Xiaoli Su

1.8k citations
66 papers · 1.1k · 1 hit paper · h-index 18

Impact in

Papers in

Xiaoli Su

56 papers receiving 1.1k citations

Xiaoli Su's Hit Papers

Diffusion model-driven smart design and manufacturing: Prospects and challenges 2025 · 22 citations
220Years since publication5101520

Peers

Xiaoli Su
Comparison fields: 5 of 90
  • Atmospheric Science 769
  • Health, Toxicology and Mutagenesis 553
  • Global and Planetary Change 446
  • Environmental Engineering 134
  • Oceanography 112
Replace Fu Wang with:
Fu Wang China
Zhaoliang Zeng China
Jason Blake Cohen China
Amit P. Kesarkar India
Astrid Manders Netherlands
Grazia Ghermandi Italy
M. V. Ramana India
Tomoko Shirai Japan
Lin Su China
Christian Ruckstuhl Switzerland
Xiaoli Su relative to Fu Wang China Fu Wang's profile →
Citations per field
00.5×1.5×1.9×
Fu Wang · 1×
Citations per year

Countries citing papers authored by Xiaoli Su

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoli Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013142
2 2016119
3 201673
4 201364
5 201662
6 201658
7 201750
8 201349
9 201936
10 201535
11 201134
12 201933
13 201031
14 201524
15
Diffusion model-driven smart design and manufacturing: Prospects and challenges
Hit paper breakdown →
202522
16 201321
17 201518
18 201717
19 202116
20 201716

About Xiaoli Su

Xiaoli Su is a scholar working on Atmospheric Science, Global and Planetary Change, Health, Toxicology and Mutagenesis, Oceanography and Astronomy and Astrophysics, having authored 66 papers that have together received 1.1k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (23 papers), Atmospheric aerosols and clouds (16 papers), Air Quality and Health Impacts (15 papers), Geophysics and Gravity Measurements (12 papers), Atmospheric Ozone and Climate (11 papers), Cryospheric studies and observations (8 papers), Planetary Science and Exploration (6 papers) and Landslides and related hazards (6 papers). The work is most often cited by research in Atmospheric Science (769 citations), Health, Toxicology and Mutagenesis (553 citations), Global and Planetary Change (446 citations), Environmental Engineering (134 citations) and Oceanography (112 citations). Xiaoli Su has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Junji Cao, Qiyuan Wang, Ru‐Jin Huang, Zhenxing Shen, Xuexi Tie, Shuyu Zhao, Chongshu Zhu, Guohui Li, Suixin Liu and Yongming Han. Their work appears in journals such as Remote Sensing, Atmospheric Environment, Journal of Geophysical Research Atmospheres, Journal of Hydrology and Atmospheric chemistry and physics.

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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