Ya-Fen Wang

802 citations
15 papers · 653 · h-index 10

Impact in

Papers in

Ya-Fen Wang

15 papers receiving 638 citations

Peers

Ya-Fen Wang
Comparison fields: 5 of 65
  • Health, Toxicology and Mutagenesis 351
  • Global and Planetary Change 324
  • Modeling and Simulation 54
  • Environmental Engineering 148
  • Renewable Energy, Sustainability and the Environment 110
Replace Kathleen L. Purvis‐Roberts with:
Kathleen L. Purvis‐Roberts United States
Janaki Gokhale United States
Tze-Ming Chen United States
Jiayun Zhao China
João Vicente de Assunção Brazil
Florentina Villanueva Spain
Nuria Camiña United Kingdom
Naomi J. Farren United Kingdom
Zhenzhen Wang China
Pengxiang Ge China
Ya-Fen Wang relative to Kathleen L. Purvis‐Roberts United States Kathleen L. Purvis‐Roberts's profile →
Citations per field
00.5×4.0×
Kathleen L. Purvis‐Roberts · 1×
Citations per year

Countries citing papers authored by Ya-Fen Wang

Since Specialization
Citations

This map shows the geographic impact of Ya-Fen Wang'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-Fen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya-Fen Wang more than expected).

Fields of papers citing papers by Ya-Fen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ya-Fen Wang. 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-Fen Wang. The network helps show where Ya-Fen Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Ya-Fen Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ya-Fen Wang Line = papers co-authored together Ya-Fen Wang links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2020198
2 2020126
3 2018119
4 200639
5 202034
6 199929
7 199926
8 199825
9 202018
10 199710
11 20129
12 20128
13 20148
14 20202
15 20172

About Ya-Fen Wang

Ya-Fen Wang is a scholar working on Health, Toxicology and Mutagenesis, Electrical and Electronic Engineering, Global and Planetary Change, Materials Chemistry and Radiology, Nuclear Medicine and Imaging, having authored 15 papers that have together received 653 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (7 papers), COVID-19 impact on air quality (4 papers), Air Quality Monitoring and Forecasting (3 papers), Plasma Diagnostics and Applications (3 papers), Catalytic Processes in Materials Science (3 papers), Plasma Applications and Diagnostics (3 papers), Effects and risks of endocrine disrupting chemicals (2 papers) and Indoor Air Quality and Microbial Exposure (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (351 citations), Global and Planetary Change (324 citations), Modeling and Simulation (54 citations), Environmental Engineering (148 citations) and Renewable Energy, Sustainability and the Environment (110 citations). Ya-Fen Wang has collaborated with scholars based in Taiwan, China and South Korea. Frequent co-authors include Kaijie Xu, Kangping Cui, Jiajia Zhang, Li‐Hao Young, Wen-Jhy Lee, Chuh‐Yung Chen, Cao Minh Thi, Viet Van Pham, Dai‐Phat Bui and Shou‐Heng Liu. Their work appears in journals such as Aerosol and Air Quality Research, Chemosphere, Environmental Science & Technology, Scandinavian Journal of Work Environment & Health and Journal of Chemical Technology & Biotechnology.

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.

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