Jun Wang

16.9k citations
448 papers · 14.0k indexed · h-index 66

Jun Wang

428 papers receiving 13.7k citations

Peers

Jun Wang
Comparison fields: 5 of 166
  • Water Science and Technology 6.1k
  • Catalysis 1.6k
  • Renewable Energy, Sustainability and the Environment 2.5k
  • Industrial and Manufacturing Engineering 1.1k
  • Surfaces, Coatings and Films 865
Replace Qilin Li with:
Qilin Li United States
Jiansheng Li China
Tian C. Zhang United States
Majeda Khraisheh Qatar
Tao Zhang China
Abdul Latif Ahmad Malaysia
Hongjun Lin China
Jianxi Zhu China
Fenglin Yang China
Xiwang Zhang Australia
Jun Wang relative to Qilin Li United States Qilin Li's profile →
Citations per field
00.5×1.5×
Qilin Li · 1×
Citations per year

Countries citing papers authored by Jun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 202419
3 20245
4 20244
5 20240
6 202412
7 202411
8 20232
9 20239
10 202311
11 20234
12 20235
13 202312
14 202118
15 202054
16 201817
17 20186
18 2016149
19
TREATMENT OF DYE AQUEOUS SOLUTIONS USING A NOVEL AROMATIC POLYAMIDE ASYMMETRIC NANOFILTRATION MEMBRANE
20103
20
[Distribution character of synthetic musks in urban sewage sludges].
20092

About Jun Wang

Jun Wang is a scholar working on Water Science and Technology, Catalysis, Industrial and Manufacturing Engineering, Renewable Energy, Sustainability and the Environment and Environmental Chemistry, having authored 448 papers that have together received 14.0k indexed citations. Recurring topics across this work include Membrane Separation Technologies (131 papers), Membrane-based Ion Separation Techniques (71 papers), Catalytic Processes in Materials Science (51 papers), Solar-Powered Water Purification Methods (33 papers), Catalysis and Oxidation Reactions (29 papers), Advanced oxidation water treatment (26 papers), Advanced Sensor and Energy Harvesting Materials (24 papers) and Wastewater Treatment and Nitrogen Removal (24 papers). The work is most often cited by research in Water Science and Technology (6.1k citations), Catalysis (1.6k citations), Renewable Energy, Sustainability and the Environment (2.5k citations), Industrial and Manufacturing Engineering (1.1k citations) and Surfaces, Coatings and Films (865 citations). Jun Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Deyin Hou, Zhaokun Luan, Kuiling Li, Yong Zhang, Meiqing Shen, Meiqing Shen, Changwei Zhao, Jian‐Qiang Wang, Tie Yu and Kunpeng Wang. Their work appears in journals such as Journal of Membrane Science, Separation and Purification Technology, Journal of Environmental Sciences, Desalination and Journal of Hazardous Materials.

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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