Junji Guo
Impact in
- Polymers and Plastics top 2%
- Transition Metal Oxide Nanomaterials
- Conducting polymers and applications
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- Gas Sensing Nanomaterials and Sensors
- Perovskite Materials and Applications
- Advanced Memory and Neural Computing
Papers in
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- Gas Sensing Nanomaterials and Sensors 10
- Advanced Memory and Neural Computing 3
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- Transition Metal Oxide Nanomaterials 13
- Conducting polymers and applications 10
- Co-authors
- Xungang Diao (13 shared papers)Guobo Dong (10 shared papers)Jiang Liu (6 shared papers)Mei Wang (7 shared papers)Yu Xiao (6 shared papers)Zhibin Zhang (6 shared papers)Xiaolan Zhong (5 shared papers)Qirong Liu (5 shared papers)
In The Last Decade
Junji Guo
24 papers receiving 630 citations
Peers
Comparison fields: 5 of 24
- Polymers and Plastics 520
- Electrical and Electronic Engineering 485
- Electronic, Optical and Magnetic Materials 95
- Bioengineering 16
- Materials Chemistry 123
Countries citing papers authored by Junji Guo
This map shows the geographic impact of Junji Guo'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 Junji Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junji Guo more than expected).
Fields of papers citing papers by Junji Guo
This network shows the impact of papers produced by Junji Guo. 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 Junji Guo. The network helps show where Junji Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Junji Guo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 85 | |
| 2 | 2018 | 83 | |
| 3 | 2019 | 74 | |
| 4 | 2021 | 57 | |
| 5 | 2019 | 53 | |
| 6 | 2002 | 45 | |
| 7 | 2017 | 37 | |
| 8 | 2017 | 33 | |
| 9 | 2018 | 33 | |
| 10 | 2018 | 32 | |
| 11 | 2018 | 23 | |
| 12 | 2017 | 18 | |
| 13 | 2022 | 14 | |
| 14 | 2021 | 12 | |
| 15 | 2021 | 12 | |
| 16 | 2020 | 10 | |
| 17 | 2023 | 7 | |
| 18 | 2024 | 7 | |
| 19 | 2025 | 5 | |
| 20 | 2024 | 4 |
About Junji Guo
Junji Guo is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics, Materials Chemistry, Atomic and Molecular Physics, and Optics and Electronic, Optical and Magnetic Materials, having authored 24 papers that have together received 652 indexed citations. Recurring topics across this work include Transition Metal Oxide Nanomaterials (13 papers), Conducting polymers and applications (10 papers), Gas Sensing Nanomaterials and Sensors (10 papers), 2D Materials and Applications (4 papers), Advanced Chemical Physics Studies (3 papers), Advanced Memory and Neural Computing (3 papers), Inorganic Chemistry and Materials (3 papers) and Nanocluster Synthesis and Applications (2 papers). The work is most often cited by research in Polymers and Plastics (520 citations), Electrical and Electronic Engineering (485 citations), Electronic, Optical and Magnetic Materials (95 citations), Bioengineering (16 citations) and Materials Chemistry (123 citations). Junji Guo has collaborated with scholars based in China, Sweden and Belgium. Frequent co-authors include Xungang Diao, Guobo Dong, Jiang Liu, Mei Wang, Yu Xiao, Zhibin Zhang, Xiaolan Zhong, Qirong Liu, Hang Yu and Junying Zhang. Their work appears in journals such as Electrochimica Acta, Solar Energy Materials and Solar Cells, ACS Applied Materials & Interfaces, Energy Technology and Journal of Computational 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.