K.‐J. S. Kung

1.3k total citations
35 papers, 1.0k citations indexed

About

K.‐J. S. Kung is a scholar working on Environmental Engineering, Civil and Structural Engineering and Ocean Engineering. According to data from OpenAlex, K.‐J. S. Kung has authored 35 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Environmental Engineering, 17 papers in Civil and Structural Engineering and 8 papers in Ocean Engineering. Recurrent topics in K.‐J. S. Kung's work include Groundwater flow and contamination studies (19 papers), Soil and Unsaturated Flow (17 papers) and Geophysical Methods and Applications (8 papers). K.‐J. S. Kung is often cited by papers focused on Groundwater flow and contamination studies (19 papers), Soil and Unsaturated Flow (17 papers) and Geophysical Methods and Applications (8 papers). K.‐J. S. Kung collaborates with scholars based in United States, Australia and France. K.‐J. S. Kung's co-authors include Tammo S. Steenhuis, T. J. Gish, Shen‐Haw Ju, Charles S. Helling, E. J. Kladivko, G. D. Bubenzer, M. B. Parlange, Craig S. T. Daughtry, Jan Boll and Kirk W. Weiler and has published in prestigious journals such as Water Resources Research, Soil Science Society of America Journal and Geophysics.

In The Last Decade

K.‐J. S. Kung

32 papers receiving 928 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
K.‐J. S. Kung United States	17	586	547	213	187	181	35	1.0k
Antonio Coppola Italy	23	868 1.5×	857 1.6×	187 0.9×	151 0.8×	350 1.9×	78	1.4k
Nobuo Toride Japan	15	863 1.5×	675 1.2×	162 0.8×	95 0.5×	51 0.3×	27	1.2k
Z. Fred Zhang United States	19	658 1.1×	570 1.0×	136 0.6×	190 1.0×	100 0.6×	56	990
Werner Attinger Switzerland	8	629 1.1×	459 0.8×	74 0.3×	366 2.0×	204 1.1×	9	1.4k
Paola Rossi Pisa Italy	14	259 0.4×	362 0.7×	188 0.9×	120 0.6×	275 1.5×	21	1.0k
J. Leuenberger Switzerland	9	685 1.2×	705 1.3×	290 1.4×	61 0.3×	427 2.4×	12	1.4k
Edwin E. Cey Canada	16	483 0.8×	281 0.5×	447 2.1×	58 0.3×	134 0.7×	31	1.1k
Miroslav Šejna United States	7	1.1k 1.8×	1.3k 2.3×	478 2.2×	86 0.5×	632 3.5×	9	2.0k
D. B. Jaynes United States	20	569 1.0×	484 0.9×	272 1.3×	38 0.2×	425 2.3×	29	1.1k
Barry J. Allred United States	17	338 0.6×	155 0.3×	141 0.7×	298 1.6×	137 0.8×	54	842

Countries citing papers authored by K.‐J. S. Kung

Since Specialization

Citations

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

Fields of papers citing papers by K.‐J. S. Kung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.‐J. S. Kung. 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 K.‐J. S. Kung. The network helps show where K.‐J. S. Kung may publish in the future.

Co-authorship network of co-authors of K.‐J. S. Kung

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Kung, K.‐J. S., et al.. (2023). Embracing change: Invasive species and novel ecosystems. GAIA - Ecological Perspectives for Science and Society. 33(1). 152–157. 2 indexed citations

Montana, Jasper, Tina Heger, Armin Bischoff, et al.. (2023). From novel ecosystems to novel natures. GAIA - Ecological Perspectives for Science and Society. 33(1). 146–151. 3 indexed citations

Gish, T. J., K.‐J. S. Kung, E. J. Kladivko, T. S. Steenhuis, & D. B. Jaynes. (2013). Managerial Impacts on Preferential Fluid Dynamics. 149–152.

