Deying Tang

984 total citations · 1 hit paper
7 papers, 786 citations indexed

About

Deying Tang is a scholar working on Environmental Engineering, Civil and Structural Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Deying Tang has authored 7 papers receiving a total of 786 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Environmental Engineering, 4 papers in Civil and Structural Engineering and 2 papers in Industrial and Manufacturing Engineering. Recurrent topics in Deying Tang's work include Groundwater flow and contamination studies (4 papers), Landfill Environmental Impact Studies (2 papers) and Soil and Unsaturated Flow (2 papers). Deying Tang is often cited by papers focused on Groundwater flow and contamination studies (4 papers), Landfill Environmental Impact Studies (2 papers) and Soil and Unsaturated Flow (2 papers). Deying Tang collaborates with scholars based in United States and China. Deying Tang's co-authors include Emil O. Frind, E. A. Sudicky, Martinus Th. van Genuchten, D.W. Peaceman, George F. Pinder, Michiaki Matsushita, Yifan Chen, Charles R. Davies, Bin Xiong and Yoshitaro Nose and has published in prestigious journals such as PLoS ONE, Water Resources Research and Advances in Water Resources.

In The Last Decade

Deying Tang

6 papers receiving 657 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Contaminant transport in fractured porous media: Analytical solution for a single fracture

1981 659 citations Deying Tang, Emil O. Frind et al. Water Resources Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Deying Tang United States	4	753	471	369	117	104	7	786
Carol Braester Israel	13	374 0.5×	218 0.5×	259 0.7×	48 0.4×	69 0.7×	34	605
V. Cvetkovic Sweden	12	469 0.6×	268 0.6×	181 0.5×	139 1.2×	48 0.5×	15	508
David Lever United Kingdom	11	317 0.4×	167 0.4×	250 0.7×	60 0.5×	70 0.7×	27	601
Paolo Trinchero Sweden	16	464 0.6×	254 0.5×	178 0.5×	101 0.9×	93 0.9×	42	638
A. Barbreau	3	599 0.8×	314 0.7×	425 1.2×	55 0.5×	189 1.8×	3	756
F.V. Hale United States	5	565 0.8×	248 0.5×	390 1.1×	66 0.6×	85 0.8×	7	608
J.S. Remer United States	3	708 0.9×	357 0.8×	447 1.2×	76 0.6×	263 2.5×	4	880
Alex S. Mayer United States	3	519 0.7×	115 0.2×	141 0.4×	68 0.6×	58 0.6×	4	595
Chia‐Shyun Chen Taiwan	11	433 0.6×	191 0.4×	327 0.9×	46 0.4×	22 0.2×	21	476
G. Galarza Spain	6	315 0.4×	170 0.4×	98 0.3×	64 0.5×	28 0.3×	8	357

Countries citing papers authored by Deying Tang

Since Specialization

Citations

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

Fields of papers citing papers by Deying Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deying Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Deying Tang. A scholar is included among the top collaborators of Deying Tang 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 Deying Tang. Deying Tang 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:

7 of 7 papers shown

1.

Sang, H. M., et al.. (2025). Experimental study on soil impermeability based on chemical improvement method. PLoS ONE. 20(10). e0334100–e0334100.

2.

Tang, Deying, et al.. (1989). Temperature Effect on Bilirubin Adsorption with the Anion Exchange Resin BR-601. The International Journal of Artificial Organs. 12(10). 659–663. 2 indexed citations

3.

Tang, Deying & D.W. Peaceman. (1987). New Analytical and Numerical Solutions for the Radial Convection-Dispersion Problem. SPE Reservoir Engineering. 2(3). 343–359. 19 indexed citations

4.

Genuchten, Martinus Th. van, et al.. (1984). Some Exact Solutions for Solute Transport Through Soils Containing Large Cylindrical Macropores. Water Resources Research. 20(3). 335–346. 100 indexed citations

5.

Tang, Deying, Emil O. Frind, & E. A. Sudicky. (1981). Contaminant transport in fractured porous media: Analytical solution for a single fracture. Water Resources Research. 17(3). 555–564. 659 indexed citations breakdown →

6.

Pinder, George F. & Deying Tang. (1979). Reply to the comments by L. W. Gelhar, J. L. Wilson and A. L. Gutjahr on ‘simulation of groundwater flow and mass transport under uncertainty’. Advances in Water Resources. 2. 102–102. 1 indexed citations

7.

Tang, Deying & George F. Pinder. (1979). A direct solution to the inverse problem in groundwater flow. Advances in Water Resources. 2. 97–99. 5 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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