Shengshu Ai

413 citations
29 papers · 287 indexed · h-index 10
Topics
Wastewater Treatment and Nitrogen Removal (22 papers)Membrane Separation Technologies (10 papers)Constructed Wetlands for Wastewater Treatment (7 papers)
Journals
SHILAP Revista de lepidopterologíaBioresource TechnologyApplied Microbiology and Biotechnology
Partner nations
China

In The Last Decade

Shengshu Ai

28 papers receiving 284 citations

Peers

Shengshu Ai
Comparison fields: 5 of 56
  • Pollution 175
  • Industrial and Manufacturing Engineering 93
  • Health, Toxicology and Mutagenesis 86
  • Water Science and Technology 71
  • Environmental Engineering 69
Replace Mizuhiko Minamiyama with:
Mizuhiko Minamiyama Japan
Antje Welker Germany
Zhan Jin China
Pengyu Qi China
Liu Cheng China
Ana Lorena Esteban García Spain
Chandirane Partibane France
Franz Kevin F. Geronimo South Korea
Alicia N. Gilbreath United States
Yae Wang China
Shengshu Ai relative to Mizuhiko Minamiyama Japan Mizuhiko Minamiyama's profile →
Citations per field
00.5×2.8×
Mizuhiko Minamiyama · 1×
Citations per year

Countries citing papers authored by Shengshu Ai

Since Specialization
Citations

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

Fields of papers citing papers by Shengshu Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengshu Ai

This figure shows the co-authorship network connecting the top 25 collaborators of Shengshu Ai. A scholar is included among the top collaborators of Shengshu Ai 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 Shengshu Ai. Shengshu Ai 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
#WorkIndexed citations
1 1
2 19
3 5
4 1
5 0
6 1
7 21
8 32
9 19
10 2
11 1
12 1
13 6
14 3
15 25
16 14
17 4
18 1
19 28
20 7

About Shengshu Ai

Shengshu Ai is a scholar working on Pollution, Industrial and Manufacturing Engineering and Water Science and Technology, having authored 29 papers that have together received 287 indexed citations. Recurring topics across this work include Wastewater Treatment and Nitrogen Removal (22 papers), Membrane Separation Technologies (10 papers) and Constructed Wetlands for Wastewater Treatment (7 papers). The work is most often cited by research in Pollution (175 citations), Industrial and Manufacturing Engineering (93 citations) and Health, Toxicology and Mutagenesis (86 citations). Shengshu Ai has collaborated with scholars based in China. Frequent co-authors include Dejun Bian, Fan Wang, Suiyi Zhu, Xi Tian, Jiaxi Peng, Yang Jiao, Tingting Xia, Hongxu Wei, Hongyan Li and Mingxin Huo. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioresource Technology and Applied Microbiology and Biotechnology.

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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