Xin Su

976 total citations · 1 hit paper
31 papers, 654 citations indexed

About

Xin Su is a scholar working on Atmospheric Science, Global and Planetary Change and Artificial Intelligence. According to data from OpenAlex, Xin Su has authored 31 papers receiving a total of 654 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Atmospheric Science, 21 papers in Global and Planetary Change and 5 papers in Artificial Intelligence. Recurrent topics in Xin Su's work include Atmospheric chemistry and aerosols (20 papers), Atmospheric aerosols and clouds (20 papers) and Atmospheric and Environmental Gas Dynamics (10 papers). Xin Su is often cited by papers focused on Atmospheric chemistry and aerosols (20 papers), Atmospheric aerosols and clouds (20 papers) and Atmospheric and Environmental Gas Dynamics (10 papers). Xin Su collaborates with scholars based in China, United States and Switzerland. Xin Su's co-authors include Lunche Wang, Ming Zhang, Wenmin Qin, Muhammad Bilal, Muhammad Adeel Hassan, Yonggui Xiao, Riqiang Chen, Zhen Chen, Shuaipeng Fei and Qian Cheng and has published in prestigious journals such as The Science of The Total Environment, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Xin Su

30 papers receiving 641 citations

Hit Papers

UAV-based multi-sensor data fusion and machine learning a... 2022 2026 2023 2024 2022 50 100 150

Peers

Xin Su
Comparison fields: 5 of 63
  • Global and Planetary Change 386
  • Atmospheric Science 318
  • Ecology 149
  • Plant Science 122
  • Environmental Engineering 115
Replace Ying Yu with:
Ying Yu China
Jong‐Min Yeom South Korea
Ran Huang China
Mustafa Üstüner Türkiye
László Mucsi Hungary
Aixia Yang China
Guangbo Ren China
Pablo Pozzobon de Brazil
Duy Nguyễn Vietnam
Ying Yu China View profile →
Citations per field, relative to Xin Su
Xin Su · 1×
Citations per year, relative to Xin Su
Xin Su · 1×

Countries citing papers authored by Xin Su

Since Specialization
Citations

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

Fields of papers citing papers by Xin Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Su

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Su. A scholar is included among the top collaborators of Xin Su 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 Xin Su. Xin Su 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 1
2 2
3 1
4 2
5 12
6 3
7 7
8 14
9 24
10 16
11 17
12 8
13 12
14 21
15 2
16
UAV-based multi-sensor data fusion and machine learning algorithm for yield prediction in wheat breakdown →
191
17 22
18 22
19 39
20 4

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

Rankless by CCL
2026