Tang De-shan

1.3k total citations · 1 hit paper
54 papers, 1.0k citations indexed

About

Tang De-shan is a scholar working on Water Science and Technology, Ocean Engineering and Global and Planetary Change. According to data from OpenAlex, Tang De-shan has authored 54 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Water Science and Technology, 14 papers in Ocean Engineering and 11 papers in Global and Planetary Change. Recurrent topics in Tang De-shan's work include Water resources management and optimization (14 papers), Water Resources and Sustainability (7 papers) and Hydrology and Watershed Management Studies (7 papers). Tang De-shan is often cited by papers focused on Water resources management and optimization (14 papers), Water Resources and Sustainability (7 papers) and Hydrology and Watershed Management Studies (7 papers). Tang De-shan collaborates with scholars based in China, United States and Netherlands. Tang De-shan's co-authors include Bin Gao, Ijaz Ahmad, Mei Wang, Tianfang Wang, Bakhtawar Wagan, Mei Wang, Congrong Yu, Yifan Ding, Huichao Dai and Xianqiang Yin and has published in prestigious journals such as The Science of The Total Environment, Journal of Hazardous Materials and Environmental Pollution.

In The Last Decade

Tang De-shan

53 papers receiving 1.0k citations

Hit Papers

Precipitation Trends over Time Using Mann-Kendall and Spe... 2015 2026 2018 2022 2015 100 200 300
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.

  1. Precipitation Trends over Time Using Mann-Kendall and Spearman’s rho Tests in Swat River Basin, Pakistan
    2015 354 citations Ijaz Ahmad, Tang De-shan et al. Advances in Meteorology profile →

Peers

Tang De-shan
Xiaoyan Wang China
Zihang Fang China
Huimin Wang China
Robert Link United States
Brijesh Kumar Yadav India
Seiyed Mossa Hosseini Iran
Muhammad Raza Ul Mustafa Malaysia
Ranjan Sarukkalige Australia
Yuhang Zhang China
Xiaoyan Wang China
Tang De-shan
Citations per year, relative to Tang De-shan Tang De-shan (= 1×) peers Xiaoyan Wang

Countries citing papers authored by Tang De-shan

Since Specialization
Citations

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

Fields of papers citing papers by Tang De-shan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tang De-shan

This figure shows the co-authorship network connecting the top 25 collaborators of Tang De-shan. A scholar is included among the top collaborators of Tang De-shan 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 Tang De-shan. Tang De-shan 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
1.
Fang, Zhou, Qin Zhou, Yong Jiang, et al.. (2024). Nature's hand in megacity cluster progress: Integrating SDG11 with ecosystem service dynamics. Sustainable Cities and Society. 108. 105471–105471. 7 indexed citations
2.
Yan, Xiang, Zhou Fang, Qin Zhou, et al.. (2024). Proposing carbon reduction strategies for mega-urban agglomerations − a cluster analysis based on carbon emission intensity. Ecological Indicators. 166. 112336–112336. 2 indexed citations
3.
Zhang, Jinxin, et al.. (2023). A Regional Water Resource Allocation Model Based on the Human–Water Harmony Theory in the Yellow River Basin. Water. 15(7). 1388–1388. 5 indexed citations
4.
Tang, Xiaoyang, Tang De-shan, & Fulin Zhang. (2023). A Framework for Algorithmic Improvement to Mitigate the Effects of Equifinality in the Calibration of High-dimensional Parameters for Hydrological Models. Water Resources Management. 38(1). 251–267. 2 indexed citations
5.
Li, Nan, Mingjiang Deng, Tang De-shan, et al.. (2022). Government Participation in Supply Chain Low-Carbon Technology R&D and Green Marketing Strategy Optimization. Sustainability. 14(14). 8342–8342. 14 indexed citations
6.
Tang, Xiaoyang, et al.. (2018). Source apportionment of agricultural nonpoint source pollution in the Hanjiang River Basin.. Nongye huanjing kexue xuebao. 37(10). 2242–2251. 3 indexed citations
7.
Wang, Mei, Bin Gao, & Tang De-shan. (2016). Review of key factors controlling engineered nanoparticle transport in porous media. Journal of Hazardous Materials. 318. 233–246. 138 indexed citations
8.
Ahmad, Ijaz, Tang De-shan, Tianfang Wang, Mei Wang, & Bakhtawar Wagan. (2015). Precipitation Trends over Time Using Mann-Kendall and Spearman’s rho Tests in Swat River Basin, Pakistan. Advances in Meteorology. 2015. 1–15. 354 indexed citations breakdown →
9.
Zhang, Jinxin, Tang De-shan, Ijaz Ahmad, & Mei Wang. (2015). River–human harmony model to evaluate the relationship between humans and water in river basin. Current Science. 109(6). 1130–1130. 2 indexed citations
10.
De-shan, Tang. (2012). Water Resources Allocation Schemes Evaluation Based on Improved Matter-element Model. Water Resources and Power. 1 indexed citations
11.
De-shan, Tang. (2011). Analysis of Runoff Variation of Zhengyixia Section in Heihe River Based on SPSS Model. Water Resources and Power. 1 indexed citations
12.
De-shan, Tang. (2010). Optimization of training patterns of urban river in China's northwestern cities. Journal of Hohai University. 1 indexed citations
13.
De-shan, Tang. (2009). A Study of the Crises of Supply Chain Management under the Milk Powder Event. Journal of Business Economics.
14.
Li, Shihua & Tang De-shan. (2008). Crises in Supply Chain Management from the Calculus Milk Powder Event. 36. 477–480. 1 indexed citations
15.
De-shan, Tang, et al.. (2007). Study on Social Benefit Post-evaluation Content of the Agricultural Water-saving Project in Northwest China. Anhui nongye kexue. 35(5). 1516–1517. 1 indexed citations
16.
De-shan, Tang. (2007). Effect Analysis on Water Diversion and Short-Term Management of Heihe River Based on Rescaled Range Analysis Method. 3 indexed citations
17.
De-shan, Tang. (2005). Water environment status and counter measures in Xinjiang. 1 indexed citations
18.
De-shan, Tang & Xiaomin Li. (2005). Optimal Allocation of Water Resources in River Basin. 1 indexed citations
19.
De-shan, Tang. (1995). Optimal allocation of water resources in large river basins: II. Application to Yellow River Basin. Water Resources Management. 9(1). 53–66. 5 indexed citations
20.
De-shan, Tang. (1995). Optimal allocation of water resources in large river basins: I. Theory. Water Resources Management. 9(1). 39–51. 9 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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