Haihe Gao

18 total papers · 966 total citations
13 papers, 728 citations indexed

About

Haihe Gao is a scholar working on Plant Science, Soil Science and Pollution. According to data from OpenAlex, Haihe Gao has authored 13 papers receiving a total of 728 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Plant Science, 6 papers in Soil Science and 3 papers in Pollution. Recurrent topics in Haihe Gao's work include Irrigation Practices and Water Management (6 papers), Rice Cultivation and Yield Improvement (5 papers) and Plant responses to water stress (4 papers). Haihe Gao is often cited by papers focused on Irrigation Practices and Water Management (6 papers), Rice Cultivation and Yield Improvement (5 papers) and Plant responses to water stress (4 papers). Haihe Gao collaborates with scholars based in China, United States and Canada. Haihe Gao's co-authors include Changrong Yan, Qin Liu, Baoqing Chen, Weili Ding, Zhen Li, Xurong Mei, Daozhi Gong, Karen Mancl, Xiao Yang and Zhen Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Hazardous Materials.

In The Last Decade

Haihe Gao

10 papers receiving 718 citations

Hit Papers

Effects of plastic mulchi... 2018 2026 2020 2023 2018 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Haihe Gao 344 308 223 194 139 13 728
Zihan Liu 231 0.7× 300 1.0× 168 0.8× 208 1.1× 82 0.6× 48 791
Wang Xiao 249 0.7× 342 1.1× 190 0.9× 324 1.7× 171 1.2× 43 852
Robert W. Brown 409 1.2× 200 0.6× 203 0.9× 128 0.7× 274 2.0× 33 851
Ze‐Ying Zhao 430 1.3× 154 0.5× 216 1.0× 142 0.7× 208 1.5× 36 774
Adam O’Toole 231 0.7× 290 0.9× 123 0.6× 97 0.5× 113 0.8× 13 767
Marija Prodana 140 0.4× 398 1.3× 89 0.4× 140 0.7× 154 1.1× 20 696
Marie English 483 1.4× 232 0.8× 237 1.1× 245 1.3× 335 2.4× 13 881
Rivka B. Fidel 180 0.5× 300 1.0× 177 0.8× 90 0.5× 170 1.2× 11 834
B. P. Singh 197 0.6× 510 1.7× 125 0.6× 153 0.8× 244 1.8× 15 894
J. C. Voundi Nkana 107 0.3× 236 0.8× 111 0.5× 116 0.6× 110 0.8× 11 725

Countries citing papers authored by Haihe Gao

Since Specialization
Citations

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

Fields of papers citing papers by Haihe Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haihe Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Haihe Gao. A scholar is included among the top collaborators of Haihe Gao 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 Haihe Gao. Haihe Gao 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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