Ching‐Feng Shih

449 citations
13 papers · 369 indexed · h-index 9
Topics
Climate variability and models (12 papers)Tropical and Extratropical Cyclones Research (11 papers)Meteorological Phenomena and Simulations (7 papers)
Partner nations
TaiwanUnited StatesChina

In The Last Decade

Ching‐Feng Shih

12 papers receiving 364 citations

Peers

Ching‐Feng Shih
Comparison fields: 5 of 28
  • Atmospheric Science 325
  • Global and Planetary Change 307
  • Oceanography 160
  • Earth-Surface Processes 12
  • Ecology 10
Replace Joakim Kjellsson with:
Joakim Kjellsson United Kingdom
Yechul Shin South Korea
Joshua Studholme United States
Daria Gushchina Russia
Shunya Koseki Norway
Libin Ma China
Jianqiu Zheng China
Luís Bejarano United States
Ayan H. Chaudhuri United States
Xiao‐Yi Yang China
Ching‐Feng Shih relative to Joakim Kjellsson United Kingdom Joakim Kjellsson's profile →
Citations per field
00.5×1.7×
Joakim Kjellsson · 1×
Citations per year

Countries citing papers authored by Ching‐Feng Shih

Since Specialization
Citations

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

Fields of papers citing papers by Ching‐Feng Shih

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching‐Feng Shih. 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 Ching‐Feng Shih. The network helps show where Ching‐Feng Shih may publish in the future.

Co-authorship network of co-authors of Ching‐Feng Shih

This figure shows the co-authorship network connecting the top 25 collaborators of Ching‐Feng Shih. A scholar is included among the top collaborators of Ching‐Feng Shih 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 Ching‐Feng Shih. Ching‐Feng Shih is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 3
2 98
3 18
4 0
5 18
6 14
7 105
8 1
9 12
10 29
11 3
12 43
13 25

About Ching‐Feng Shih

Ching‐Feng Shih is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography, having authored 13 papers that have together received 369 indexed citations. Recurring topics across this work include Climate variability and models (12 papers), Tropical and Extratropical Cyclones Research (11 papers) and Meteorological Phenomena and Simulations (7 papers). The work is most often cited by research in Atmospheric Science (325 citations), Global and Planetary Change (307 citations) and Oceanography (160 citations). Ching‐Feng Shih has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Jau‐Ming Chen, Tim Li, Pei‐Hua Tan, Aaron B. Wilson, John S. Woollen, Tae‐Kwon Wee, David H. Bromwich, H. Lin, John E. Walsh and Keith M. Hines. Their work appears in journals such as Journal of Climate, Bulletin of the American Meteorological Society and International Journal of Climatology.

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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