Tie Dai

1.0k total citations
44 papers, 521 citations indexed

About

Tie Dai is a scholar working on Atmospheric Science, Global and Planetary Change and Artificial Intelligence. According to data from OpenAlex, Tie Dai has authored 44 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Atmospheric Science, 42 papers in Global and Planetary Change and 4 papers in Artificial Intelligence. Recurrent topics in Tie Dai's work include Atmospheric aerosols and clouds (39 papers), Atmospheric chemistry and aerosols (37 papers) and Atmospheric Ozone and Climate (18 papers). Tie Dai is often cited by papers focused on Atmospheric aerosols and clouds (39 papers), Atmospheric chemistry and aerosols (37 papers) and Atmospheric Ozone and Climate (18 papers). Tie Dai collaborates with scholars based in China, Japan and Netherlands. Tie Dai's co-authors include Guangyu Shi, Teruyuki Nakajima, Daisuke Goto, Yueming Cheng, Yuzhi Liu, Nick Schutgens, Guangyu Shi, Yongkun Xie, Rui Jia and Peng Zhang and has published in prestigious journals such as The Science of The Total Environment, Geophysical Research Letters and Environmental Pollution.

In The Last Decade

Tie Dai

40 papers receiving 513 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tie Dai China 13 446 435 79 58 41 44 521
Juan Antonio Bravo-Aranda Spain 19 805 1.8× 842 1.9× 99 1.3× 141 2.4× 22 0.5× 50 938
S. Nemesure United States 8 533 1.2× 490 1.1× 76 1.0× 22 0.4× 15 0.4× 15 600
T. Elías France 8 259 0.6× 244 0.6× 63 0.8× 65 1.1× 18 0.4× 17 303
Mayumi Yoshida Japan 11 447 1.0× 466 1.1× 57 0.7× 64 1.1× 50 1.2× 34 558
María José Granados-Muñoz Spain 21 1.0k 2.3× 1.0k 2.4× 123 1.6× 111 1.9× 27 0.7× 55 1.1k
Daren Lv China 4 232 0.5× 224 0.5× 49 0.6× 41 0.7× 9 0.2× 10 287
J. Wong Canada 8 792 1.8× 753 1.7× 118 1.5× 27 0.5× 14 0.3× 9 830
Teresa Lo Feudo Italy 12 230 0.5× 232 0.5× 57 0.7× 86 1.5× 20 0.5× 42 371
S. Pereira Portugal 14 491 1.1× 501 1.2× 122 1.5× 43 0.7× 29 0.7× 27 584
Daren Lyu China 12 303 0.7× 325 0.7× 36 0.5× 36 0.6× 15 0.4× 22 399

