Jun Mo
Impact in
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- Advanced Combustion Engine Technologies
- Automotive Engineering top 10%
- Advanced Battery Technologies Research
Papers in
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- Advanced Battery Materials and Technologies 5
- Indoor and Outdoor Localization Technologies 5
- Advancements in Battery Materials 5
- Advanced battery technologies research 4
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- Advanced Adaptive Filtering Techniques 4
- Co-authors
- Zuohua Huang (4 shared papers)Li Guan (3 shared papers)Chenglong Tang (3 shared papers)Yuping Wu (7 shared papers)Zaichun Liu (5 shared papers)Ke Yang (2 shared papers)Xinhai Yuan (5 shared papers)Xiongwei Wu (3 shared papers)
- Journals
- Sensors (3 papers)Chinese Journal of Chemistry (2 papers)Electronics (2 papers)Fuel (2 papers)ChemElectroChem (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jun Mo
28 papers receiving 640 citations
Peers
Comparison fields: 5 of 49
- Fluid Flow and Transfer Processes 205
- Automotive Engineering 94
- Electronic, Optical and Magnetic Materials 145
- Computational Mechanics 118
- Electrical and Electronic Engineering 324
Countries citing papers authored by Jun Mo
This map shows the geographic impact of Jun Mo'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 Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Mo more than expected).
Fields of papers citing papers by Jun Mo
This network shows the impact of papers produced by Jun Mo. 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 Mo. The network helps show where Jun Mo may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Mo, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 98 | |
| 2 | 2017 | 95 | |
| 3 | 2014 | 68 | |
| 4 | 2015 | 53 | |
| 5 | 2020 | 45 | |
| 6 | 2016 | 43 | |
| 7 | 2014 | 38 | |
| 8 | 2017 | 33 | |
| 9 | 2018 | 28 | |
| 10 | 2013 | 24 | |
| 11 | 2017 | 16 | |
| 12 | 2016 | 15 | |
| 13 | 2017 | 14 | |
| 14 | 2018 | 12 | |
| 15 | 2018 | 11 | |
| 16 | 2018 | 10 | |
| 17 | 2017 | 10 | |
| 18 | 2019 | 7 | |
| 19 | 2017 | 5 | |
| 20 | 2018 | 5 |
About Jun Mo
Jun Mo is a scholar working on Electrical and Electronic Engineering, Computational Mechanics, Aerospace Engineering, Fluid Flow and Transfer Processes and Polymers and Plastics, having authored 28 papers that have together received 649 indexed citations. Recurring topics across this work include Advanced Battery Materials and Technologies (5 papers), Indoor and Outdoor Localization Technologies (5 papers), Advancements in Battery Materials (5 papers), Advanced Combustion Engine Technologies (4 papers), GNSS positioning and interference (4 papers), Advanced battery technologies research (4 papers), Advanced Adaptive Filtering Techniques (4 papers) and Supercapacitor Materials and Fabrication (3 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (205 citations), Automotive Engineering (94 citations), Electronic, Optical and Magnetic Materials (145 citations), Computational Mechanics (118 citations) and Electrical and Electronic Engineering (324 citations). Jun Mo has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zuohua Huang, Li Guan, Chenglong Tang, Yuping Wu, Zaichun Liu, Ke Yang, Xinhai Yuan, Xiongwei Wu, Xiongwei Wu and Zhongliang Deng. Their work appears in journals such as Sensors, Chinese Journal of Chemistry, Electronics, Fuel and ChemElectroChem.
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.