Guo-Hua Dao

46 total papers · 2.0k total citations
40 papers, 1.5k citations indexed

About

Guo-Hua Dao is a scholar working on Environmental Chemistry, Renewable Energy, Sustainability and the Environment and Water Science and Technology. According to data from OpenAlex, Guo-Hua Dao has authored 40 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Environmental Chemistry, 16 papers in Renewable Energy, Sustainability and the Environment and 12 papers in Water Science and Technology. Recurrent topics in Guo-Hua Dao's work include Aquatic Ecosystems and Phytoplankton Dynamics (20 papers), Algal biology and biofuel production (16 papers) and Marine and coastal ecosystems (9 papers). Guo-Hua Dao is often cited by papers focused on Aquatic Ecosystems and Phytoplankton Dynamics (20 papers), Algal biology and biofuel production (16 papers) and Marine and coastal ecosystems (9 papers). Guo-Hua Dao collaborates with scholars based in China, United States and Canada. Guo-Hua Dao's co-authors include Hong‐Ying Hu, Tianyuan Zhang, Xiaoxiong Wang, Yin-Hu Wu, Lin-Lan Zhuang, Xinmin Zhan, Guangxue Wu, Yi Tao, X. Q. Xu and Jinghan Wang and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, The Science of The Total Environment and Water Research.

In The Last Decade

Guo-Hua Dao

39 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Guo-Hua Dao 829 510 257 255 234 40 1.5k
Enrique Torres 757 0.9× 270 0.5× 208 0.8× 273 1.1× 152 0.6× 50 1.9k
Ana Teresa Lombardi 838 1.0× 612 1.2× 291 1.1× 169 0.7× 123 0.5× 95 1.9k
Amrik Singh Ahluwalia 629 0.8× 336 0.7× 96 0.4× 201 0.8× 249 1.1× 74 1.8k
Andy Shilton 1.2k 1.4× 475 0.9× 211 0.8× 245 1.0× 542 2.3× 29 1.9k
Jinghan Wang 1.5k 1.8× 402 0.8× 187 0.7× 198 0.8× 250 1.1× 74 2.2k
Junping Lv 558 0.7× 267 0.5× 185 0.7× 272 1.1× 179 0.8× 109 1.4k
Rosa Olivia Cañizares–Villanueva 827 1.0× 294 0.6× 110 0.4× 187 0.7× 131 0.6× 31 1.5k
Hee-Sik Kim 990 1.2× 452 0.9× 343 1.3× 173 0.7× 186 0.8× 19 2.1k
Y. Azov 616 0.7× 319 0.6× 389 1.5× 124 0.5× 276 1.2× 25 1.3k
Sudharsanam Abinandan 759 0.9× 264 0.5× 72 0.3× 139 0.5× 169 0.7× 55 1.4k

Countries citing papers authored by Guo-Hua Dao

Since Specialization
Citations

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

Fields of papers citing papers by Guo-Hua Dao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guo-Hua Dao. 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 Guo-Hua Dao. The network helps show where Guo-Hua Dao may publish in the future.

Co-authorship network of co-authors of Guo-Hua Dao

This figure shows the co-authorship network connecting the top 25 collaborators of Guo-Hua Dao. A scholar is included among the top collaborators of Guo-Hua Dao 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 Guo-Hua Dao. Guo-Hua Dao 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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