Jun Gu
- Pollution top 0.5%
- Wastewater Treatment and Nitrogen Removal 24
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- Constructed Wetlands for Wastewater Treatment 5
- Water Science and Technology top 1%
- Membrane Separation Technologies 17
- Environmental Engineering top 2%
- Microbial Fuel Cells and Bioremediation 14
- Catalysis top 5%
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- Drilling and Well Engineering 14
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- Concrete and Cement Materials Research 10
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- Hydraulic Fracturing and Reservoir Analysis 6
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- Membrane-based Ion Separation Techniques 6
- Co-authors
- Yu LiuYingqun MaBin JiYang QinJunfeng WanQian ZhaoMeng ZhangSiyu Wang
In The Last Decade
Jun Gu
73 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 104
- Pollution 1.4k
- Industrial and Manufacturing Engineering 699
- Water Science and Technology 1.0k
- Environmental Engineering 498
- Catalysis 182
Countries citing papers authored by Jun Gu
This map shows the geographic impact of Jun Gu'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 Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Gu more than expected).
Fields of papers citing papers by Jun Gu
This network shows the impact of papers produced by Jun Gu. 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 Gu. The network helps show where Jun Gu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 6 | |
| 6 | 2022 | 55 | |
| 7 | 2021 | 18 | |
| 8 | 2021 | 42 | |
| 9 | 2020 | 30 | |
| 10 | 2019 | 35 | |
| 11 | 2019 | 83 | |
| 12 | 2019 | 54 | |
| 13 | 2019 | 32 | |
| 14 | 2017 | 28 | |
| 15 | 2016 | 135 | |
| 16 | 2016 | 67 | |
| 17 | 2015 | 164 | |
| 18 | Study on tiered level determination of TOU & tiered pricing for residential electricity based on demand response | 2012 | 5 |
| 19 | 2012 | 19 | |
| 20 | Study on method of backwash of enhancing biological activated carbon filter | 2009 | 2 |
About Jun Gu
Jun Gu is a scholar working on Pollution, Water Science and Technology, Industrial and Manufacturing Engineering, Environmental Engineering and Ocean Engineering, having authored 76 papers that have together received 2.8k indexed citations. Recurring topics across this work include Wastewater Treatment and Nitrogen Removal (24 papers), Membrane Separation Technologies (17 papers), Microbial Fuel Cells and Bioremediation (14 papers), Drilling and Well Engineering (14 papers), Concrete and Cement Materials Research (10 papers), Hydraulic Fracturing and Reservoir Analysis (6 papers), Membrane-based Ion Separation Techniques (6 papers) and Constructed Wetlands for Wastewater Treatment (5 papers). The work is most often cited by research in Pollution (1.4k citations), Industrial and Manufacturing Engineering (699 citations), Water Science and Technology (1.0k citations), Environmental Engineering (498 citations) and Catalysis (182 citations). Jun Gu has collaborated with scholars based in China, Singapore and Slovakia. Frequent co-authors include Yu Liu, Yingqun Ma, Bin Ji, Yang Qin, Junfeng Wan, Qian Zhao, Meng Zhang, Meng Zhang, Siyu Wang and Anthony G. Fane. Their work appears in journals such as Bioresource Technology, Water Research, Chemosphere, Journal of Petroleum Science and Engineering and Journal of Membrane Science.
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.