Daohua Bi

4.0k citations
35 papers · 1.6k indexed · 1 hit paper · h-index 19
Topics
Climate variability and models (24 papers)Oceanographic and Atmospheric Processes (20 papers)Marine and coastal ecosystems (10 papers)

In The Last Decade

Daohua Bi

34 papers receiving 1.6k citations

Hit Papers

Configuration and spin-up of ACCESS-CM2, the new generati...2020202620222024202050100150200

Peers

Daohua Bi
Comparison fields: 5 of 63
  • Global and Planetary Change 1.3k
  • Atmospheric Science 1.1k
  • Oceanography 656
  • Ecology 148
  • Water Science and Technology 75
Replace Siobhan O’Farrell with:
Siobhan O’Farrell Australia
Katerina Goubanova France
Jeremy P. Grist United Kingdom
Sun‐Seon Lee South Korea
Doroteaciro Iovino Italy
M. Botzet Germany
Luciano Ponzi Pezzi Brazil
Guillaume Gastineau France
T. J. Ansell United Kingdom
L. Shogo Urakawa Japan
Daohua Bi relative to Siobhan O’Farrell Australia Siobhan O’Farrell's profile →
Citations per field
00.5×1.5×2.2×
Siobhan O’Farrell · 1×
Citations per year

Countries citing papers authored by Daohua Bi

Since Specialization
Citations

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

Fields of papers citing papers by Daohua Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daohua Bi. 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 Daohua Bi. The network helps show where Daohua Bi may publish in the future.

Co-authorship network of co-authors of Daohua Bi

This figure shows the co-authorship network connecting the top 25 collaborators of Daohua Bi. A scholar is included among the top collaborators of Daohua Bi 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 Daohua Bi. Daohua Bi 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 1
3 1
4 0
5 18
6 11
7 5
8 13
9 12
10 14
11 113
12 144
13 70
14
AMOCMIP: Probabilistic projections of future AMOC evolution driven by global warming and Greenland Ice Sheet melt.
1
15 6
16 6
17 40
18 23
19 274
20 18

About Daohua Bi

Daohua Bi is a scholar working on Oceanography, Atmospheric Science and Global and Planetary Change, having authored 35 papers that have together received 1.6k indexed citations. Recurring topics across this work include Climate variability and models (24 papers), Oceanographic and Atmospheric Processes (20 papers) and Marine and coastal ecosystems (10 papers). The work is most often cited by research in Global and Planetary Change (1.3k citations), Atmospheric Science (1.1k citations) and Oceanography (656 citations). Daohua Bi has collaborated with scholars based in Australia, United Kingdom and China. Frequent co-authors include Ian Simmonds, Pandora Hope, Wenju Cai, Tim Cowan, Simon Marsland, Gongle Shi, Joachim Ribbe, Arnold Sullivan, Anthony C. Hirst and Martin Dix. Their work appears in journals such as Scientific Reports, Journal of Climate and Geophysical Research Letters.

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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