Yuan‐Chien Lin

1.0k citations
46 papers · 659 · h-index 14

Impact in

Papers in

Yuan‐Chien Lin

43 papers receiving 651 citations

Peers

Yuan‐Chien Lin
Comparison fields: 5 of 111
  • Health, Toxicology and Mutagenesis 268
  • Environmental Engineering 206
  • Speech and Hearing 42
  • Global and Planetary Change 139
  • Water Science and Technology 72
Replace Erika Brattich with:
Erika Brattich Italy
Pauline Méjean France
Jinghui Ma China
Wan-Li Cheng Taiwan
Jun Qian China
Sergio Teggi Italy
Xinchun Liu China
Robert Schoetter France
Yuan‐Chien Lin relative to Erika Brattich Italy Erika Brattich's profile →
Citations per field
00.5×5.1×
Erika Brattich · 1×
Citations per year

Countries citing papers authored by Yuan‐Chien Lin

Since Specialization
Citations

This map shows the geographic impact of Yuan‐Chien Lin'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 Yuan‐Chien Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuan‐Chien Lin more than expected).

Fields of papers citing papers by Yuan‐Chien Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuan‐Chien Lin. 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 Yuan‐Chien Lin. The network helps show where Yuan‐Chien Lin may publish in the future.

Co-authors

The 25 scholars most cited alongside Yuan‐Chien Lin, 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 Yuan‐Chien Lin Line = papers co-authored together Yuan‐Chien Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015151
2 2015104
3 201957
4 202034
5
High expression of phospho-H2AX predicts a poor prognosis in colorectal cancer.
201532
6 202022
7 201522
8 202217
9 202417
10 202316
11 201815
12 202114
13 202213
14 199913
15 201212
16 201712
17 202110
18 201410
19 202510
20 20208

About Yuan‐Chien Lin

Yuan‐Chien Lin is a scholar working on Health, Toxicology and Mutagenesis, Environmental Engineering, Atmospheric Science, Global and Planetary Change and Condensed Matter Physics, having authored 46 papers that have together received 659 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (18 papers), Air Quality Monitoring and Forecasting (11 papers), Atmospheric chemistry and aerosols (9 papers), Flood Risk Assessment and Management (3 papers), Groundwater and Watershed Analysis (3 papers), Hydrological Forecasting Using AI (3 papers), Climate Change and Health Impacts (3 papers) and Climate variability and models (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (268 citations), Environmental Engineering (206 citations), Speech and Hearing (42 citations), Global and Planetary Change (139 citations) and Water Science and Technology (72 citations). Yuan‐Chien Lin has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Hwa‐Lung Yu, Yu Sun, Li‐Li Wen, Yun‐Chun Wu, Ta‐Fu Chen, Yen‐Ching Chen, Ping‐Keung Yip, Yimin Chu, Jen‐Hau Chen and Chee‐Yin Chai. Their work appears in journals such as The Science of The Total Environment, Journal of Hydrology, Environmental Research, Atmospheric Pollution Research and Stochastic Environmental Research and Risk Assessment.

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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