Junqing Wei
Impact in
- Sensory Systems top 10%
-
- 2D Materials and Applications
- MXene and MAX Phase Materials
- Graphene research and applications
Papers in
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- Advanced Memory and Neural Computing 9
- Gas Sensing Nanomaterials and Sensors 6
-
- Nanowire Synthesis and Applications 6
- Advanced Sensor and Energy Harvesting Materials 4
- Co-authors
- Kuibo Lan (16 shared papers)Guoxuan Qin (14 shared papers)Kailiang Zhang (19 shared papers)Ruibing Chen (11 shared papers)Fang Wang (14 shared papers)Zhi Wang (11 shared papers)Baojun Zhang (5 shared papers)Jiajun Wang (1 shared paper)
- Journals
- Talanta (3 papers)Applied Thermal Engineering (2 papers)Sensors and Actuators B Chemical (2 papers)Nanotechnology (2 papers)ACS Applied Materials & Interfaces (2 papers)
- Partner nations
- ChinaUnited StatesNorway
In The Last Decade
Junqing Wei
47 papers receiving 575 citations
Peers
Comparison fields: 5 of 86
- Sensory Systems 28
- Materials Chemistry 213
- Bioengineering 24
- Electrical and Electronic Engineering 184
- Molecular Medicine 15
Countries citing papers authored by Junqing Wei
This map shows the geographic impact of Junqing Wei'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 Junqing Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junqing Wei more than expected).
Fields of papers citing papers by Junqing Wei
This network shows the impact of papers produced by Junqing Wei. 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 Junqing Wei. The network helps show where Junqing Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Junqing Wei, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 109 | |
| 2 | 2021 | 48 | |
| 3 | 2022 | 34 | |
| 4 | 2021 | 33 | |
| 5 | 2019 | 32 | |
| 6 | 2022 | 28 | |
| 7 | 2023 | 27 | |
| 8 | 2021 | 27 | |
| 9 | 2018 | 19 | |
| 10 | 2021 | 16 | |
| 11 | 2024 | 16 | |
| 12 | 2019 | 16 | |
| 13 | 2023 | 12 | |
| 14 | 2022 | 12 | |
| 15 | 2021 | 11 | |
| 16 | 2020 | 11 | |
| 17 | 2021 | 11 | |
| 18 | 2019 | 10 | |
| 19 | 2023 | 9 | |
| 20 | 2022 | 9 |
About Junqing Wei
Junqing Wei is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Materials Chemistry, Cellular and Molecular Neuroscience and Molecular Biology, having authored 51 papers that have together received 582 indexed citations. Recurring topics across this work include 2D Materials and Applications (12 papers), Advanced Memory and Neural Computing (9 papers), Nanowire Synthesis and Applications (6 papers), Gas Sensing Nanomaterials and Sensors (6 papers), Olfactory and Sensory Function Studies (5 papers), MXene and MAX Phase Materials (5 papers), Advanced Sensor and Energy Harvesting Materials (4 papers) and Neuroscience and Neural Engineering (4 papers). The work is most often cited by research in Sensory Systems (28 citations), Materials Chemistry (213 citations), Bioengineering (24 citations), Electrical and Electronic Engineering (184 citations) and Molecular Medicine (15 citations). Junqing Wei has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Kuibo Lan, Guoxuan Qin, Kailiang Zhang, Ruibing Chen, Fang Wang, Zhi Wang, Baojun Zhang, Jiajun Wang, Yinping Miao and Yi Li. Their work appears in journals such as Talanta, Applied Thermal Engineering, Sensors and Actuators B Chemical, Nanotechnology and ACS Applied Materials & Interfaces.
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.