Deying Tang
Impact in
- Environmental Engineering top 1%
- Groundwater flow and contamination studies
- CO2 Sequestration and Geologic Interactions
-
- Soil and Unsaturated Flow
Papers in
-
- Groundwater flow and contamination studies 4
- Hydrological Forecasting Using AI 1
-
- Soil and Unsaturated Flow 2
- Concrete and Cement Materials Research 1
- Geotechnical Engineering and Underground Structures 1
- Co-authors
- E. A. Sudicky (1 shared paper)Emil O. Frind (1 shared paper)Martinus Th. van Genuchten (1 shared paper)D.W. Peaceman (1 shared paper)George F. Pinder (2 shared papers)Paul S. Malchesky (1 shared paper)Michiaki Matsushita (1 shared paper)Charles R. Davies (1 shared paper)
- Journals
- Advances in Water Resources (2 papers)Water Resources Research (2 papers)PLoS ONE (1 paper)The International Journal of Artificial Organs (1 paper)SPE Reservoir Engineering (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Deying Tang
6 papers receiving 662 citations
Deying Tang's Hit Papers
Peers
Comparison fields: 5 of 52
- Environmental Engineering 757
- Civil and Structural Engineering 472
- Geochemistry and Petrology 117
- Mechanical Engineering 371
- Geophysics 73
Countries citing papers authored by Deying Tang
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
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-authors
The 12 scholars most cited alongside Deying Tang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Contaminant transport in fractured porous media: Analytical solution for a single fracture Hit paper breakdown → | 1981 | 664 |
| 2 | 1984 | 100 | |
| 3 | 1987 | 19 | |
| 4 | 1979 | 5 | |
| 5 | 1989 | 2 | |
| 6 | 1979 | 1 | |
| 7 | 2025 | 0 |
About Deying Tang
Deying Tang is a scholar working on Environmental Engineering, Civil and Structural Engineering, Industrial and Manufacturing Engineering, Molecular Biology and Mathematical Physics, having authored 7 papers that have together received 791 indexed citations. Recurring topics across this work include Groundwater flow and contamination studies (4 papers), Landfill Environmental Impact Studies (2 papers), Soil and Unsaturated Flow (2 papers), Hydrological Forecasting Using AI (1 paper), Concrete and Cement Materials Research (1 paper), Geotechnical Engineering and Underground Structures (1 paper), NMR spectroscopy and applications (1 paper) and Reservoir Engineering and Simulation Methods (1 paper). The work is most often cited by research in Environmental Engineering (757 citations), Civil and Structural Engineering (472 citations), Geochemistry and Petrology (117 citations), Mechanical Engineering (371 citations) and Geophysics (73 citations). Deying Tang has collaborated with scholars based in United States and China. Frequent co-authors include E. A. Sudicky, Emil O. Frind, Martinus Th. van Genuchten, D.W. Peaceman, George F. Pinder, Paul S. Malchesky, Michiaki Matsushita, Charles R. Davies, Bin Xiong and Yoshitaro Nose. Their work appears in journals such as Advances in Water Resources, Water Resources Research, PLoS ONE, The International Journal of Artificial Organs and SPE Reservoir Engineering.
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.