Jun‐Hong Liang

1.5k total citations
40 papers, 1.0k citations indexed

About

Jun‐Hong Liang is a scholar working on Oceanography, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Jun‐Hong Liang has authored 40 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Oceanography, 17 papers in Atmospheric Science and 9 papers in Global and Planetary Change. Recurrent topics in Jun‐Hong Liang's work include Oceanographic and Atmospheric Processes (28 papers), Ocean Waves and Remote Sensing (14 papers) and Tropical and Extratropical Cyclones Research (14 papers). Jun‐Hong Liang is often cited by papers focused on Oceanographic and Atmospheric Processes (28 papers), Ocean Waves and Remote Sensing (14 papers) and Tropical and Extratropical Cyclones Research (14 papers). Jun‐Hong Liang collaborates with scholars based in United States, China and Hong Kong. Jun‐Hong Liang's co-authors include James C. McWilliams, Peter P. Sullivan, Curtis Deutsch, Burkard Baschek, François Colas, Lionel Renault, Hartmut Frenzel, Thomas Weber, Jacob A. Cram and Andrew M. P. McDonnell and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Fluid Mechanics and Geophysical Research Letters.

In The Last Decade

Jun‐Hong Liang

40 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun‐Hong Liang United States 18 775 374 272 120 118 40 1.0k
Burkard Baschek Germany 17 740 1.0× 291 0.8× 294 1.1× 112 0.9× 103 0.9× 44 910
Kai H. Christensen Norway 21 940 1.2× 556 1.5× 273 1.0× 46 0.4× 239 2.0× 63 1.2k
Ramsey R. Harcourt United States 19 1.3k 1.7× 779 2.1× 493 1.8× 55 0.5× 152 1.3× 37 1.4k
Ruo‐Shan Tseng Taiwan 15 396 0.5× 241 0.6× 148 0.5× 59 0.5× 123 1.0× 35 642
Yeon S. Chang South Korea 14 392 0.5× 287 0.8× 194 0.7× 259 2.2× 345 2.9× 50 802
Philippe Fraunié France 17 443 0.6× 201 0.5× 146 0.5× 157 1.3× 211 1.8× 54 1.0k
Benjamin de Brye Belgium 14 312 0.4× 188 0.5× 126 0.5× 262 2.2× 319 2.7× 23 737
Qiankun Zhu China 18 772 1.0× 248 0.7× 324 1.2× 253 2.1× 35 0.3× 105 1.1k
Graig Sutherland Norway 18 629 0.8× 449 1.2× 199 0.7× 28 0.2× 127 1.1× 32 844
Luc Lenain United States 22 913 1.2× 540 1.4× 168 0.6× 126 1.1× 548 4.6× 59 1.2k

Countries citing papers authored by Jun‐Hong Liang

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐Hong Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun‐Hong Liang. 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 Jun‐Hong Liang. The network helps show where Jun‐Hong Liang may publish in the future.

Co-authorship network of co-authors of Jun‐Hong Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Jun‐Hong Liang. A scholar is included among the top collaborators of Jun‐Hong Liang 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 Jun‐Hong Liang. Jun‐Hong Liang 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, Peng, et al.. (2025). Langmuir Mixing Schemes Based on a Modified K‐Profile Parameterization. Journal of Advances in Modeling Earth Systems. 17(4). 4 indexed citations
2.
Chen, Ji, et al.. (2025). Numerical investigation of arc and droplet dynamics in local dry underwater welding under varying ambient pressures. International Journal of Thermal Sciences. 214. 109931–109931. 3 indexed citations
3.
Liang, Jun‐Hong, et al.. (2024). The K‐Profile Parameterization Augmented by Deep Neural Networks (KPP_DNN) in the General Ocean Turbulence Model (GOTM). Journal of Advances in Modeling Earth Systems. 16(9). 4 indexed citations
4.
Chen, Xuebin, Jun‐Hong Liang, Guoji Xu, & Qin Chen. (2023). A study on the interaction between circular or elliptical cross-section submerged floating tunnels and elevation internal solitary waves. Ocean Engineering. 285. 115291–115291. 7 indexed citations
5.
Dong, Changming, et al.. (2022). Convective mixing induced by brine rejection and its parameterization using large eddy simulation. Deep Sea Research Part II Topical Studies in Oceanography. 205. 105179–105179. 2 indexed citations
6.
Liang, Jun‐Hong, et al.. (2022). Exploring the use of machine learning to parameterize vertical mixing in the ocean surface boundary layer. Ocean Modelling. 176. 102059–102059. 12 indexed citations
7.
Dong, Changming, et al.. (2022). Influence of sea surface wave-dependent roughness on summer precipitation over the Southeastern United States. Deep Sea Research Part II Topical Studies in Oceanography. 206. 105209–105209. 3 indexed citations
9.
Ozdemir, C. E., et al.. (2021). Oscillatory flow around a vertical wall-mounted cylinder: Flow pattern details. Physics of Fluids. 33(2). 7 indexed citations
10.
Ozdemir, C. E., et al.. (2021). Oscillatory flow around a vertical wall-mounted cylinder: Dynamic mode decomposition. Physics of Fluids. 33(2). 29 indexed citations
11.
Liang, Jun‐Hong, et al.. (2021). Wind- and Wave-driven Ocean Surface Boundary Layer in a Frontal Zone: Roles of Submesoscale Eddies and Ekman-Stokes Transport. Journal of Physical Oceanography. 9 indexed citations
12.
Deutsch, Curtis, Hartmut Frenzel, James C. McWilliams, et al.. (2021). Biogeochemical variability in the California Current System. Progress In Oceanography. 196. 102565–102565. 44 indexed citations
13.
Liang, Jun‐Hong, Eric A. D’Asaro, Craig McNeil, et al.. (2020). Suppression of CO2 Outgassing by Gas Bubbles Under a Hurricane. Geophysical Research Letters. 47(18). 13 indexed citations
14.
Liang, Jun‐Hong, et al.. (2018). Effect of Planetary Rotation on Oceanic Surface Boundary Layer Turbulence. Journal of Physical Oceanography. 48(9). 2057–2080. 15 indexed citations
15.
Liang, Jun‐Hong, Xiaoliang Wan, Kenneth A. Rose, Peter P. Sullivan, & James C. McWilliams. (2018). Horizontal Dispersion of Buoyant Materials in the Ocean Surface Boundary Layer. Journal of Physical Oceanography. 48(9). 2103–2125. 27 indexed citations
16.
McWilliams, James C., et al.. (2018). Wave-driven mesoscale currents in a marginal ice zone. Ocean Modelling. 134. 1–17. 11 indexed citations
17.
DeVries, Tim, Jun‐Hong Liang, & Curtis Deutsch. (2014). A mechanistic particle flux model applied to the oceanic phosphorus cycle. Biogeosciences. 11(19). 5381–5398. 37 indexed citations
18.
Li, Hong, He‐Ping Zhao, Hulin Hao, et al.. (2011). Enhancement of Nutrient Removal from Eutrophic Water by a Plant–Microorganisms Combined System. Environmental Engineering Science. 28(8). 543–554. 23 indexed citations
19.
Liang, Jun‐Hong, et al.. (2007). A Boltzmann-based finite volume algorithm for surface water flows on cells of arbitrary shapes. Journal of Hydraulic Research. 45(2). 147–164. 12 indexed citations
20.
Ghidaoui, Mohamed S., Andrei Kolyshkin, Jun‐Hong Liang, et al.. (2006). Linear and nonlinear analysis of shallow wakes. Journal of Fluid Mechanics. 548. 309–340. 32 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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