Luyan Ji

68 papers receiving 1.2k citations

Peers

Luyan Ji
Comparison fields: 5 of 101
  • Media Technology 767
  • Atmospheric Science 532
  • Computational Mathematics 14
  • Global and Planetary Change 289
  • Computer Vision and Pattern Recognition 229
Replace Xiurui Geng with:
Xiurui Geng China
Giovanna Trianni Italy
Jason Brazile Switzerland
Qing Cheng China
Rupert Müller Germany
Sophie Fabre France
Mahdi Khodadadzadeh Germany
Henning Skriver Denmark
Bei Zhao China
Maciel Zortea Brazil
Luyan Ji relative to Xiurui Geng China Xiurui Geng's profile →
Citations per field
00.5×
Xiurui Geng · 1×
Citations per year

Countries citing papers authored by Luyan Ji

Since Specialization
Citations

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

Fields of papers citing papers by Luyan Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014128
2 2015102
3 201585
4 201482
5 201881
6 201476
7 201672
8 201546
9 201438
10 201737
11 201335
12 201428
13 201825
14 201424
15 201623
16 201622
17 201316
18 201416
19 201615
20 201415

About Luyan Ji

Luyan Ji is a scholar working on Media Technology, Atmospheric Science, Computer Vision and Pattern Recognition, Ecology and Global and Planetary Change, having authored 75 papers that have together received 1.2k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (47 papers), Remote Sensing and Land Use (26 papers), Advanced Image Fusion Techniques (20 papers), Remote Sensing in Agriculture (15 papers), Image and Signal Denoising Methods (10 papers), Spectroscopy and Chemometric Analyses (9 papers), Infrared Target Detection Methodologies (9 papers) and Remote Sensing and LiDAR Applications (8 papers). The work is most often cited by research in Media Technology (767 citations), Atmospheric Science (532 citations), Computational Mathematics (14 citations), Global and Planetary Change (289 citations) and Computer Vision and Pattern Recognition (229 citations). Luyan Ji has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Xiurui Geng, Kang Sun, Yongchao Zhao, Peng Gong, Jie Wang, Zhiliang Zhu, Fuxiang Wang, Yun Lu, Jiancheng Shi and Hairong Tang. Their work appears in journals such as Remote Sensing, International Journal of Remote Sensing, IEEE Geoscience and Remote Sensing Letters, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and IEEE Transactions on Geoscience and Remote Sensing.

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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