Hainan Ai

2.3k citations
47 papers · 1.9k indexed · 1 hit paper · h-index 21

Hainan Ai

45 papers receiving 1.9k citations

Hit Papers

Phytoplankton response to polystyrene microplastics: Pers...5322018202620202023100200300400500

Peers

Hainan Ai
Comparison fields: 5 of 101
  • Pollution 897
  • Industrial and Manufacturing Engineering 430
  • Water Science and Technology 391
  • Environmental Chemistry 273
  • Building and Construction 349
Replace Shohei Riya with:
Shohei Riya Japan
Alessandra Carucci Italy
Meltem Urgun‐Demirtas United States
Jörgen Ejlertsson Sweden
Qiuling Dang China
Yingmu Wang China
Tian Yuan Japan
Kang Song China
Chaowei Zhu China
Taira Hidaka Japan
Hainan Ai relative to Shohei Riya Japan Shohei Riya's profile →
Citations per field
00.5×
Shohei Riya · 1×
Citations per year

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

The 25 scholars most cited alongside Hainan Ai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hainan Ai Line = papers co-authored together Hainan Ai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20240
4 20233
5 20223
6 202139
7 202010
8 202018
9 202087
10 202019
11 201938
12 201975
13 201924
14 201932
15 201942
16 20184
17
Phytoplankton response to polystyrene microplastics: Perspective from an entire growth periodbreakdown →
2018532
18 201816
19 201887
20
Design Example of Integrated Treatment Engineering of Rural Environment in Three Gorges Reservoir Region
20122

About Hainan Ai

Hainan Ai is a scholar working on Pollution, Process Chemistry and Technology and Environmental Chemistry, having authored 47 papers that have together received 1.9k indexed citations. Recurring topics across this work include Wastewater Treatment and Nitrogen Removal (20 papers), Anaerobic Digestion and Biogas Production (10 papers), Microbial Fuel Cells and Bioremediation (8 papers), Aquatic Ecosystems and Phytoplankton Dynamics (8 papers), Marine and coastal ecosystems (8 papers), Water Treatment and Disinfection (6 papers), Microbial Community Ecology and Physiology (4 papers) and Ammonia Synthesis and Nitrogen Reduction (4 papers). The work is most often cited by research in Pollution (897 citations), Industrial and Manufacturing Engineering (430 citations) and Water Science and Technology (391 citations). Hainan Ai has collaborated with scholars based in China, Bangladesh and Australia. Frequent 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. Their work appears in journals such as Environmental Science & Technology, PLoS ONE and The Science of The Total Environment.

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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