Wen Long

981 total citations
31 papers, 712 citations indexed

About

Wen Long is a scholar working on Oceanography, Ecology and Atmospheric Science. According to data from OpenAlex, Wen Long has authored 31 papers receiving a total of 712 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Oceanography, 7 papers in Ecology and 6 papers in Atmospheric Science. Recurrent topics in Wen Long's work include Marine and coastal ecosystems (14 papers), Oceanographic and Atmospheric Processes (9 papers) and Marine Biology and Ecology Research (6 papers). Wen Long is often cited by papers focused on Marine and coastal ecosystems (14 papers), Oceanographic and Atmospheric Processes (9 papers) and Marine Biology and Ecology Research (6 papers). Wen Long collaborates with scholars based in United States, Canada and China. Wen Long's co-authors include Raleigh R. Hood, Raghu Murtugudde, Christopher W. Brown, Tarang Khangaonkar, AL. Ramanathan, Clarissa R. Anderson, Mathew R. P. Sapiano, Wenwei Xu, James T. Kirby and R. Wood and has published in prestigious journals such as Science, The Journal of the Acoustical Society of America and Journal of Applied Microbiology.

In The Last Decade

Wen Long

30 papers receiving 686 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wen Long United States	15	425	209	190	108	92	31	712
R. Wood United States	12	332 0.8×	302 1.4×	412 2.2×	84 0.8×	76 0.8×	16	835
Annie Fiandrino France	17	348 0.8×	210 1.0×	280 1.5×	147 1.4×	43 0.5×	49	753
Colin F. Jago United Kingdom	9	192 0.5×	267 1.3×	105 0.6×	33 0.3×	73 0.8×	10	587
Jean‐Pascal Torréton France	23	868 2.0×	937 4.5×	255 1.3×	216 2.0×	55 0.6×	54	1.4k
Marie‐Fanny Racault United Kingdom	19	925 2.2×	392 1.9×	490 2.6×	63 0.6×	97 1.1×	30	1.2k
Jennifer Graham United Kingdom	14	315 0.7×	136 0.7×	200 1.1×	110 1.0×	226 2.5×	39	719
K. S. Krishna India	20	151 0.4×	111 0.5×	59 0.3×	72 0.7×	123 1.3×	52	970
Martin Maerki Switzerland	6	209 0.5×	183 0.9×	59 0.3×	166 1.5×	113 1.2×	6	473
Maria Lourdes San Diego‐McGlone Philippines	13	293 0.7×	274 1.3×	166 0.9×	137 1.3×	26 0.3×	34	600
Yoav Lehahn Israel	21	676 1.6×	362 1.7×	381 2.0×	102 0.9×	383 4.2×	40	1.2k

Countries citing papers authored by Wen Long

Since Specialization

Citations

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

Fields of papers citing papers by Wen Long

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen Long

This figure shows the co-authorship network connecting the top 25 collaborators of Wen Long. A scholar is included among the top collaborators of Wen Long 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 Wen Long. Wen Long is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

North, Elizabeth W., et al.. (2024). A high resolution hydrodynamic-biogeochemical-oyster-filtration model predicts that the presence of oysters (Crassostrea virginica) can improve, or reduce, water quality depending upon oyster abundance and location. Ecological Modelling. 496. 110833–110833. 2 indexed citations

Clark, J. Blake, Wen Long, & Raleigh R. Hood. (2020). A Comprehensive Estuarine Dissolved Organic Carbon Budget Using an Enhanced Biogeochemical Model. Journal of Geophysical Research Biogeosciences. 125(5). 21 indexed citations

Khangaonkar, Tarang, et al.. (2018). Analysis of Hypoxia and Sensitivity to Nutrient Pollution in Salish Sea. Journal of Geophysical Research Oceans. 123(7). 4735–4761. 46 indexed citations

Clark, J. Blake, Wen Long, & Raleigh R. Hood. (2017). Estuarine Sediment Dissolved Organic Matter Dynamics in an Enhanced Sediment Flux Model. Journal of Geophysical Research Biogeosciences. 122(10). 2669–2682. 12 indexed citations

