Harry V. Wang

1.7k total citations
36 papers, 1.3k citations indexed

About

Harry V. Wang is a scholar working on Oceanography, Atmospheric Science and Earth-Surface Processes. According to data from OpenAlex, Harry V. Wang has authored 36 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Oceanography, 17 papers in Atmospheric Science and 15 papers in Earth-Surface Processes. Recurrent topics in Harry V. Wang's work include Tropical and Extratropical Cyclones Research (15 papers), Coastal and Marine Dynamics (12 papers) and Oceanographic and Atmospheric Processes (12 papers). Harry V. Wang is often cited by papers focused on Tropical and Extratropical Cyclones Research (15 papers), Coastal and Marine Dynamics (12 papers) and Oceanographic and Atmospheric Processes (12 papers). Harry V. Wang collaborates with scholars based in United States, China and Taiwan. Harry V. Wang's co-authors include Jian Shen, Ya Ping Wang, Fei Xing, Yinglong Zhang, Mac Sisson, Yi‐Cheng Teng, Zhengui Wang, Fei Ye, Jiabi Du and Aron Roland and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and Marine Geology.

In The Last Decade

Harry V. Wang

33 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Harry V. Wang United States 18 691 550 537 437 391 36 1.3k
John D. Boon United States 17 520 0.8× 894 1.6× 394 0.7× 805 1.8× 244 0.6× 55 1.5k
Alejandro J. Souza United Kingdom 26 1.5k 2.1× 942 1.7× 880 1.6× 816 1.9× 438 1.1× 97 2.2k
Huichan Lin United States 22 1.2k 1.7× 312 0.6× 782 1.5× 325 0.7× 411 1.1× 33 1.5k
Davide Bonaldo Italy 20 578 0.8× 371 0.7× 552 1.0× 250 0.6× 345 0.9× 47 1.1k
Marco Bajo Italy 20 717 1.0× 457 0.8× 583 1.1× 256 0.6× 314 0.8× 40 1.2k
Sarath Wijeratne Australia 18 525 0.8× 226 0.4× 462 0.9× 189 0.4× 319 0.8× 45 1.0k
Malcolm O. Green New Zealand 22 441 0.6× 856 1.6× 226 0.4× 933 2.1× 201 0.5× 40 1.3k
Peter Dartnell United States 18 372 0.5× 389 0.7× 487 0.9× 431 1.0× 213 0.5× 98 1.2k
Leonard J. Pietrafesa United States 25 1.4k 2.0× 501 0.9× 1.0k 1.9× 265 0.6× 679 1.7× 77 1.8k
Jiayi Pan China 18 872 1.3× 201 0.4× 569 1.1× 196 0.4× 429 1.1× 80 1.2k

Countries citing papers authored by Harry V. Wang

Since Specialization
Citations

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

Fields of papers citing papers by Harry V. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Harry V. Wang. 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 Harry V. Wang. The network helps show where Harry V. Wang may publish in the future.

Co-authorship network of co-authors of Harry V. Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Harry V. Wang. A scholar is included among the top collaborators of Harry V. Wang 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 Harry V. Wang. Harry V. Wang 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.
Loftis, Jon Derek, et al.. (2019). Validating an Operational Flood Forecast Model Using Citizen Science in Hampton Roads, VA, USA. Journal of Marine Science and Engineering. 7(8). 242–242. 24 indexed citations
2.
Ye, Fei, Yinglong Zhang, Hao‐Cheng Yu, et al.. (2019). Simulating storm surge and compound flooding events with a creek-to-ocean model: Importance of baroclinic effects. Ocean Modelling. 145. 101526–101526. 81 indexed citations
3.
Zhang, Yinglong, Harry V. Wang, Marjorie A. M. Friedrichs, et al.. (2018). A 3D unstructured-grid model for Chesapeake Bay: Importance of bathymetry. Ocean Modelling. 127. 16–39. 68 indexed citations
4.
Du, Jiabi, Jian Shen, Yinglong Zhang, et al.. (2017). Tidal Response to Sea‐Level Rise in Different Types of Estuaries: The Importance of Length, Bathymetry, and Geometry. Geophysical Research Letters. 45(1). 227–235. 113 indexed citations
5.
Yu, Hao‐Cheng, Yinglong Zhang, Jason C Yu, et al.. (2017). Simulating multi-scale oceanic processes around Taiwan on unstructured grids. Ocean Modelling. 119. 72–93. 14 indexed citations
7.
Roland, Aron, Yinglong Zhang, Harry V. Wang, et al.. (2012). A fully coupled 3D wave‐current interaction model on unstructured grids. Journal of Geophysical Research Atmospheres. 117(C11). 156 indexed citations
8.
Hong, Bo, et al.. (2010). Modeling water exchange between Baltimore Harbor and Chesapeake Bay using artificial tracers: Seasonal variations. Marine Environmental Research. 70(1). 102–119. 15 indexed citations
9.
Gong, Wenping, Jian Shen, Kyoung‐Ho Cho, & Harry V. Wang. (2008). A numerical model study of barotropic subtidal water exchange between estuary and subestuaries (tributaries) in the Chesapeake Bay during northeaster events. Ocean Modelling. 26(3-4). 170–189. 19 indexed citations
10.
Olney, John E., et al.. (2008). Six Fish and 600,000 Thirsty Folks—A Fishing Moratorium on American Shad Thwarts a Controversial Municipal Reservoir Project in Virginia, USA. W&M Publish (College of William & Mary). 49. 1853. 3 indexed citations
11.
Wang, Harry V., et al.. (2008). Mass Conservative Transport Scheme for the Application of the ELCIRC Model to Water Quality Computation. Journal of Hydraulic Engineering. 134(8). 1166–1171. 11 indexed citations
12.
Shen, Jian & Harry V. Wang. (2007). Determining the age of water and long-term transport timescale of the Chesapeake Bay. Estuarine Coastal and Shelf Science. 74(4). 585–598. 123 indexed citations
13.
Park, Kyeong, et al.. (2007). A Model Study of the Estuarine Turbidity Maximum along the Main Channel of the Upper Chesapeake Bay. Estuaries and Coasts. 31(1). 115–133. 27 indexed citations
15.
Shen, Jian, Wenping Gong, & Harry V. Wang. (2006). Water level response to 1999 Hurricane Floyd in the Chesapeake Bay. Continental Shelf Research. 26(19). 2484–2502. 31 indexed citations
16.
Li, Zhen, Thomas F. Gross, Christopher W. Brown, Harry V. Wang, & Raleigh R. Hood. (2002). A Near Real Time Simulation of Salinity, Temperature and Sea Nettles ( Chrysaora quinquecirrha ) in Chesapeake Bay. 197. 467–478. 1 indexed citations
17.
Wang, Harry V. & Sung‐Chan Kim. (2000). Simulation of Tunnel Island and Bridge Piling Effects in a Tidal Estuary. Estuarine and Coastal Modeling. 250–269.
18.
Wang, Harry V., Billy H. Johnson, & Carl F. Cerco. (1998). The Chesapeake Bay Experience. Estuarine and Coastal Modeling. 16–27. 1 indexed citations
19.
Wang, Harry V., et al.. (1996). Application of Vertical Turbulence Closure Schemes in the Chesapeake Bay Circulation Model — A Comparative Study. Estuarine and Coastal Modeling. 283–297. 7 indexed citations
20.
Cialone, Mary A., et al.. (1994). Hydrodynamics and eutrophication model study of Indian River and Rehoboth Bay, Delaware. Defense Technical Information Center (DTIC). 16 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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