Jun Zhai

3.4k citations
141 papers · 2.6k · h-index 29

Impact in

Papers in

Jun Zhai

134 papers receiving 2.6k citations

Peers

Jun Zhai
Comparison fields: 5 of 134
  • Industrial and Manufacturing Engineering 577
  • Water Science and Technology 865
  • Pollution 582
  • Renewable Energy, Sustainability and the Environment 707
  • Environmental Chemistry 185
Replace Xiaomin Hu with:
Xiaomin Hu China
Cláudio Augusto Oller do Nascimento Brazil
Ali Yuzir Malaysia
Elena-Niculina Drăgoi Romania
Claudio A. Zaror Chile
Veeriah Jegatheesan Australia
Xuan Cuong Nguyen Vietnam
Chaolin Li China
Chunyan Du China
Hongliang Dai China
Jun Zhai relative to Xiaomin Hu China Xiaomin Hu's profile →
Citations per field
00.5×1.5×2.0×
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 141 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018156
2 2020133
3 201892
4 202087
5 201479
6 201975
7 201771
8 201866
9 201761
10 202261
11 201460
12 202058
13 201950
14 201147
15 201946
16 201144
17 201443
18 201643
19 200742
20 201642

About Jun Zhai

Jun Zhai is a scholar working on Water Science and Technology, Artificial Intelligence, Information Systems, Industrial and Manufacturing Engineering and Pollution, having authored 141 papers that have together received 2.6k indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (24 papers), Semantic Web and Ontologies (22 papers), Constructed Wetlands for Wastewater Treatment (17 papers), Wastewater Treatment and Nitrogen Removal (17 papers), Advanced oxidation water treatment (13 papers), Advanced Computational Techniques and Applications (13 papers), Coagulation and Flocculation Studies (11 papers) and Advanced Photocatalysis Techniques (10 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (577 citations), Water Science and Technology (865 citations), Pollution (582 citations), Renewable Energy, Sustainability and the Environment (707 citations) and Environmental Chemistry (185 citations). Jun Zhai has collaborated with scholars based in China, Poland and Bangladesh. Frequent co-authors include Haoxuan Wei, Wei Li, Md. Hasibur Rahaman, Quanfeng Wang, Qiang He, Wenbo Liu, Jacek Mąkinia, Li Gu, Xiaoting Li and Jujiao Zhao. Their work appears in journals such as Chemical Engineering Journal, The Science of The Total Environment, Environmental Technology, Journal of environmental chemical engineering and Water Science & 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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