Lina Bai

1.4k total citations · 1 hit paper
22 papers, 560 citations indexed

About

Lina Bai is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Lina Bai has authored 22 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Atmospheric Science, 15 papers in Global and Planetary Change and 10 papers in Oceanography. Recurrent topics in Lina Bai's work include Climate variability and models (15 papers), Tropical and Extratropical Cyclones Research (15 papers) and Ocean Waves and Remote Sensing (10 papers). Lina Bai is often cited by papers focused on Climate variability and models (15 papers), Tropical and Extratropical Cyclones Research (15 papers) and Ocean Waves and Remote Sensing (10 papers). Lina Bai collaborates with scholars based in China, Canada and United States. Lina Bai's co-authors include Hui Yu, Ming Ying, Shuai Zhang, Rijin Wan, Xiaoqin Lu, Li‐Min Lin, Bingke Zhao, Yuan Wang, Jie Tang and G. H. Rieke and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Astrophysical Journal and Tetrahedron.

In The Last Decade

Lina Bai

20 papers receiving 546 citations

Hit Papers

Western North Pacific Tropical Cyclone Database Created b... 2021 2026 2022 2024 2021 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Western North Pacific Tropical Cyclone Database Created by the China Meteorological Administration
    2021 459 citations Xiaoqin Lu, Hui Yu et al. Advances in Atmospheric Sciences profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lina Bai China 7 482 310 222 37 36 22 560
Jeffrey B. Halverson United States 19 957 2.0× 777 2.5× 237 1.1× 28 0.8× 31 0.9× 35 1.1k
Yuan Sun China 16 631 1.3× 544 1.8× 319 1.4× 28 0.8× 23 0.6× 59 691
Bachir Annane United States 11 388 0.8× 160 0.5× 188 0.8× 140 3.8× 19 0.5× 18 480
Colin J. McAdie United States 6 679 1.4× 445 1.4× 341 1.5× 17 0.5× 13 0.4× 8 718
Evan A. Kalina United States 16 580 1.2× 404 1.3× 157 0.7× 84 2.3× 37 1.0× 26 663
Bingke Zhao China 7 512 1.1× 318 1.0× 229 1.0× 45 1.2× 37 1.0× 13 569
Malgorzata Szczodrak United States 13 583 1.2× 577 1.9× 182 0.8× 37 1.0× 34 0.9× 24 722
Mikiko Fujita Japan 12 418 0.9× 373 1.2× 169 0.8× 19 0.5× 11 0.3× 41 567
Donghai Wang China 13 626 1.3× 564 1.8× 77 0.3× 61 1.6× 16 0.4× 44 734
Xiangbo Feng United Kingdom 14 447 0.9× 357 1.2× 453 2.0× 20 0.5× 65 1.8× 39 681

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
1.
Bai, Lina, et al.. (2025). Increasing trend in intensity change of tropical cyclones before making landfall in China. Climate Dynamics. 63(3). 1 indexed citations
2.
Huang, Xin, et al.. (2025). Tropical cyclone activities in the western North Pacific in 2023. SHILAP Revista de lepidopterología. 14(2). 145–157.
3.
4.
Huang, Xin, Lina Bai, Zifeng Yu, et al.. (2024). Tropical cyclone activities in the Western North Pacific in 2022. SHILAP Revista de lepidopterología. 13(2). 125–135. 4 indexed citations
5.
6.
Bai, Lina, et al.. (2022). Climate trends in tropical cyclone-induced precipitation and wind over Shanghai. SHILAP Revista de lepidopterología. 11(3). 219–224. 3 indexed citations
7.
Bai, Lina, et al.. (2022). Interagency discrepancies in tropical cyclone intensity estimates over the western North Pacific in recent years. Atmospheric Science Letters. 24(1). 6 indexed citations
8.
Lu, Xiaoqin, Hui Yu, Ming Ying, et al.. (2021). Western North Pacific Tropical Cyclone Database Created by the China Meteorological Administration. Advances in Atmospheric Sciences. 38(4). 690–699. 459 indexed citations breakdown →
9.
Bai, Lina, et al.. (2021). Quantifying interagency differences in intensity estimations of Super Typhoon Lekima (2019). Frontiers of Earth Science. 16(1). 5–16. 8 indexed citations
10.
Ying, Ming, Lina Bai, & Ruifen Zhan. (2014). Tropical Cyclone Activity Over the Western North Pacific in 2013. SHILAP Revista de lepidopterología. 3(3). 131–144. 3 indexed citations
11.
Bai, Lina, et al.. (2014). Mean structure of tropical cyclones making landfall in mainland China. Journal of Meteorological Research. 28(3). 407–419. 3 indexed citations
12.
Xu, Xin, et al.. (2014). Dynamic impact of the vertical shear of gradient wind on the tropical cyclone boundary layer wind field. Acta Meteorologica Sinica. 28(1). 127–138. 3 indexed citations
13.
Bai, Lina, et al.. (2014). STAR FORMATION TRENDS IN THE UNRELAXED, POST-MERGER CLUSTER A2255. The Astrophysical Journal. 794(1). 31–31. 5 indexed citations
14.
Rieke, G. H., et al.. (2013). STAR-FORMING GALAXY EVOLUTION IN NEARBY RICH CLUSTERS. The Astrophysical Journal. 773(2). 86–86. 11 indexed citations
15.
Shu, Shoujuan, Yuan Wang, & Lina Bai. (2013). Insight into the role of lower-layer vertical wind shear in tropical cyclone intensification over the western North Pacific. Acta Meteorologica Sinica. 27(3). 356–363. 16 indexed citations
16.
Ren, Fumin, Lina Bai, Guoxiong Wu, Zaizhi Wang, & Yuan Wang. (2012). A possible mechanism of the impact of atmosphere-ocean interaction on the activity of tropical cyclones affecting China. Advances in Atmospheric Sciences. 29(4). 661–674. 1 indexed citations
17.
Li, Zengyuan, et al.. (2011). Rice mapping using ALOS PALSAR dual polarization data. National Remote Sensing Bulletin. 3 indexed citations
18.
Rieke, G. H., David J. Wilman, Sean McGee, et al.. (2011). THE NATURE OF STAR FORMATION AT 24 μm IN THE GROUP ENVIRONMENT AT 0.3 ≲z≲ 0.55. The Astrophysical Journal. 738(1). 56–56. 6 indexed citations
19.
Pang, Yong, et al.. (2003). InSAR Technology and Its Application to Estimate Stand Average Height. National Remote Sensing Bulletin. 0(1). 8–13. 3 indexed citations
20.
Chen, Erxue, Zengyuan Li, Lina Bai, et al.. (2001). Mapping China Forest with ERS SAR Tandem Data (MACFERST). 1 indexed citations

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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