Biing T. Guan

539 total citations
33 papers, 427 citations indexed

About

Biing T. Guan is a scholar working on Nature and Landscape Conservation, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Biing T. Guan has authored 33 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Nature and Landscape Conservation, 18 papers in Global and Planetary Change and 10 papers in Atmospheric Science. Recurrent topics in Biing T. Guan's work include Forest ecology and management (18 papers), Plant Water Relations and Carbon Dynamics (14 papers) and Tree-ring climate responses (9 papers). Biing T. Guan is often cited by papers focused on Forest ecology and management (18 papers), Plant Water Relations and Carbon Dynamics (14 papers) and Tree-ring climate responses (9 papers). Biing T. Guan collaborates with scholars based in Taiwan, United States and Spain. Biing T. Guan's co-authors include George Z. Gertner, Pablo Parysow, H. T. Hsu, William E. Wright, Lee‐Ing Tsao, Juan A. Blanco, S. R. Kuo, Yueh‐Hsin Lo, Shang‐Tzen Chang and Wan‐Ru Huang and has published in prestigious journals such as Global Change Biology, Forest Ecology and Management and Agricultural and Forest Meteorology.

In The Last Decade

Biing T. Guan

33 papers receiving 397 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Biing T. Guan Taiwan 13 236 234 92 84 69 33 427
Matthias Albert Germany 11 260 1.1× 257 1.1× 72 0.8× 65 0.8× 59 0.9× 20 413
Alejandro Velázquez‐Martínez Mexico 12 365 1.5× 312 1.3× 173 1.9× 49 0.6× 48 0.7× 74 542
Rubén Manso United Kingdom 14 370 1.6× 281 1.2× 77 0.8× 71 0.8× 70 1.0× 36 459
Michael Heym Germany 14 292 1.2× 272 1.2× 121 1.3× 146 1.7× 123 1.8× 24 498
Daniel Moreno‐Fernández Spain 14 265 1.1× 222 0.9× 100 1.1× 85 1.0× 98 1.4× 37 422
Colin Edwards United Kingdom 12 263 1.1× 212 0.9× 65 0.7× 71 0.8× 146 2.1× 19 444
Erika Gonzalez‐Akre United States 11 247 1.0× 272 1.2× 141 1.5× 31 0.4× 74 1.1× 15 403
E. Feldmeyer-Christe Switzerland 6 284 1.2× 295 1.3× 203 2.2× 77 0.9× 160 2.3× 11 483
A. Arpaci Austria 6 214 0.9× 541 2.3× 73 0.8× 45 0.5× 178 2.6× 6 631
Volker Mues Germany 11 344 1.5× 391 1.7× 137 1.5× 148 1.8× 136 2.0× 18 636

Countries citing papers authored by Biing T. Guan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Owari, Toshiaki, Sangjun Im, & Biing T. Guan. (2020). Special feature Long-term monitoring and research in Asian university forests: towards further understanding of environmental changes and ecosystem responses. Journal of Forest Research. 25(3). 134–135. 2 indexed citations
2.
3.
Lo, Yueh‐Hsin, Juan A. Blanco, & Biing T. Guan. (2016). Douglas-fir radial growth in interior British Columbia can be linked to long-term oscillations in Pacific and Atlantic sea surface temperatures. Canadian Journal of Forest Research. 47(3). 371–381. 7 indexed citations
4.
Wright, William E., Biing T. Guan, Yu‐Heng Tseng, et al.. (2014). Reconstruction of the springtime East Asian Subtropical Jet and Western Pacific pattern from a millennial-length Taiwanese tree-ring chronology. Climate Dynamics. 44(5-6). 1645–1659. 11 indexed citations
5.
Guan, Biing T., et al.. (2011). ENSO and PDO strongly influence Taiwan spruce height growth. Forest Ecology and Management. 267. 50–57. 15 indexed citations
6.
Su, Sheng‐Hsin, et al.. (2010). Micro-topographic differentiation of the tree species composition in a subtropical submontane rainforest in northeastern Taiwan.. Táiwān línyè kēxué. 25(1). 63–80. 9 indexed citations
7.
Guan, Biing T., et al.. (2008). Fitting Photosynthesis Irradiance Response Curves with Nonlinear Mixed-effects Models. 23(1). 55–69. 2 indexed citations
8.
Guan, Biing T., et al.. (2008). Aquatic birnavirus infection activates the transcription factor NF‐κB via tyrosine kinase signalling leading to cell death. Journal of Fish Diseases. 31(6). 451–460. 13 indexed citations
9.
Guan, Biing T., et al.. (2007). No initial size advantage for Japanese cedars in crowded stands. Forest Ecology and Management. 255(3-4). 1078–1084. 2 indexed citations
10.
Kuo, S. R., et al.. (2007). Microclimatic responses to different thinning intensities in a Japanese cedar plantation of northern Taiwan. Forest Ecology and Management. 241(1-3). 91–100. 40 indexed citations
11.
Guan, Biing T., et al.. (2006). Short-distance Dispersal of Intact Taiwan Sassafras Fruits in a Temperate Montane Rain Forest of Northeastern Taiwan. Botanical studies. 47(4). 427–434. 3 indexed citations
12.
13.
Guan, Biing T., et al.. (2006). Analyzing the effects of stand thinning on microclimates with semiparametric smoothing splines. Canadian Journal of Forest Research. 36(7). 1641–1648. 3 indexed citations
14.
Guan, Biing T.. (2000). Effects of Correlation among Parameters on Prediction Quality of a Process-Based Forest Growth Model. Forest Science. 46(2). 269–276. 8 indexed citations
15.
Guan, Biing T., George Z. Gertner, & Pablo Parysow. (1997). A framework for uncertainty assessment of mechanistic forest growth models: a neural network example. Ecological Modelling. 98(1). 47–58. 18 indexed citations
16.
Gertner, George Z., Pablo Parysow, & Biing T. Guan. (1996). Projection Variance Partitioning of a Conceptual Forest Growth Model with Orthogonal Polynomials. Forest Science. 42(4). 474–486. 32 indexed citations
17.
Guan, Biing T. & George Z. Gertner. (1996). An artificial neural network with partitionable outputs. Computers and Electronics in Agriculture. 16(1). 39–46. 4 indexed citations
18.
Guan, Biing T. & George Z. Gertner. (1995). Modeling individual tree survival probability with a random optimization procedure: an artificial neural network approach. 9(2). 39–52. 13 indexed citations
19.
Guan, Biing T. & George Z. Gertner. (1991). Using a Parallel Distributed Processing System to Model Individual Tree Mortality. Forest Science. 37(3). 871–885. 28 indexed citations
20.
Guan, Biing T. & George Z. Gertner. (1991). Modeling Red Pine Tree Survival with an Artificial Neural Network. Forest Science. 37(5). 1429–1440. 57 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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