Chein‐Jung Shiu

1.6k citations
32 papers · 1.3k indexed · h-index 17
Topics
Climate variability and models (18 papers)Atmospheric chemistry and aerosols (14 papers)Meteorological Phenomena and Simulations (13 papers)
Partner nations
TaiwanChinaUnited States

In The Last Decade

Chein‐Jung Shiu

31 papers receiving 1.3k citations

Peers

Chein‐Jung Shiu
Comparison fields: 5 of 82
  • Atmospheric Science 958
  • Global and Planetary Change 810
  • Health, Toxicology and Mutagenesis 417
  • Environmental Engineering 237
  • Water Science and Technology 87
Replace Tayfun Kındap with:
Tayfun Kındap Türkiye
Shaw Chen Liu Taiwan
Márcia Akemi Yamasoe Brazil
Dirk Olivié Norway
N. Hatzianastassiou Greece
A. Frank Austria
Pei‐Hua Tan Taiwan
Maeng‐Ki Kim South Korea
Camilla W. Stjern Norway
A. S. Zakey Egypt
Chein‐Jung Shiu relative to Tayfun Kındap Türkiye Tayfun Kındap's profile →
Citations per field
00.5×1.5×2.2×
Tayfun Kındap · 1×
Citations per year

Countries citing papers authored by Chein‐Jung Shiu

Since Specialization
Citations

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

Fields of papers citing papers by Chein‐Jung Shiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chein‐Jung Shiu. 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 Chein‐Jung Shiu. The network helps show where Chein‐Jung Shiu may publish in the future.

Co-authorship network of co-authors of Chein‐Jung Shiu

This figure shows the co-authorship network connecting the top 25 collaborators of Chein‐Jung Shiu. A scholar is included among the top collaborators of Chein‐Jung Shiu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chein‐Jung Shiu. Chein‐Jung Shiu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 2
3 1
4 7
5 60
6 8
7 0
8 1
9 11
10 91
11
Evaluation of Precipitation Variability in CMIP5/CMIP6 Models and TaiESM: Do CMIP6 outperform CMIP5?
1
12 12
13 83
14 87
15 200
16 81
17 50
18 69
19 93
20 36

About Chein‐Jung Shiu

Chein‐Jung Shiu is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include Climate variability and models (18 papers), Atmospheric chemistry and aerosols (14 papers) and Meteorological Phenomena and Simulations (13 papers). The work is most often cited by research in Atmospheric Science (958 citations), Global and Planetary Change (810 citations) and Health, Toxicology and Mutagenesis (417 citations). Chein‐Jung Shiu has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Shaw Chen Liu, Jen‐Ping Chen, Charles C.‐K. Chou, Congbin Fu, Chuan‐Yao Lin, Shaw C. Liu, Ken‐Hui Chang, Chea-Yuan Young, Run Liu and Aiguo Dai. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Scientific Reports and Journal of Climate.

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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