Haokun Bai

468 total citations
12 papers, 375 citations indexed

About

Haokun Bai is a scholar working on Renewable Energy, Sustainability and the Environment, Materials Chemistry and Water Science and Technology. According to data from OpenAlex, Haokun Bai has authored 12 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Renewable Energy, Sustainability and the Environment, 10 papers in Materials Chemistry and 6 papers in Water Science and Technology. Recurrent topics in Haokun Bai's work include Advanced Photocatalysis Techniques (11 papers), Catalytic Processes in Materials Science (6 papers) and Advanced oxidation water treatment (5 papers). Haokun Bai is often cited by papers focused on Advanced Photocatalysis Techniques (11 papers), Catalytic Processes in Materials Science (6 papers) and Advanced oxidation water treatment (5 papers). Haokun Bai collaborates with scholars based in China and Australia. Haokun Bai's co-authors include Cuiwei Du, Haijin Liu, Xie Quan, Shuo Chen, Hongtao Yu, Lin Yang, Shanqing Zhang, Meng Li, Shengsen Zhang and Peike Cao and has published in prestigious journals such as Angewandte Chemie International Edition, Water Research and Journal of Hazardous Materials.

In The Last Decade

Haokun Bai

10 papers receiving 373 citations

Peers

Haokun Bai
Comparison fields: 5 of 32
  • Renewable Energy, Sustainability and the Environment 284
  • Materials Chemistry 223
  • Electrical and Electronic Engineering 137
  • Water Science and Technology 101
  • Organic Chemistry 36
Replace Dengqian Chen with:
Dengqian Chen China
Lipeng Jiang China
Mengying Qian China
Linh Xuan Nong Vietnam
Shan Xie China
Aneek Kuila India
Caimei Lu China
Longlu Wang China
Yunlong Lan China
Parisa Yekan Motlagh Iran
Dengqian Chen China View profile →
Citations per field, relative to Haokun Bai
Haokun Bai · 1×
Citations per year, relative to Haokun Bai
Haokun Bai · 1×

Countries citing papers authored by Haokun Bai

Since Specialization
Citations

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

Fields of papers citing papers by Haokun Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haokun Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Haokun Bai. A scholar is included among the top collaborators of Haokun Bai 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 Haokun Bai. Haokun Bai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
# Work Indexed citations
1 0
2 4
3 0
4 11
5 25
6 16
7 27
8 1
9 76
10 145
11 59
12 11

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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2026