Jun Teng
Impact in
- Artificial Intelligence top 10%
- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
- Civil and Structural Engineering top 10%
- Structural Health Monitoring Techniques
- Concrete Corrosion and Durability
Papers in
-
- Structural Health Monitoring Techniques 4
- Concrete Corrosion and Durability 3
- Vibration Control and Rheological Fluids 3
- Soil and Unsaturated Flow 2
-
- Quantum optics and atomic interactions 5
- Quantum Mechanics and Applications 2
- Co-authors
- Shuang Wang (6 shared papers)Guang‐Can Guo (5 shared papers)Zheng‐Fu Han (5 shared papers)Feng-Yu Lu (4 shared papers)Wei Chen (4 shared papers)Zhen−Qiang Yin (4 shared papers)Dujian Zou (2 shared papers)Tiejun Liu (2 shared papers)
In The Last Decade
Jun Teng
21 papers receiving 318 citations
Peers
Comparison fields: 5 of 47
- Artificial Intelligence 176
- Civil and Structural Engineering 108
- Atomic and Molecular Physics, and Optics 147
- Instrumentation 11
- Mechanics of Materials 66
Countries citing papers authored by Jun Teng
This map shows the geographic impact of Jun Teng'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 Teng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Teng more than expected).
Fields of papers citing papers by Jun Teng
This network shows the impact of papers produced by Jun Teng. 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 Teng. The network helps show where Jun Teng may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Teng, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 105 | |
| 2 | 2013 | 69 | |
| 3 | 2019 | 31 | |
| 4 | 2021 | 30 | |
| 5 | 2015 | 20 | |
| 6 | 2020 | 18 | |
| 7 | 2024 | 14 | |
| 8 | 2018 | 11 | |
| 9 | 2021 | 9 | |
| 10 | 2015 | 6 | |
| 11 | 2022 | 5 | |
| 12 | 2022 | 3 | |
| 13 | 2023 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 2022 | 2 | |
| 16 | 2023 | 1 | |
| 17 | 2018 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2005 | 1 |
About Jun Teng
Jun Teng is a scholar working on Civil and Structural Engineering, Atomic and Molecular Physics, and Optics, Artificial Intelligence, Mechanics of Materials and Pollution, having authored 23 papers that have together received 334 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (7 papers), Quantum optics and atomic interactions (5 papers), Structural Health Monitoring Techniques (4 papers), Quantum Computing Algorithms and Architecture (3 papers), Concrete Corrosion and Durability (3 papers), Vibration Control and Rheological Fluids (3 papers), Quantum Mechanics and Applications (2 papers) and Soil and Unsaturated Flow (2 papers). The work is most often cited by research in Artificial Intelligence (176 citations), Civil and Structural Engineering (108 citations), Atomic and Molecular Physics, and Optics (147 citations), Instrumentation (11 citations) and Mechanics of Materials (66 citations). Jun Teng has collaborated with scholars based in China and Finland. Frequent co-authors include Shuang Wang, Guang‐Can Guo, Zheng‐Fu Han, Feng-Yu Lu, Wei Chen, Zhen−Qiang Yin, Dujian Zou, Tiejun Liu, Bo Li and Yongchao Huang. Their work appears in journals such as Materials, Applied Sciences, Physical review. A, Sensors and Fundamental Research.
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.