Jingmin Dai
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- Chaos-based Image/Signal Encryption 8
- Aerospace Engineering top 5%
- Calibration and Measurement Techniques 32
- Infrared Target Detection Methodologies 18
- Mechanics of Materials top 5%
- Thermography and Photoacoustic Techniques 19
- Mathematical Physics top 10%
- Mechanical Engineering top 10%
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- Advanced Measurement and Detection Methods 11
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- Radiative Heat Transfer Studies 8
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- Advanced Sensor Technologies Research 8
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- Spectroscopy and Laser Applications 7
- Co-authors
- Zhengjun LiuShutian LiuXiaogang SunJunyan LiuYang WangLie XuQingju TangShuhai Chen
In The Last Decade
Jingmin Dai
91 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 81
- Computer Vision and Pattern Recognition 541
- Aerospace Engineering 419
- Mechanics of Materials 384
- Mathematical Physics 73
- Mechanical Engineering 275
Countries citing papers authored by Jingmin Dai
This map shows the geographic impact of Jingmin Dai'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 Jingmin Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingmin Dai more than expected).
Fields of papers citing papers by Jingmin Dai
This network shows the impact of papers produced by Jingmin Dai. 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 Jingmin Dai. The network helps show where Jingmin Dai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jingmin Dai, 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 | 2024 | 5 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 22 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 0 | |
| 9 | 2022 | 5 | |
| 10 | 2022 | 5 | |
| 11 | 2018 | 9 | |
| 12 | 2013 | 5 | |
| 13 | 2011 | 3 | |
| 14 | 2008 | 47 | |
| 15 | Design of multi-spectrum BRDF measurement system | 2007 | 7 |
| 16 | Measuring normal spectral emissivities of niobium by a pulse-heating technique: 1000 K to the melting point | 2006 | 2 |
| 17 | 2006 | 4 | |
| 18 | Development of infrared spectral radiation measurement system of a non-luminous flame | 2005 | 1 |
| 19 | Realizing variable contrast technique in MRC measuring target using integrating sphere | 2004 | 4 |
| 20 | Stray light suppression in BRDF measurement infrared optical system | 2003 | 6 |
About Jingmin Dai
Jingmin Dai is a scholar working on Aerospace Engineering, Mechanics of Materials and Computational Mechanics, having authored 98 papers that have together received 1.5k indexed citations. Recurring topics across this work include Calibration and Measurement Techniques (32 papers), Thermography and Photoacoustic Techniques (19 papers), Infrared Target Detection Methodologies (18 papers), Advanced Measurement and Detection Methods (11 papers), Chaos-based Image/Signal Encryption (8 papers), Radiative Heat Transfer Studies (8 papers), Advanced Sensor Technologies Research (8 papers) and Spectroscopy and Laser Applications (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (541 citations), Aerospace Engineering (419 citations) and Mechanics of Materials (384 citations). Jingmin Dai has collaborated with scholars based in China, Pakistan and Australia. Frequent co-authors include Zhengjun Liu, Shutian Liu, Xiaogang Sun, Junyan Liu, Xiaogang Sun, Yang Wang, Lie Xu, Qingju Tang, Shuhai Chen and Jihua Huang. Their work appears in journals such as International Journal of Heat and Mass Transfer, Optics Express and Sensors.
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.