K.‐J. S. Kung

1.3k citations
35 papers · 1.0k indexed · h-index 17
Topics
Groundwater flow and contamination studies (19 papers)Soil and Unsaturated Flow (17 papers)Geophysical Methods and Applications (8 papers)

In The Last Decade

K.‐J. S. Kung

32 papers receiving 928 citations

Peers

K.‐J. S. Kung
Comparison fields: 5 of 59
  • Environmental Engineering 586
  • Civil and Structural Engineering 547
  • Water Science and Technology 213
  • Ocean Engineering 187
  • Soil Science 181
Replace Z. Fred Zhang with:
Z. Fred Zhang United States
Werner Attinger Switzerland
Antonio Coppola Italy
J. Leuenberger Switzerland
Nobuo Toride Japan
D. B. Jaynes United States
Y. Mualem Israel
Barry J. Allred United States
Paola Rossi Pisa Italy
Miroslav Šejna United States
K.‐J. S. Kung relative to Z. Fred Zhang United States Z. Fred Zhang's profile →
Citations per field
00.5×1.5×1.8×
Z. Fred Zhang · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 3
2 2
3 0
4 0
5 19
6
Quantifying impact of hydrology on corn grain yield using ground-penetrating radar
3
7 5
8
Surface and subsurface nitrate flow pathways on a watershed scale.
4
9 5
10 110
11
Use of ground-penetrating radar and remotely sensed data to understand yield variability under drought conditions.
4
12 150
13 78
14 22
15 71
16 9
17 19
18 28
19 51
20 50

About K.‐J. S. Kung

K.‐J. S. Kung is a scholar working on Environmental Engineering, Civil and Structural Engineering and Soil Science, having authored 35 papers that have together received 1.0k indexed citations. Recurring topics across this work include Groundwater flow and contamination studies (19 papers), Soil and Unsaturated Flow (17 papers) and Geophysical Methods and Applications (8 papers). The work is most often cited by research in Environmental Engineering (586 citations), Civil and Structural Engineering (547 citations) and Soil Science (181 citations). K.‐J. S. Kung has collaborated with scholars based in United States, Australia and Denmark. Frequent 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. Their work appears in journals such as Water Resources Research, Soil Science Society of America Journal and Geophysics.

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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