Khangaonkar, Tarang, et al.. (2016). Sensitivity of Circulation in the Skagit River Estuary to Sea Level Rise and Future Flows. Northwest Science. 90(1). 94–118. 4 indexed citations

Khangaonkar, Tarang, Wen Long, & Wenwei Xu. (2016). Assessment of circulation and inter-basin transport in the Salish Sea including Johnstone Strait and Discovery Islands pathways. Ocean Modelling. 109. 11–32. 51 indexed citations

Long, Wen, et al.. (2015). Modeling of sound in coastal oceans with a finite volume method. The Journal of the Acoustical Society of America. 138(3_Supplement). 1930–1930. 1 indexed citations

Long, Wen, et al.. (2015). The development of a finite volume method for modeling sound in coastal ocean environment. 1–6.

Wang, Taiping, Tarang Khangaonkar, Wen Long, & Gary A. Gill. (2014). Development of a Kelp-Type Structure Module in a Coastal Ocean Model to Assess the Hydrodynamic Impact of Seawater Uranium Extraction Technology. Journal of Marine Science and Engineering. 2(1). 81–92. 14 indexed citations

10.

Thom, Ronald M., Jeffrey L. Gaeckle, Amy B. Borde, et al.. (2014). 20% More Eelgrass in Puget Sound by 2020: Restoration Site Selection. Western CEDAR (Western Washington University). 1 indexed citations

11.

Brown, Christopher W., Raleigh R. Hood, Wen Long, et al.. (2012). Ecological forecasting in Chesapeake Bay: Using a mechanistic–empirical modeling approach. Journal of Marine Systems. 125. 113–125. 53 indexed citations

12.

Khangaonkar, Tarang, et al.. (2012). Simulation of annual biogeochemical cycles of nutrient balance, phytoplankton bloom(s), and DO in Puget Sound using an unstructured grid model. Ocean Dynamics. 62(9). 1353–1379. 52 indexed citations

13.

Ramanathan, AL., Wen Long, Xinsheng Zhang, R. Wood, & Raghu Murtugudde. (2011). Predicting dissolved oxygen in the Chesapeake Bay: applications and implications. Aquatic Sciences. 73(3). 437–451. 19 indexed citations

14.

Anderson, Clarissa R., Mathew R. P. Sapiano, AL. Ramanathan, et al.. (2010). Predicting potentially toxigenic Pseudo-nitzschia blooms in the Chesapeake Bay. Journal of Marine Systems. 83(3-4). 127–140. 85 indexed citations

15.

Long, Wen. (2009). STUDY ON THE TAXONOMY AND GENETIC DIVERGENCE OF ITHAGINIS. Acta Zootaxonomica Sinica. 1 indexed citations

16.

Magny, Guillaume Constantin de, Wen Long, Christopher W. Brown, et al.. (2009). Predicting the Distribution of Vibrio spp. in the Chesapeake Bay: A Vibrio cholerae Case Study. EcoHealth. 6(3). 378–389. 45 indexed citations

17.

Long, Wen. (2008). Habit of Tetraophasis obscurus in Mao County,Sichuan. Dongwuxue zazhi. 1 indexed citations

18.

Long, Wen, James T. Kirby, & Zhiyu Shao. (2007). A numerical scheme for morphological bed level calculations. Coastal Engineering. 55(2). 167–180. 50 indexed citations

19.

Long, Wen, James T. Kirby, & Tian‐Jian Hsu. (2007). CROSS SHORE SANDBAR MIGRATION PREDICTED BY A TIME DOMAIN BOUSSINESQ MODEL INCORPORATING UNDERTOW. 2655–2667. 9 indexed citations

20.

Long, Wen, Tian‐Jian Hsu, & James T. Kirby. (2005). MODELING CROSS-SHORE SEDIMENT TRANSPORT PROCESSES WITH A TIME DOMAIN BOUSSINESQ MODEL. 1874–1886. 8 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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