Tianxiao Hao
- Ecological Modeling top 1%
- Ecology top 5%
- Nature and Landscape Conservation top 5%
- Ecology, Evolution, Behavior and Systematics top 5%
- Global and Planetary Change top 10%
- Co-authors
- José J. Lahoz‐MonfortGurutzeta Guillera‐ArroitaJane ElithTom W. MayDarren SouthwellDavid P. WilkinsonBrendan A. WintleRoozbeh Valavi
- Topics
- Species Distribution and Climate Change (5 papers)COVID-19 epidemiological studies (3 papers)Plant Pathogens and Fungal Diseases (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaBiological ConservationVaccine
- Partner nations
- Australia
In The Last Decade
Tianxiao Hao
9 papers receiving 759 citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Ecological Modeling 546
- Ecology 385
- Nature and Landscape Conservation 256
- Ecology, Evolution, Behavior and Systematics 163
- Global and Planetary Change 129
Countries citing papers authored by Tianxiao Hao
This map shows the geographic impact of Tianxiao Hao'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 Tianxiao Hao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tianxiao Hao more than expected).
Fields of papers citing papers by Tianxiao Hao
This network shows the impact of papers produced by Tianxiao Hao. 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 Tianxiao Hao. The network helps show where Tianxiao Hao may publish in the future.
Co-authorship network of co-authors of Tianxiao Hao
This figure shows the co-authorship network connecting the top 25 collaborators of Tianxiao Hao. A scholar is included among the top collaborators of Tianxiao Hao 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 Tianxiao Hao. Tianxiao Hao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | Testing whether ensemble modelling is advantageous for maximising predictive performance of species distribution modelsbreakdown → | 296 |
| 8 | 38 | |
| 9 | A review of evidence about use and performance of species distribution modelling ensembles like BIOMODbreakdown → | 420 |
About Tianxiao Hao
Tianxiao Hao is a scholar working on Ecological Modeling, Modeling and Simulation and Cell Biology, having authored 9 papers that have together received 769 indexed citations. Recurring topics across this work include Species Distribution and Climate Change (5 papers), COVID-19 epidemiological studies (3 papers) and Plant Pathogens and Fungal Diseases (3 papers). The work is most often cited by research in Ecological Modeling (546 citations), Nature and Landscape Conservation (256 citations) and Ecology (385 citations). Tianxiao Hao has collaborated with scholars based in Australia. Frequent co-authors include José J. Lahoz‐Monfort, Gurutzeta Guillera‐Arroita, Jane Elith, Tom W. May, Darren Southwell, David P. Wilkinson, Brendan A. Wintle, Roozbeh Valavi, Adam S. Smart and Deborah Cromer. Their work appears in journals such as SHILAP Revista de lepidopterología, Biological Conservation and Vaccine.
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.