wu, Xiaomei Feng, Linwei Fan, Keith Decker, Xianbo Xiang, Genji Yuan, Fan Zhang and Shaolong Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Jinjiang Li

248 papers receiving 3.0k citations

Peers

Jinjiang Li
Comparison fields: 5 of 165
  • Computer Vision and Pattern Recognition 1.3k
  • Media Technology 973
  • Artificial Intelligence 416
  • Pharmaceutical Science 235
  • Atmospheric Science 216
Replace Shuhui Wang with:
Shuhui Wang China
Zhiqiang Wei China
Yanhui Guo United States
Xiaoli Zhang China
Yunlong Wang China
Wenyi Zhao China
Susmita Ghosh India
Yimin Zhang China
Takashi Matsubara Japan
Shuhui Wang China View profile →
Citations per field, relative to Jinjiang Li
Jinjiang Li · 1×
Citations per year, relative to Jinjiang Li
Jinjiang Li · 1×

Countries citing papers authored by Jinjiang Li

Since Specialization
Citations

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

Fields of papers citing papers by Jinjiang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinjiang Li

This figure shows the co-authorship network connecting the top 25 collaborators of Jinjiang Li. A scholar is included among the top collaborators of Jinjiang Li 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 Jinjiang Li. Jinjiang Li 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 0
2 1
3 0
4 8
5 1
6 9
7 1
8 1
9 7
10 1
11 41
12 2
13 7
14 15
15 1
16 4
17 3
18 58
19 17
20 2

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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