Hailong Mao

13 total papers · 818 total citations
10 papers, 672 citations indexed

About

Hailong Mao is a scholar working on Pollution, Biomaterials and Soil Science. According to data from OpenAlex, Hailong Mao has authored 10 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pollution, 4 papers in Biomaterials and 4 papers in Soil Science. Recurrent topics in Hailong Mao's work include Composting and Vermicomposting Techniques (4 papers), biodegradable polymer synthesis and properties (3 papers) and Microplastics and Plastic Pollution (2 papers). Hailong Mao is often cited by papers focused on Composting and Vermicomposting Techniques (4 papers), biodegradable polymer synthesis and properties (3 papers) and Microplastics and Plastic Pollution (2 papers). Hailong Mao collaborates with scholars based in China and United States. Hailong Mao's co-authors include Yu Tian, Ke Wang, Xiangkun Li, Ke Wang, Zhe Wang, Chu Chu, Ke Wang, Nanqi Ren, Zhe Wang and Tingting Su and has published in prestigious journals such as Journal of Hazardous Materials, Bioresource Technology and Polymer Degradation and Stability.

In The Last Decade

Hailong Mao

10 papers receiving 669 citations

Author Peers

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

Author Last Decade Papers Cites
Hailong Mao 441 306 171 121 90 10 672
Ruju Zhang 433 1.0× 221 0.7× 146 0.9× 146 1.2× 33 0.4× 16 610
Qiuqi Niu 389 0.9× 294 1.0× 115 0.7× 142 1.2× 38 0.4× 20 629
Mingzi Shi 397 0.9× 258 0.8× 206 1.2× 173 1.4× 26 0.3× 12 647
Yue Han 435 1.0× 233 0.8× 168 1.0× 123 1.0× 23 0.3× 18 617
Kaizhi Xie 292 0.7× 209 0.7× 271 1.6× 125 1.0× 37 0.4× 25 657
Siyuan Sheng 440 1.0× 243 0.8× 170 1.0× 123 1.0× 21 0.2× 17 640
Peizhi Xu 317 0.7× 213 0.7× 341 2.0× 128 1.1× 39 0.4× 32 756
Parimala Gnana Soundari Arockiam Jeyasundar 162 0.4× 275 0.9× 182 1.1× 60 0.5× 90 1.0× 19 660
Yaser A. Almaroai 198 0.4× 308 1.0× 318 1.9× 54 0.4× 106 1.2× 23 762
Aziz Shiralipour 240 0.5× 281 0.9× 219 1.3× 120 1.0× 49 0.5× 15 703

Countries citing papers authored by Hailong Mao

Since Specialization
Citations

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

Fields of papers citing papers by Hailong Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hailong Mao

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