Eric Zhang
Impact in
- Spectroscopy top 5%
- Spectroscopy and Laser Applications
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- Advanced Fiber Laser Technologies
- Mechanical and Optical Resonators
Papers in ⓘ
- Spectroscopy 22
- Spectroscopy and Laser Applications 22
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- Analytical Chemistry and Sensors 6
- Co-authors
- Jason S. Orcutt (12 shared papers)L. Tombez (4 shared papers)Swetha Kamlapurkar (5 shared papers)Gerard Wysocki (20 shared papers)Joyce K. S. Poon (3 shared papers)Wesley D. Sacher (2 shared papers)Yonghao Ni (4 shared papers)Zhibin He (3 shared papers)
- Journals
- Optics Express (6 papers)Journal of Wood Chemistry and Technology (2 papers)Sensors (2 papers)Appita journal (2 papers)Corpora (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Eric Zhang
57 papers receiving 678 citations
Peers
Comparison fields: 5 of 87
- Spectroscopy 254
- Atomic and Molecular Physics, and Optics 237
- Bioengineering 42
- Electrical and Electronic Engineering 345
- Atmospheric Science 87
Countries citing papers authored by Eric Zhang
This map shows the geographic impact of Eric Zhang'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 Eric Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Zhang more than expected).
Fields of papers citing papers by Eric Zhang
This network shows the impact of papers produced by Eric Zhang. 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 Eric Zhang. The network helps show where Eric Zhang may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Zhang, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 170 | |
| 2 | 2023 | 59 | |
| 3 | 2010 | 51 | |
| 4 | 2022 | 50 | |
| 5 | 2015 | 44 | |
| 6 | 2004 | 26 | |
| 7 | 2014 | 25 | |
| 8 | 2019 | 21 | |
| 9 | 2004 | 20 | |
| 10 | 2016 | 13 | |
| 11 | 2018 | 12 | |
| 12 | 2023 | 11 | |
| 13 | Predicting effects of climate fluctuations for water management by applying neural network | 1996 | 11 |
| 14 | 2019 | 10 | |
| 15 | 2019 | 10 | |
| 16 | 2019 | 9 | |
| 17 | 2017 | 9 | |
| 18 | 2019 | 9 | |
| 19 | 2015 | 9 | |
| 20 | 2016 | 9 |
About Eric Zhang
Eric Zhang is a scholar working on Spectroscopy, Bioengineering, Atmospheric Science, Global and Planetary Change and Electrical and Electronic Engineering, having authored 61 papers that have together received 719 indexed citations. Recurring topics across this work include Spectroscopy and Laser Applications (22 papers), Photonic and Optical Devices (14 papers), Atmospheric Ozone and Climate (10 papers), Atmospheric and Environmental Gas Dynamics (9 papers), Semiconductor Lasers and Optical Devices (6 papers), Analytical Chemistry and Sensors (6 papers), Advanced Fiber Laser Technologies (5 papers) and Lignin and Wood Chemistry (5 papers). The work is most often cited by research in Spectroscopy (254 citations), Atomic and Molecular Physics, and Optics (237 citations), Bioengineering (42 citations), Electrical and Electronic Engineering (345 citations) and Atmospheric Science (87 citations). Eric Zhang has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Jason S. Orcutt, L. Tombez, Swetha Kamlapurkar, Gerard Wysocki, Joyce K. S. Poon, Wesley D. Sacher, Yonghao Ni, Zhibin He, Humphrey Shi and Kai Wang. Their work appears in journals such as Optics Express, Journal of Wood Chemistry and Technology, Sensors, Appita journal and Corpora.
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.