Xiaochen Zou

18 papers receiving 321 citations

Peers

Xiaochen Zou
Comparison fields: 5 of 48
  • Ecology 205
  • Environmental Engineering 92
  • Global and Planetary Change 91
  • Plant Science 156
  • Software 15
Replace Yangguang Li with:
Yangguang Li China
Fabio Güttler France
Hugo do Nascimento Bendini Brazil
J. A. Landry Canada
Ethan J. Shavers United States
Zhang Miao China
Benson Kipkemboi Kenduiywo Kenya
Sofia Siachalou Greece
Yue Zhu Germany
Gleyce Kelly Dantas Araújo Figueiredo Brazil
Xiaochen Zou relative to Yangguang Li China Yangguang Li's profile →
Citations per field
00.5×2×3×4×4.5×
Yangguang Li · 1×
Citations per year

Countries citing papers authored by Xiaochen Zou

Since Specialization
Citations

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

Fields of papers citing papers by Xiaochen Zou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 201379
2 201754
3 201538
4 201528
5 201821
6 202118
7 202314
8
Spatial decision support system for the potential evaluation of land consolidation projects
200813
9 202212
10 202312
11 20148
12 20245
13 20225
14
Application of image texture analysis to improve land cover classification
20095
15 20104
16 20244
17 20214
18 20242
19 20250

About Xiaochen Zou

Xiaochen Zou is a scholar working on Ecology, Global and Planetary Change, Plant Science, Signal Processing and Software, having authored 19 papers that have together received 326 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (8 papers), Leaf Properties and Growth Measurement (7 papers), Security and Verification in Computing (3 papers), Land Use and Ecosystem Services (3 papers), Advanced Malware Detection Techniques (3 papers), Advanced Data Storage Technologies (2 papers), Remote Sensing and LiDAR Applications (2 papers) and Software Testing and Debugging Techniques (2 papers). The work is most often cited by research in Ecology (205 citations), Environmental Engineering (92 citations), Global and Planetary Change (91 citations), Plant Science (156 citations) and Software (15 citations). Xiaochen Zou has collaborated with scholars based in China, Finland and United States. Frequent co-authors include Matti Mõttus, Pirjo Mäkelä, Petri Pellikka, Priit Tammeorg, Frederick L. Stoddard, Jan Písek, Zhiyun Qian, Daoliang Li, Hao Yu and Jun Hong Jin. Their work appears in journals such as Remote Sensing, Journal of Physical Oceanography, Agricultural and Forest Meteorology, Applied Sciences and International Journal of 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.

Explore authors with similar magnitude of impact