Chun Kit Ho

1.0k total citations
8 papers, 688 citations indexed

About

Chun Kit Ho is a scholar working on Global and Planetary Change, Ecology, Evolution, Behavior and Systematics and Atmospheric Science. According to data from OpenAlex, Chun Kit Ho has authored 8 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Global and Planetary Change, 2 papers in Ecology, Evolution, Behavior and Systematics and 2 papers in Atmospheric Science. Recurrent topics in Chun Kit Ho's work include Climate variability and models (3 papers), Climate change impacts on agriculture (2 papers) and Meteorological Phenomena and Simulations (2 papers). Chun Kit Ho is often cited by papers focused on Climate variability and models (3 papers), Climate change impacts on agriculture (2 papers) and Meteorological Phenomena and Simulations (2 papers). Chun Kit Ho collaborates with scholars based in United Kingdom, Hong Kong and Sweden. Chun Kit Ho's co-authors include Ed Hawkins, Andrew J. Challinor, Christopher A. T. Ferro, Thomas M. Osborne, Simon J. Brown, David B. Stephenson, Matthew Collins, Tom Osborne, Thomas E. Fricker and Len Shaffrey and has published in prestigious journals such as Geophysical Research Letters, Global Change Biology and Bulletin of the American Meteorological Society.

In The Last Decade

Chun Kit Ho

7 papers receiving 671 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chun Kit Ho United Kingdom 6 423 242 214 166 103 8 688
Burhan Ahmad Pakistan 13 276 0.7× 196 0.8× 125 0.6× 203 1.2× 132 1.3× 31 588
Pablo Marroquín Morales Mexico 3 417 1.0× 163 0.7× 124 0.6× 163 1.0× 76 0.7× 12 646
Yuji Masutomi Japan 15 272 0.6× 221 0.9× 153 0.7× 283 1.7× 85 0.8× 36 641
Christian Pagé France 16 418 1.0× 115 0.5× 252 1.2× 193 1.2× 132 1.3× 28 767
Andreia Ribeiro Portugal 15 557 1.3× 197 0.8× 185 0.9× 82 0.5× 56 0.5× 25 729
Mengzi Zhou China 13 297 0.7× 95 0.4× 125 0.6× 161 1.0× 61 0.6× 30 473
Aleš Farda Czechia 15 438 1.0× 110 0.5× 231 1.1× 109 0.7× 60 0.6× 32 710
Huiqian Yu China 13 598 1.4× 168 0.7× 167 0.8× 75 0.5× 176 1.7× 16 758
Raymond P. Motha United States 13 252 0.6× 201 0.8× 87 0.4× 128 0.8× 47 0.5× 29 552
Ben Parkes United Kingdom 17 273 0.6× 163 0.7× 113 0.5× 107 0.6× 19 0.2× 31 575

Countries citing papers authored by Chun Kit Ho

Since Specialization
Citations

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

Fields of papers citing papers by Chun Kit Ho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun Kit Ho. 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 Chun Kit Ho. The network helps show where Chun Kit Ho may publish in the future.

Co-authorship network of co-authors of Chun Kit Ho

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

All Works

8 of 8 papers shown
1.
Ho, Janice, Ka Chun Chong, Pak Wai Chan, et al.. (2024). Suitable temperature indicator for adverse health impacts in sub-tropical cities: a case study in Hong Kong from 2010-2019. International Journal of Biometeorology. 69(1). 233–244.
2.
Zeng, Jing, et al.. (2016). Trends in open and distance learning research: 2005 vs 2015. AAOU Journal. 11(2). 216–227. 11 indexed citations
3.
Ho, Chun Kit, Ed Hawkins, Len Shaffrey, et al.. (2013). Examining reliability of seasonal to decadal sea surface temperature forecasts: The role of ensemble dispersion. Geophysical Research Letters. 40(21). 5770–5775. 38 indexed citations
4.
Hawkins, Ed, Thomas E. Fricker, Andrew J. Challinor, et al.. (2012). Increasing influence of heat stress on French maize yields from the 1960s to the 2030s. Global Change Biology. 19(3). 937–947. 184 indexed citations
5.
Ho, Chun Kit, Ed Hawkins, Len Shaffrey, & Fiona M. Underwood. (2012). Statistical decadal predictions for sea surface temperatures: a benchmark for dynamical GCM predictions. Climate Dynamics. 41(3-4). 917–935. 21 indexed citations
6.
Hawkins, Ed, Thomas M. Osborne, Chun Kit Ho, & Andrew J. Challinor. (2012). Calibration and bias correction of climate projections for crop modelling: An idealised case study over Europe. Agricultural and Forest Meteorology. 170. 19–31. 236 indexed citations
7.
Wang, Hao, et al.. (2011). A Study on the Dynamic Mechanical Properties of Silk Fibre Composites. Advanced materials research. 410. 106–109. 4 indexed citations
8.
Ho, Chun Kit, David B. Stephenson, Matthew Collins, Christopher A. T. Ferro, & Simon J. Brown. (2011). Calibration Strategies: A Source of Additional Uncertainty in Climate Change Projections. Bulletin of the American Meteorological Society. 93(1). 21–26. 194 indexed citations

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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