Junyu Wei
Impact in
-
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Aerospace Engineering top 5%
- Infrared Target Detection Methodologies
Papers in
- Co-authors
- Shaojing SuXiaozhong TongZhen ZuoBei SunPeng WuChao ZhouChanggang SunChundi Gao
- Journals
- Photonics (3 papers)Optics Communications (3 papers)IEEE Transactions on Geoscience and Remote Sensing (3 papers)Journal of Crystal Growth (3 papers)Sensors (3 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Junyu Wei
90 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 131
- Cancer Research 145
- Aerospace Engineering 233
- Electrical and Electronic Engineering 385
- Computer Vision and Pattern Recognition 126
- Artificial Intelligence 176
Countries citing papers authored by Junyu Wei
This map shows the geographic impact of Junyu 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 Junyu Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junyu Wei more than expected).
Fields of papers citing papers by Junyu Wei
This network shows the impact of papers produced by Junyu 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 Junyu Wei. The network helps show where Junyu Wei may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Junyu 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 29 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 8 | |
| 11 | 2024 | 0 | |
| 12 | 2023 | 70 | |
| 13 | 2023 | 8 | |
| 14 | 2023 | 8 | |
| 15 | 2023 | 2 | |
| 16 | 2023 | 16 | |
| 17 | 2023 | 5 | |
| 18 | 2023 | 4 | |
| 19 | On the Feasibility of Parser-based Log Compression in Large-Scale Cloud Systems. | 2021 | 7 |
| 20 | 2018 | 1 |
About Junyu Wei
Junyu Wei is a scholar working on General Engineering, Ceramics and Composites, Electrical and Electronic Engineering, Computer Networks and Communications and Cancer Research, having authored 96 papers that have together received 1.3k indexed citations. Recurring topics across this work include Photorefractive and Nonlinear Optics (9 papers), Ferroelectric and Piezoelectric Materials (8 papers), Advanced Photonic Communication Systems (7 papers), Acoustic Wave Resonator Technologies (7 papers), Optical Network Technologies (7 papers), Infrared Target Detection Methodologies (7 papers), Advanced Measurement and Detection Methods (5 papers) and Luminescence Properties of Advanced Materials (5 papers). The work is most often cited by research in Cancer Research (145 citations), Aerospace Engineering (233 citations), Electrical and Electronic Engineering (385 citations), Computer Vision and Pattern Recognition (126 citations) and Artificial Intelligence (176 citations). Junyu Wei has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Shaojing Su, Xiaozhong Tong, Zhen Zuo, Bei Sun, Peng Wu, Peng Wu, Chao Zhou, Changgang Sun, Zhen Zuo and Chundi Gao. Their work appears in journals such as Photonics, Optics Communications, IEEE Transactions on Geoscience and Remote Sensing, Journal of Crystal Growth 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.