Ya‐Ting Chan
Impact in
- Pollution top 10%
- Heavy metals in environment
- Geochemistry and Petrology top 10%
- Geochemistry and Elemental Analysis
Papers in
-
- Advanced Memory and Neural Computing 6
- Ferroelectric and Negative Capacitance Devices 3
- Co-authors
- Yu‐Ting Liu (8 shared papers)Yu-Min Tzou (8 shared papers)Heng Yi Teah (5 shared papers)Kai‐Yue Chen (5 shared papers)Tsan‐Yao Chen (3 shared papers)Liang‐Ching Hsu (3 shared papers)Jer‐Chyi Wang (7 shared papers)Ching-Yi Huang (1 shared paper)
- Journals
- Scientific Reports (4 papers)Journal of Hazardous Materials (3 papers)Japanese Journal of Applied Physics (2 papers)Journal of Cellular Biochemistry (1 paper)Zoo Biology (1 paper)
- Partner nations
- TaiwanJapanUnited States
In The Last Decade
Ya‐Ting Chan
20 papers receiving 427 citations
Peers
Comparison fields: 5 of 101
- Pollution 112
- Geochemistry and Petrology 52
- Water Science and Technology 104
- Health, Toxicology and Mutagenesis 79
- Environmental Chemistry 56
Countries citing papers authored by Ya‐Ting Chan
This map shows the geographic impact of Ya‐Ting Chan'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 Ya‐Ting Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya‐Ting Chan more than expected).
Fields of papers citing papers by Ya‐Ting Chan
This network shows the impact of papers produced by Ya‐Ting Chan. 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 Ya‐Ting Chan. The network helps show where Ya‐Ting Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ya‐Ting Chan, 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 | 2016 | 102 | |
| 2 | 2016 | 88 | |
| 3 | 2019 | 44 | |
| 4 | 2011 | 29 | |
| 5 | 2022 | 25 | |
| 6 | 2018 | 23 | |
| 7 | 2016 | 21 | |
| 8 | 2005 | 18 | |
| 9 | 2019 | 17 | |
| 10 | 2016 | 13 | |
| 11 | 2016 | 11 | |
| 12 | 2016 | 10 | |
| 13 | 2020 | 8 | |
| 14 | 2016 | 6 | |
| 15 | 2015 | 5 | |
| 16 | 2017 | 4 | |
| 17 | 2019 | 4 | |
| 18 | 2020 | 3 | |
| 19 | 2014 | 2 | |
| 20 | 2023 | 1 |
About Ya‐Ting Chan
Ya‐Ting Chan is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Cellular and Molecular Neuroscience, Pollution and Health, Toxicology and Mutagenesis, having authored 20 papers that have together received 434 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (6 papers), Ferroelectric and Negative Capacitance Devices (3 papers), Adsorption and biosorption for pollutant removal (3 papers), Neuroscience and Neural Engineering (3 papers), Iron oxide chemistry and applications (3 papers), Arsenic contamination and mitigation (2 papers), Heavy metals in environment (2 papers) and Geochemistry and Elemental Analysis (2 papers). The work is most often cited by research in Pollution (112 citations), Geochemistry and Petrology (52 citations), Water Science and Technology (104 citations), Health, Toxicology and Mutagenesis (79 citations) and Environmental Chemistry (56 citations). Ya‐Ting Chan has collaborated with scholars based in Taiwan, Japan and United States. Frequent co-authors include Yu‐Ting Liu, Yu-Min Tzou, Heng Yi Teah, Kai‐Yue Chen, Tsan‐Yao Chen, Liang‐Ching Hsu, Jer‐Chyi Wang, Ching-Yi Huang, Ho‐Wen Chen and Yen-Hsun Chuang. Their work appears in journals such as Scientific Reports, Journal of Hazardous Materials, Japanese Journal of Applied Physics, Journal of Cellular Biochemistry and Zoo Biology.
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.