Tang De-shan

109 total papers · 1.3k total citations
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), Hydrology and Watershed Management Studies (7 papers) and Water Resources and Sustainability (7 papers). Tang De-shan is often cited by papers focused on Water resources management and optimization (14 papers), Hydrology and Watershed Management Studies (7 papers) and Water Resources and Sustainability (7 papers). Tang De-shan collaborates with scholars based in China, United States and Taiwan. Tang De-shan's co-authors include Bin Gao, Ijaz Ahmad, Mei Wang, Bakhtawar Wagan, Tianfang Wang, 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... 2015 2026 2018 2022 2015 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tang De-shan 434 369 232 137 134 54 1.0k
Xiaoyan Wang 805 1.9× 338 0.9× 162 0.7× 104 0.8× 124 0.9× 63 1.2k
Chao Deng 470 1.1× 353 1.0× 226 1.0× 82 0.6× 171 1.3× 61 1.0k
Muhammad Raza Ul Mustafa 483 1.1× 284 0.8× 233 1.0× 97 0.7× 37 0.3× 80 1.2k
Yuhang Zhang 318 0.7× 308 0.8× 245 1.1× 185 1.4× 37 0.3× 79 1.2k
Megersa Olumana Dinka 487 1.1× 329 0.9× 310 1.3× 37 0.3× 117 0.9× 101 1.2k
Hui Xu 233 0.5× 330 0.9× 118 0.5× 120 0.9× 52 0.4× 41 930
Saeed Shojaei 397 0.9× 198 0.5× 208 0.9× 57 0.4× 36 0.3× 49 1.1k
Daisuke Komori 510 1.2× 581 1.6× 172 0.7× 166 1.2× 98 0.7× 80 1.1k
Morten Andreas Dahl Larsen 360 0.8× 358 1.0× 297 1.3× 269 2.0× 70 0.5× 59 1.2k
Seo Jin Ki 483 1.1× 134 0.4× 278 1.2× 80 0.6× 40 0.3× 69 1.1k

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

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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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