Biing T. Guan
- Nature and Landscape Conservation top 5%
- Global and Planetary Change top 10%
- Atmospheric Science
- Environmental Engineering top 10%
- Ecology
- Co-authors
- George Z. GertnerPablo ParysowH. T. HsuWilliam E. WrightLee‐Ing TsaoS. R. KuoYueh‐Hsin LoJuan A. Blanco
- Topics
- Forest ecology and management (18 papers)Plant Water Relations and Carbon Dynamics (14 papers)Tree-ring climate responses (9 papers)
- Partner nations
- TaiwanUnited StatesSpain
In The Last Decade
Biing T. Guan
33 papers receiving 397 citations
Peers
Comparison fields: 5 of 60
- Nature and Landscape Conservation 236
- Global and Planetary Change 234
- Atmospheric Science 92
- Environmental Engineering 84
- Ecology 69
Countries citing papers authored by Biing T. Guan
This map shows the geographic impact of Biing T. Guan'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 Biing T. Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Biing T. Guan more than expected).
Fields of papers citing papers by Biing T. Guan
This network shows the impact of papers produced by Biing T. Guan. 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 Biing T. Guan. The network helps show where Biing T. Guan may publish in the future.
Co-authorship network of co-authors of Biing T. Guan
This figure shows the co-authorship network connecting the top 25 collaborators of Biing T. Guan. A scholar is included among the top collaborators of Biing T. Guan 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 Biing T. Guan. Biing T. Guan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 7 | |
| 4 | 11 | |
| 5 | 15 | |
| 6 | Micro-topographic differentiation of the tree species composition in a subtropical submontane rainforest in northeastern Taiwan. | 9 |
| 7 | 2 | |
| 8 | 13 | |
| 9 | 40 | |
| 10 | 2 | |
| 11 | Short-distance Dispersal of Intact Taiwan Sassafras Fruits in a Temperate Montane Rain Forest of Northeastern Taiwan | 3 |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 8 | |
| 15 | 18 | |
| 16 | 32 | |
| 17 | 4 | |
| 18 | Modeling individual tree survival probability with a random optimization procedure: an artificial neural network approach | 13 |
| 19 | 57 | |
| 20 | 28 |
About Biing T. Guan
Biing T. Guan is a scholar working on Nature and Landscape Conservation, Global and Planetary Change and Atmospheric Science, having authored 33 papers that have together received 427 indexed citations. Recurring topics across this work include Forest ecology and management (18 papers), Plant Water Relations and Carbon Dynamics (14 papers) and Tree-ring climate responses (9 papers). The work is most often cited by research in Nature and Landscape Conservation (236 citations), Global and Planetary Change (234 citations) and Ecological Modeling (27 citations). Biing T. Guan has collaborated with scholars based in Taiwan, United States and Spain. Frequent co-authors include George Z. Gertner, Pablo Parysow, H. T. Hsu, William E. Wright, Lee‐Ing Tsao, S. R. Kuo, Yueh‐Hsin Lo, Juan A. Blanco, Shang‐Tzen Chang and Edward R. Cook. Their work appears in journals such as Global Change Biology, Forest Ecology and Management and Agricultural and Forest Meteorology.
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.