Lin, Ying‐Tien, Chin H. Wu, Dante Fratta, & K.‐J. S. Kung. (2010). An integrated acoustic and electromagnetic wave‐based technique to estimate subbottom sediment properties in a freshwater environment. Near Surface Geophysics. 8(3). 213–221. 9 indexed citations

Kung, K.‐J. S., E. J. Kladivko, Charles S. Helling, et al.. (2006). Quantifying the Pore Size Spectrum of Macropore‐Type Preferential Pathways under Transient Flow. Vadose Zone Journal. 5(3). 978–989. 19 indexed citations

Kung, K.‐J. S., Charles S. Helling, E. J. Kladivko, et al.. (2005). Quantifying Pore‐Size Spectrum of Macropore‐Type Preferential Pathways. Soil Science Society of America Journal. 69(4). 1196–1208. 33 indexed citations

Gish, T. J., Craig S. T. Daughtry, C. L. Walthall, & K.‐J. S. Kung. (2004). Quantifying impact of hydrology on corn grain yield using ground-penetrating radar. 493–496. 3 indexed citations

Kung, K.‐J. S., et al.. (2004). A LOW‐INTENSITY, HIGH‐UNIFORMITY WATER APPLICATION SYSTEM. Soil Science Society of America Journal. 68(6). 1833–1837. 5 indexed citations

Daughtry, Craig S. T., T. J. Gish, W. Dulaney, et al.. (2002). Surface and subsurface nitrate flow pathways on a watershed scale.. 155–162. 4 indexed citations

10.

Dulaney, W., Craig S. T. Daughtry, C. L. Walthall, et al.. (2000). Use of ground-penetrating radar and remotely sensed data to understand yield variability under drought conditions.. 1–12. 4 indexed citations

11.

Kung, K.‐J. S., E. J. Kladivko, T. J. Gish, et al.. (2000). Quantifying Preferential Flow by Breakthrough of Sequentially Applied Tracers Silt Loam Soil. Soil Science Society of America Journal. 64(4). 1296–1304. 110 indexed citations

12.

Weiler, Kirk W., Tammo S. Steenhuis, Jan Boll, & K.‐J. S. Kung. (1998). Comparison of Ground Penetrating Radar and Time‐Domain Reflectometry as Soil Water Sensors. Soil Science Society of America Journal. 62(5). 1237–1239. 78 indexed citations

13.

Steenhuis, Tammo S., et al.. (1998). Mapping and interpreting soil textural layers to assess agri-chemical movement at several scales along the eastern seaboard (USA). Nutrient Cycling in Agroecosystems. 50(1-3). 91–97. 5 indexed citations

14.

Ju, Shen‐Haw & K.‐J. S. Kung. (1997). Steady‐State Funnel Flow: Its Characteristics and Impact on Modeling. Soil Science Society of America Journal. 61(2). 416–427. 22 indexed citations

15.

Ju, Shen‐Haw & K.‐J. S. Kung. (1997). Mass types, element orders and solution schemes for the richards equation. Computers & Geosciences. 23(2). 175–187. 71 indexed citations

16.

Ju, Shen‐Haw, K.‐J. S. Kung, & Charles S. Helling. (1997). Simulating Impact of Funnel Flow on Contaminant Sampling. Soil Science Society of America Journal. 61(2). 427–435. 9 indexed citations

17.

Kung, K.‐J. S., et al.. (1996). Simulation of ground-penetrating radar waves in a 2-D soil model. Geophysics. 61(4). 1034–1049. 28 indexed citations

18.

Kung, K.‐J. S., et al.. (1993). Using Ground‐Penetrating Radar to Detect Layers of Discontinuous Dielectric Constant. Soil Science Society of America Journal. 57(2). 335–340. 21 indexed citations

19.

Ju, Shen‐Haw & K.‐J. S. Kung. (1993). Simulating Funnel‐Type Preferential Flow and Overall Flow Property Induced by Multiple Soil Layers. Journal of Environmental Quality. 22(3). 432–442. 15 indexed citations

20.

Kung, K.‐J. S.. (1990). Influence of Plant Uptake on the Performance of Bromide Tracer. Soil Science Society of America Journal. 54(4). 975–979. 50 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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