Beili Ying

405 citations
31 papers · 301 · h-index 9

Impact in

Papers in

Beili Ying

26 papers receiving 255 citations

Peers

Beili Ying
Comparison fields: 5 of 19
  • Astronomy and Astrophysics 292
  • Artificial Intelligence 51
  • Oceanography 11
  • Atmospheric Science 15
  • Renewable Energy, Sustainability and the Environment 11
Replace Prateek Chanda with:
Prateek Chanda India
Kolja Glogowski Germany
K. Bonte Belgium
Marie-Laure Hellin Belgium
Graham S. Kerr United States
Andrea Francesco Battaglia Switzerland
Qi Hao China
Qiao Song China
Xiaolei Li China
Fernando Carcaboso Morales United States
Beili Ying relative to Prateek Chanda India Prateek Chanda's profile →
Citations per field
00.5×1.5×
Prateek Chanda · 1×
Citations per year

Countries citing papers authored by Beili Ying

Since Specialization
Citations

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

Fields of papers citing papers by Beili Ying

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201968
2 201947
3 201937
4 202422
5 201914
6 202214
7 202112
8 202412
9 20189
10 20208
11 20208
12 20218
13 20227
14 20246
15 20244
16 20223
17 20233
18 20243
19 20243
20 20202

About Beili Ying

Beili Ying is a scholar working on Astronomy and Astrophysics, Artificial Intelligence, Pulmonary and Respiratory Medicine, Oceanography and Geophysics, having authored 31 papers that have together received 301 indexed citations. Recurring topics across this work include Solar and Space Plasma Dynamics (31 papers), Astro and Planetary Science (17 papers), Stellar, planetary, and galactic studies (14 papers), Ionosphere and magnetosphere dynamics (10 papers), Solar Radiation and Photovoltaics (7 papers), Geomagnetism and Paleomagnetism Studies (3 papers), CCD and CMOS Imaging Sensors (2 papers) and Radiation Therapy and Dosimetry (2 papers). The work is most often cited by research in Astronomy and Astrophysics (292 citations), Artificial Intelligence (51 citations), Oceanography (11 citations), Atmospheric Science (15 citations) and Renewable Energy, Sustainability and the Environment (11 citations). Beili Ying has collaborated with scholars based in China, Italy and United States. Frequent co-authors include Li Feng, Lei Lu, Weiqun Gan, Hui Li, Yu Huang, Jianchao Xue, Ying Li, Alessandro Bemporad, Jie Zhao and Jingwei Li. Their work appears in journals such as Solar Physics, The Astrophysical Journal, Astronomy and Astrophysics, The Astrophysical Journal Letters and The Astrophysical Journal Supplement Series.

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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