Countries citing papers authored by Tie Dai

Since Specialization
Citations

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

Fields of papers citing papers by Tie Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tie Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Tie Dai. A scholar is included among the top collaborators of Tie Dai 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 Tie Dai. Tie Dai 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.
Wang, Lei, Lin Chen, Yueming Cheng, et al.. (2025). Coupling Hourly Land Surface Models With Spatiotemporal Variability Characteristics: A Study on FY-4B/AGRI Land Aerosol Retrieval Algorithm. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–20.
2.
Wang, Su, Tie Dai, Xiangao Xia, et al.. (2025). Online-Coupled Aerosol Effects on Cloud Microphysics and Surface Solar Irradiance in WRF-Solar. Remote Sensing. 17(16). 2829–2829.
3.
Wang, Su, Gang Huang, Tie Dai, et al.. (2025). Investigating the role of aerosol wet scavenging on global horizontal irradiance simulation in the WRF-Chem-solar model. Applied Energy. 396. 126062–126062. 2 indexed citations
4.
Ren, Ning, Tie Dai, Yueming Cheng, & Guangyu Shi. (2024). Sensitivity of dust event simulation to dust emission schemes and meteorological forcing datasets in the Belt and Road regions: A case study. Atmospheric Research. 314. 107817–107817. 2 indexed citations
5.
Cheng, Yueming, Tie Dai, Daisuke Goto, et al.. (2024). Improved hourly estimate of aerosol optical thickness over Asian land by fusing geostationary satellites Fengyun-4B and Himawari-9. The Science of The Total Environment. 923. 171541–171541. 5 indexed citations
6.
Liu, Xiaohong, Chenglai Wu, Guangxing Lin, et al.. (2024). Larger Dust Cooling Effect Estimated From Regionally Dependent Refractive Indices. Geophysical Research Letters. 51(9). 2 indexed citations
7.
Zhang, Hua, Feng Zhang, Lei Liu, et al.. (2024). Advances in Atmospheric Radiation: Theories, Models, and Their Applications. Part II: Radiative Transfer Models and Related Applications. Journal of Meteorological Research. 38(2). 183–208.
8.
Letu, Husi, Tie Dai, Chong Shi, et al.. (2024). Estimating hourly surface shortwave radiation over northeast of the Tibetan Plateau by assimilating Himawari-8 cloud optical thickness. Geoscience Letters. 11(1). 1 indexed citations
9.
Cheng, Yueming, Tie Dai, Junji Cao, et al.. (2022). Improvement of the Aerosol Forecast and Analysis Over East Asia With Joint Assimilation of Two Geostationary Satellite Observations. Geophysical Research Letters. 49(21). 1 indexed citations
10.
Wang, Su, Gang Huang, Kaiming Hu, et al.. (2022). The deep blue day is decreasing in China. Theoretical and Applied Climatology. 147(3-4). 1675–1684. 2 indexed citations
11.
Dai, Tie, Yueming Cheng, Daisuke Goto, et al.. (2021). Revealing the sulfur dioxide emission reductions in China by assimilating surface observations in WRF-Chem. Atmospheric chemistry and physics. 21(6). 4357–4379. 20 indexed citations
12.
Wang, Hao, Tie Dai, Daisuke Goto, et al.. (2020). Simulating and Evaluating Global Aerosol Distributions With the Online Aerosol‐Coupled CAS‐FGOALS Model. Journal of Geophysical Research Atmospheres. 125(24). 8 indexed citations
13.
Cheng, Yueming, Tie Dai, Hua Zhang, et al.. (2020). Comparison and evaluation of the simulated annual aerosol characteristics over China with two global aerosol models. The Science of The Total Environment. 763. 143003–143003. 9 indexed citations
14.
Cheng, Yueming, Tie Dai, Jiming Li, & Guangyu Shi. (2020). Measurement Report: Determination of aerosol vertical features on different timescales over East Asia based on CATS aerosol products. Atmospheric chemistry and physics. 20(23). 15307–15322. 12 indexed citations
15.
Shang, Huazhe, Husi Letu, Xiaole Pan, et al.. (2019). Diurnal haze variations over the North China plain using measurements from Himawari-8/AHI. Atmospheric Environment. 210. 100–109. 24 indexed citations
16.
Dai, Tie, Yueming Cheng, Kentaroh Suzuki, et al.. (2019). Hourly Aerosol Assimilation of Himawari‐8 AOT Using the Four‐Dimensional Local Ensemble Transform Kalman Filter. Journal of Advances in Modeling Earth Systems. 11(3). 680–711. 35 indexed citations
17.
Cheng, Yueming, Tie Dai, Daisuke Goto, et al.. (2019). Investigating the assimilation of CALIPSO global aerosol vertical observations using a four-dimensional ensemble Kalman filter. Atmospheric chemistry and physics. 19(21). 13445–13467. 27 indexed citations
18.
19.
Dai, Tie. (2012). A Study on Beijing Aerosol Optical Properties in Spring 2006 by Skyradiometer Measurements. Climatic and Environmental Research. 2 indexed citations
20.
Dai, Tie. (2010). Preliminary Estimate of the Global Average Annual Climate Forcing Resulted from Anthropogenic Heat Release. Advances in Climate Change Research. 6(2). 119. 4 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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