Le Jiang

443 citations
33 papers · 295 · h-index 10

Impact in

Papers in

Le Jiang

32 papers receiving 288 citations

Peers

Le Jiang
Comparison fields: 5 of 89
  • Computer Vision and Pattern Recognition 130
  • Media Technology 39
  • Computational Mechanics 69
  • Numerical Analysis 14
  • Computational Theory and Mathematics 29
Replace Chee Kit Wong with:
Chee Kit Wong New Zealand
Jinghong Liu China
Binbin Hao China
Lianlei Lin China
Hyenkyun Woo South Korea
Zhiqiang Zhou China
Shuli Mei China
Julien Demouth South Korea
Robert Luce France
Xueli Song China
Le Jiang relative to Chee Kit Wong New Zealand Chee Kit Wong's profile →
Citations per field
00.5×5.2×
Chee Kit Wong · 1×
Citations per year

Countries citing papers authored by Le Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Le Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201370
2 201826
3 202225
4 201621
5 201320
6 200819
7 201016
8 200811
9 202410
10 20179
11 20188
12 20247
13 20217
14 20137
15 20216
16 20226
17 20233
18
Diagnosis and remedy of the nectarine chlorosis in greenhouse
20093
19 20153
20 20252

About Le Jiang

Le Jiang is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computational Mechanics, Computational Theory and Mathematics and Biomedical Engineering, having authored 33 papers that have together received 295 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (6 papers), Matrix Theory and Algorithms (4 papers), Sparse and Compressive Sensing Techniques (3 papers), Mathematics and Applications (2 papers), Wireless Body Area Networks (2 papers), Autonomous Vehicle Technology and Safety (2 papers), Robotic Path Planning Algorithms (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (130 citations), Media Technology (39 citations), Computational Mechanics (69 citations), Numerical Analysis (14 citations) and Computational Theory and Mathematics (29 citations). Le Jiang has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Xiao-Guang Lv, Jun Liu, Sarah Ostadabbas, Jin Huang, Ting‐Zhu Huang, Caleb Lee, Bo Chen, Zihui Yang, Teris A. van Beek and Ming Ma. Their work appears in journals such as Applied Mathematics and Computation, Journal of Agricultural and Food Chemistry, Managerial and Decision Economics, Expert Systems with Applications and Renewable Energy.

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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