Hainan Ai

2.3k total citations · 1 hit paper
47 papers, 1.9k citations indexed

About

Hainan Ai is a scholar working on Pollution, Environmental Engineering and Building and Construction. According to data from OpenAlex, Hainan Ai has authored 47 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Pollution, 10 papers in Environmental Engineering and 10 papers in Building and Construction. Recurrent topics in Hainan Ai's work include Wastewater Treatment and Nitrogen Removal (20 papers), Anaerobic Digestion and Biogas Production (10 papers) and Microbial Fuel Cells and Bioremediation (8 papers). Hainan Ai is often cited by papers focused on Wastewater Treatment and Nitrogen Removal (20 papers), Anaerobic Digestion and Biogas Production (10 papers) and Microbial Fuel Cells and Bioremediation (8 papers). Hainan Ai collaborates with scholars based in China, Bangladesh and Australia. Hainan Ai's co-authors include Qiang He, Hong Li, Li Kang, Li Gu, Yufeng Mao, Weikang Gu, Wei Li, Zhen‐Yu Zhang, Yi Chen and Peng Zeng and has published in prestigious journals such as Environmental Science & Technology, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Hainan Ai

45 papers receiving 1.9k citations

Hit Papers

Phytoplankton response to polystyrene microplastics: Pers... 2018 2026 2020 2023 2018 100 200 300 400 500

Peers

Hainan Ai
Comparison fields: 5 of 101
  • Pollution 897
  • Industrial and Manufacturing Engineering 430
  • Water Science and Technology 391
  • Biomedical Engineering 365
  • Building and Construction 349
Replace Wei‐Qin Zhuang with:
Wei‐Qin Zhuang New Zealand
Chengran Fang China
G. González-Gil Netherlands
Carmen Gabaldón Spain
Wei Xing China
Tian Yuan Japan
Meltem Urgun‐Demirtas United States
Shengguo Xue China
Yong‐Xiang Ren China
Wei‐Qin Zhuang New Zealand View profile →
Citations per field, relative to Hainan Ai
Hainan Ai · 1×
Citations per year, relative to Hainan Ai
Hainan Ai · 1×

Countries citing papers authored by Hainan Ai

Since Specialization
Citations

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

Fields of papers citing papers by Hainan Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hainan Ai

This figure shows the co-authorship network connecting the top 25 collaborators of Hainan Ai. A scholar is included among the top collaborators of Hainan 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 Hainan Ai. Hainan 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
# Work Indexed citations
1 0
2 1
3 0
4 3
5 3
6 39
7 10
8 18
9 87
10 19
11 38
12 75
13 24
14 32
15 42
16 4
17
Phytoplankton response to polystyrene microplastics: Perspective from an entire growth period breakdown →
532
18 16
19 87
20
Design Example of Integrated Treatment Engineering of Rural Environment in Three Gorges Reservoir Region
2

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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