Jun Zhai

3.3k citations
136 papers · 2.7k · h-index 30

Impact in

Papers in

Jun Zhai

130 papers receiving 2.7k citations

Peers

Jun Zhai
Comparison fields: 5 of 134
  • Industrial and Manufacturing Engineering 564
  • Water Science and Technology 857
  • Pollution 587
  • Renewable Energy, Sustainability and the Environment 711
  • Environmental Chemistry 181
Replace Xiaomin Hu with:
Xiaomin Hu China
Ali Yuzir Malaysia
Cláudio Augusto Oller do Nascimento Brazil
Elena-Niculina Drăgoi Romania
Chaolin Li China
Yongtae Ahn South Korea
Claudio A. Zaror Chile
Xuan Cuong Nguyen Vietnam
Hongliang Dai China
Chunyan Du China
Jun Zhai relative to Xiaomin Hu China Xiaomin Hu's profile →
Citations per field
00.5×1.5×1.8×
Xiaomin Hu · 1×
Citations per year

Countries citing papers authored by Jun Zhai

Since Specialization
Citations

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

Fields of papers citing papers by Jun Zhai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Zhai, 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 Jun Zhai Line = papers co-authored together Jun Zhai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018161
2 2020138
3 201897
4 202089
5 201483
6 201979
7 201777
8 201867
9 202264
10 201763
11 201460
12 202060
13 201951
14 201949
15 201147
16 201145
17 201445
18 201645
19 201643
20 202141

About Jun Zhai

Jun Zhai is a scholar working on Artificial Intelligence, Water Science and Technology, Information Systems, Industrial and Manufacturing Engineering and Pollution, having authored 136 papers that have together received 2.7k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (27 papers), Service-Oriented Architecture and Web Services (26 papers), Constructed Wetlands for Wastewater Treatment (17 papers), Wastewater Treatment and Nitrogen Removal (14 papers), Advanced oxidation water treatment (12 papers), Coagulation and Flocculation Studies (11 papers), Advanced Computational Techniques and Applications (11 papers) and Advanced Photocatalysis Techniques (10 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (564 citations), Water Science and Technology (857 citations), Pollution (587 citations), Renewable Energy, Sustainability and the Environment (711 citations) and Environmental Chemistry (181 citations). Jun Zhai has collaborated with scholars based in China, Poland and Bangladesh. Frequent co-authors include Haoxuan Wei, Md. Hasibur Rahaman, Wei Li, Quanfeng Wang, Qiang He, Wenbo Liu, Jacek Mąkinia, Xiaoting Li, Jujiao Zhao and Li Gu. Their work appears in journals such as Chemical Engineering Journal, The Science of The Total Environment, Environmental Technology, Water Science & Technology and Bioresource Technology.

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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