Lina Bai

1.4k citations
22 papers · 560 indexed · 1 hit paper · h-index 7
Topics
Climate variability and models (15 papers)Tropical and Extratropical Cyclones Research (15 papers)Ocean Waves and Remote Sensing (10 papers)
Journals
SHILAP Revista de lepidopterologíaThe Astrophysical JournalTetrahedron
Partner nations
ChinaCanadaUnited States

In The Last Decade

Lina Bai

20 papers receiving 546 citations

Hit Papers

Western North Pacific Tropical Cyclone Database Created b...20212026202220242021100200300400

Peers

Lina Bai
Comparison fields: 5 of 45
  • Atmospheric Science 482
  • Global and Planetary Change 310
  • Oceanography 222
  • Environmental Engineering 37
  • Ecology 36
Replace Malgorzata Szczodrak with:
Malgorzata Szczodrak United States
Bradley W. Klotz United States
Jeffrey B. Halverson United States
Yuan Sun China
Colin J. McAdie United States
Verònica Nieves Spain
Daniel Esteban-Fernández United States
Freja Vamborg United Kingdom
Bingke Zhao China
Xiangbo Feng United Kingdom
Lina Bai relative to Malgorzata Szczodrak United States Malgorzata Szczodrak's profile →
Citations per field
00.5×3.7×
Malgorzata Szczodrak · 1×
Citations per year

Countries citing papers authored by Lina Bai

Since Specialization
Citations

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

Fields of papers citing papers by Lina Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lina Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Lina Bai. A scholar is included among the top collaborators of Lina Bai 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 Lina Bai. Lina Bai 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
#WorkIndexed citations
1 0
2 1
3 0
4 9
5 6
6 3
7
Western North Pacific Tropical Cyclone Database Created by the China Meteorological Administrationbreakdown →
459
8 8
9 11
10 3
11 3
12 3
13 5
14 16
15 11
16 1
17
Rice mapping using ALOS PALSAR dual polarization data
3
18 6
19 3
20
Mapping China Forest with ERS SAR Tandem Data (MACFERST)
1

About Lina Bai

Lina Bai is a scholar working on Atmospheric Science, Oceanography and Global and Planetary Change, having authored 22 papers that have together received 560 indexed citations. Recurring topics across this work include Climate variability and models (15 papers), Tropical and Extratropical Cyclones Research (15 papers) and Ocean Waves and Remote Sensing (10 papers). The work is most often cited by research in Atmospheric Science (482 citations), Oceanography (222 citations) and Global and Planetary Change (310 citations). Lina Bai has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Hui Yu, Ming Ying, Shuai Zhang, Rijin Wan, Li‐Min Lin, Xiaoqin Lu, Bingke Zhao, Jie Tang, Yuan Wang and G. H. Rieke. Their work appears in journals such as SHILAP Revista de lepidopterología, The Astrophysical Journal and Tetrahedron.

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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