Jinlong Li

1.3k total citations
44 papers, 965 citations indexed

About

Jinlong Li is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Jinlong Li has authored 44 papers receiving a total of 965 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Atmospheric Science, 24 papers in Global and Planetary Change and 8 papers in Environmental Engineering. Recurrent topics in Jinlong Li's work include Meteorological Phenomena and Simulations (26 papers), Climate variability and models (14 papers) and Atmospheric Ozone and Climate (10 papers). Jinlong Li is often cited by papers focused on Meteorological Phenomena and Simulations (26 papers), Climate variability and models (14 papers) and Atmospheric Ozone and Climate (10 papers). Jinlong Li collaborates with scholars based in United States, China and South Korea. Jinlong Li's co-authors include Jun Li, Timothy J. Schmit, Pei Wang, Zhenglong Li, Mitchell D. Goldberg, Elisabeth Weisz, Daniel K. Zhou, Jing Zheng, James J. Gurka and Wayne F. Feltz and has published in prestigious journals such as Nature, Journal of Geophysical Research Atmospheres and Geophysical Research Letters.

In The Last Decade

Jinlong Li

41 papers receiving 943 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinlong Li United States 19 822 661 127 127 104 44 965
Paolo Pili Germany 7 871 1.1× 925 1.4× 187 1.5× 116 0.9× 70 0.7× 16 1.2k
Alain Ratier Germany 6 874 1.1× 919 1.4× 184 1.4× 108 0.9× 73 0.7× 10 1.2k
Yongguang Zheng China 19 868 1.1× 721 1.1× 166 1.3× 39 0.3× 57 0.5× 54 1.0k
Ulrich Hamann Switzerland 10 503 0.6× 534 0.8× 94 0.7× 68 0.5× 30 0.3× 19 748
Tieh‐Yong Koh Singapore 17 512 0.6× 501 0.8× 287 2.3× 50 0.4× 171 1.6× 35 865
Daniel Morstad United States 11 665 0.8× 585 0.9× 70 0.6× 428 3.4× 31 0.3× 13 819
Rabindra Palikonda United States 24 1.3k 1.6× 1.5k 2.3× 116 0.9× 290 2.3× 35 0.3× 63 1.7k
G. Thomas Arnold United States 17 1.4k 1.7× 1.5k 2.2× 137 1.1× 181 1.4× 44 0.4× 33 1.7k
C. N. Long United States 5 285 0.3× 414 0.6× 68 0.5× 57 0.4× 31 0.3× 9 734
Zafer Boybeyi United States 14 587 0.7× 424 0.6× 276 2.2× 46 0.4× 96 0.9× 36 788

Countries citing papers authored by Jinlong Li

Since Specialization
Citations

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

Fields of papers citing papers by Jinlong Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinlong Li

This figure shows the co-authorship network connecting the top 25 collaborators of Jinlong Li. A scholar is included among the top collaborators of Jinlong Li 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 Jinlong Li. Jinlong Li 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.
Li, Jinlong, et al.. (2025). An Arctic Ocean Thermohaline Dataset. Scientific Data. 12(1). 1607–1607.
2.
3.
Li, Zhenglong, Timothy J. Schmit, Jinlong Li, Jun Li, & Andrew K. Heidinger. (2023). Studies Regarding the Ensquared Energy of a Geostationary Hyperspectral Infrared Sounder. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–9. 5 indexed citations
4.
5.
Wang, Pei, Jun Li, Jinlong Li, et al.. (2021). New Observation Operators for Cloud Liquid/Ice Water Path From ABI and Their Impact on Assimilation and Hurricane Forecasts. Journal of Geophysical Research Atmospheres. 126(10). 8 indexed citations
6.
Di, Di, Jun Li, Zhenglong Li, et al.. (2021). Can Current Hyperspectral Infrared Sounders Capture the Small Scale Atmospheric Water Vapor Spatial Variations?. Geophysical Research Letters. 48(21). 15 indexed citations
7.
Li, Jinlong, Jun Li, Christopher S. Velden, et al.. (2020). Impact of Rapid‐Scan‐Based Dynamical Information From GOES‐16 on HWRF Hurricane Forecasts. Journal of Geophysical Research Atmospheres. 125(3). 35 indexed citations
8.
Xue, Y., Jun Li, W. Paul Menzel, et al.. (2019). Characteristics of Satellite Sampling Errors in Total Precipitable Water from SSMIS, HIRS, and COSMIC Observations. Journal of Geophysical Research Atmospheres. 124(13). 6966–6981. 18 indexed citations
9.
Zhou, Xiren, et al.. (2019). A Cable-Mapping Algorithm Based on Ground-Penetrating Radar. IEEE Geoscience and Remote Sensing Letters. 16(10). 1630–1634. 17 indexed citations
10.
Wang, Pei, et al.. (2019). Impacts of Observation Errors on Hurricane Forecasts When Assimilating Hyperspectral Infrared Sounder Radiances in Partially Cloudy Skies. Journal of Geophysical Research Atmospheres. 124(20). 10802–10813. 17 indexed citations
11.
Li, Jun, et al.. (2019). ABI Water Vapor Radiance Assimilation in a Regional NWP Model by Accounting for the Surface Impact. Earth and Space Science. 6(9). 1652–1666. 14 indexed citations
12.
Lu, Jiazheng, et al.. (2019). Impact of Assimilating Himawari‐8‐Derived Layered Precipitable Water With Varying Cumulus and Microphysics Parameterization Schemes on the Simulation of Typhoon Hato. Journal of Geophysical Research Atmospheres. 124(6). 3050–3071. 32 indexed citations
13.
Li, Zhenglong, Jun Li, Timothy J. Schmit, et al.. (2019). The alternative of CubeSat-based advanced infrared and microwave sounders for high impact weather forecasting. Atmospheric and Oceanic Science Letters. 12(2). 80–90. 19 indexed citations
14.
Wang, Pei, Jun Li, Zhenglong Li, et al.. (2017). The Impact of Cross‐track Infrared Sounder (CrIS) Cloud‐Cleared Radiances on Hurricane Joaquin (2015) and Matthew (2016) Forecasts. Journal of Geophysical Research Atmospheres. 122(24). 49 indexed citations
15.
Li, Jun, et al.. (2016). On the assimilation of satellite sounder data in cloudy skies in numerical weather prediction models. Journal of Meteorological Research. 30(2). 169–182. 64 indexed citations
16.
Zhu, Qidan, et al.. (2013). Evaluation of pilot arresting landing based on fuzzy of hierarchy process. 3630–3633. 3 indexed citations
17.
Yao, Zhigang, Jun Li, Jinlong Li, & Hong Zhang. (2011). Surface Emissivity Impact on Temperature and Moisture Soundings from Hyperspectral Infrared Radiance Measurements. Journal of Applied Meteorology and Climatology. 50(6). 1225–1235. 17 indexed citations
18.
Li, Jinlong. (2009). STUDY ON THE ACIDITY OF PARTICULATE MATTERS. Environmental Chemistry. 1 indexed citations
19.
Li, Jinlong, Jun Li, Elisabeth Weisz, et al.. (2007). The simultaneous retrieval of hyperspectral IR emissivity spectrum along with temperature and moisture profiles from AIRS. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6684. 66840L–66840L. 1 indexed citations
20.
Reimann, Stefan, Alistair J. Manning, Peter G. Simmonds, et al.. (2005). Low European methyl chloroform emissions inferred from long-term atmospheric measurements. Nature. 433(7025). 506–508. 48 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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