Junchen Wan
Impact in
- Instrumentation top 5%
- Astronomy and Astrophysical Research
- Astronomy and Astrophysics top 10%
- Stellar, planetary, and galactic studies
- Astrophysics and Star Formation Studies
- Gamma-ray bursts and supernovae
Papers in
-
- Stellar, planetary, and galactic studies 7
- Astrophysics and Star Formation Studies 4
-
- Astronomy and Astrophysical Research 7
- Co-authors
- Chao Liu (7 shared papers)Licai Deng (6 shared papers)Fuzheng Zhang (2 shared papers)Kun Zhou (1 shared paper)Kai Zheng (1 shared paper)Zhongyuan Wang (1 shared paper)Xuezhi Cao (1 shared paper)Rui Sun (1 shared paper)
In The Last Decade
Junchen Wan
13 papers receiving 386 citations
Peers
Comparison fields: 5 of 52
- Instrumentation 107
- Astronomy and Astrophysics 174
- Artificial Intelligence 143
- Information Systems 88
- Computer Vision and Pattern Recognition 60
Countries citing papers authored by Junchen Wan
This map shows the geographic impact of Junchen Wan'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 Junchen Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junchen Wan more than expected).
Fields of papers citing papers by Junchen Wan
This network shows the impact of papers produced by Junchen Wan. 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 Junchen Wan. The network helps show where Junchen Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Junchen Wan, 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 | 2020 | 162 | |
| 2 | 2018 | 56 | |
| 3 | 2017 | 36 | |
| 4 | 2015 | 34 | |
| 5 | 2023 | 29 | |
| 6 | 2022 | 27 | |
| 7 | 2017 | 15 | |
| 8 | 2015 | 14 | |
| 9 | 2017 | 12 | |
| 10 | 2023 | 9 | |
| 11 | 2024 | 7 | |
| 12 | 2024 | 6 | |
| 13 | 2024 | 2 | |
| 14 | 2025 | 0 | |
| 15 | 2025 | 0 |
About Junchen Wan
Junchen Wan is a scholar working on Astronomy and Astrophysics, Instrumentation, Electrical and Electronic Engineering, Computational Mechanics and Artificial Intelligence, having authored 15 papers that have together received 409 indexed citations. Recurring topics across this work include Stellar, planetary, and galactic studies (7 papers), Astronomy and Astrophysical Research (7 papers), Astrophysics and Star Formation Studies (4 papers), Gas Sensing Nanomaterials and Sensors (3 papers), Perovskite Materials and Applications (3 papers), Astronomical Observations and Instrumentation (2 papers), Advanced Semiconductor Detectors and Materials (2 papers) and Semiconductor Quantum Structures and Devices (1 paper). The work is most often cited by research in Instrumentation (107 citations), Astronomy and Astrophysics (174 citations), Artificial Intelligence (143 citations), Information Systems (88 citations) and Computer Vision and Pattern Recognition (60 citations). Junchen Wan has collaborated with scholars based in China, Japan and Denmark. Frequent co-authors include Chao Liu, Licai Deng, Fuzheng Zhang, Kun Zhou, Kai Zheng, Zhongyuan Wang, Xuezhi Cao, Rui Sun, Yan Zhao and Haifeng Wang. Their work appears in journals such as Materials Horizons, The Astrophysical Journal Supplement Series, The Journal of Physical Chemistry Letters, Small and Nanoscale.
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.