Gang Nie
- Water Science and Technology top 0.5%
- Advanced oxidation water treatment 13
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- Advanced Photocatalysis Techniques 13
- Pollution top 2%
- Electrochemistry top 5%
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- IPv6, Mobility, Handover, Networks, Security 10
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- Sulfur Compounds in Biology 7
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- Wireless Networks and Protocols 5
- Wireless Communication Networks Research 5
- Mobile Agent-Based Network Management 4
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- Environmental remediation with nanomaterials 5
- Cited by
- Water Science and TechnologyRenewable Energy, Sustainability and the EnvironmentIndustrial and Manufacturing Engineering
- Journals
- Angewandte Chemie International Edition (1 paper)Environmental Science & Technology (2 papers)Analytical Chemistry (1 paper)
- Partner nations
- ChinaAustraliaMontenegro
In The Last Decade
Gang Nie
58 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Water Science and Technology 1.8k
- Renewable Energy, Sustainability and the Environment 1.8k
- Industrial and Manufacturing Engineering 376
- Pollution 402
- Electrochemistry 163
Countries citing papers authored by Gang Nie
This map shows the geographic impact of Gang Nie'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 Gang Nie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gang Nie more than expected).
Fields of papers citing papers by Gang Nie
This network shows the impact of papers produced by Gang Nie. 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 Gang Nie. The network helps show where Gang Nie may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gang Nie, 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 | 2026 | 0 | |
| 2 | 2026 | 0 | |
| 3 | 2026 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 1 | |
| 6 | 2025 | 3 | |
| 7 | 2025 | 0 | |
| 8 | 2025 | 2 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 1 | |
| 11 | 2023 | 22 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 8 | |
| 14 | 2022 | 5 | |
| 15 | 2022 | 135 | |
| 16 | 2021 | 64 | |
| 17 | 2021 | 24 | |
| 18 | 2021 | 40 | |
| 19 | 2020 | 133 | |
| 20 | Development of SSR markers based on transcriptome sequence and analysis of genetic diversity in Sorghum sudanense. | 2018 | 1 |
About Gang Nie
Gang Nie is a scholar working on Biochemistry, Water Science and Technology and Renewable Energy, Sustainability and the Environment, having authored 68 papers that have together received 3.4k indexed citations. Recurring topics across this work include Advanced oxidation water treatment (13 papers), Advanced Photocatalysis Techniques (13 papers), IPv6, Mobility, Handover, Networks, Security (10 papers), Sulfur Compounds in Biology (7 papers), Wireless Networks and Protocols (5 papers), Environmental remediation with nanomaterials (5 papers), Wireless Communication Networks Research (5 papers) and Mobile Agent-Based Network Management (4 papers). The work is most often cited by research in Water Science and Technology (1.8k citations), Renewable Energy, Sustainability and the Environment (1.8k citations) and Industrial and Manufacturing Engineering (376 citations). Gang Nie has collaborated with scholars based in China, Australia and Montenegro. Frequent co-authors include Xiaoguang Duan, Shaobin Wang, Wei Ren, Hui Zhang, Peng Zhou, Liangliang Xiong, Kunsheng Hu, Ling Xiao, Yangyang Yang and Yongli Zhang. Their work appears in journals such as Angewandte Chemie International Edition, Environmental Science & Technology and Analytical Chemistry.
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.