On the public citation graph
An integrated indicator framework coupling forest seasonal phenology and vertical structural features for understory bamboo mapping and giant panda habitat pattern assessment
0 signed · 28 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/eap.2608openalex-snapshot
Extinction of biotic interactions due to habitat loss could accelerate the current biodiversity crisis
inferredcites →https://doi.org/10.1016/j.biocon.2016.10.028openalex-snapshot
The effectiveness of the zoning of China's protected areas
inferredcites →https://doi.org/10.1016/j.biocon.2018.12.031openalex-snapshot
The role of den quality in giant panda conservation
inferredcites →https://doi.org/10.1016/j.biocon.2024.110635openalex-snapshot
Field experiment reveals complex warming impacts on giant pandas' bamboo diet
inferredcites →https://doi.org/10.1016/j.ecolind.2018.12.006openalex-snapshot
Relationship between bamboo growth status and woody plants in a giant panda habitat
inferredcites →https://doi.org/10.1016/j.ecolind.2019.105891openalex-snapshot
Expanding ensembles of species present-day and future climatic suitability to consider the limitations of species occurrence data
inferredcites →https://doi.org/10.1016/j.ecolind.2022.109699openalex-snapshot
Assessing the performance of the pilot national parks in China
inferredcites →https://doi.org/10.1016/j.ijforecast.2021.03.012openalex-snapshot
Temporal Fusion Transformers for interpretable multi-horizon time series forecasting
inferredcites →https://doi.org/10.1016/j.isprsjprs.2024.02.002openalex-snapshot
Bamboo classification based on GEDI, time-series Sentinel-2 images and whale-optimized, dual-channel DenseNet: A case study in Zhejiang province, China
inferredcites →https://doi.org/10.1016/j.jenvman.2024.122052openalex-snapshot
Integrated framework for dynamic conservation of bamboo forest in giant panda habitat under climate change
inferredcites →https://doi.org/10.1016/j.jhydrol.2012.12.041openalex-snapshot
Applicability of Monte Carlo cross validation technique for model development and validation using generalised least squares regression
inferredcites →https://doi.org/10.1016/j.rse.2018.11.032openalex-snapshot
Deep learning based multi-temporal crop classification
inferredcites →https://doi.org/10.1016/j.tree.2013.04.003openalex-snapshot
Will plant movements keep up with climate change?
inferredcites →https://doi.org/10.1038/nature13947openalex-snapshot
The performance and potential of protected areas
inferredcites →https://doi.org/10.1038/s41559-017-0317-1openalex-snapshot
Reassessing the conservation status of the giant panda using remote sensing
inferredcites →https://doi.org/10.1038/s41598-017-09084-6openalex-snapshot
Taxonomic bias in biodiversity data and societal preferences
inferredcites →https://doi.org/10.1038/s42003-024-06076-xopenalex-snapshot
Vertical structural complexity of plant communities represents the combined effects of resource acquisition and environmental stress on the Tibetan Plateau
inferredcites →https://doi.org/10.1098/rspa.2017.0844openalex-snapshot
Data-driven forecasting of high-dimensional chaotic systems with long short-term memory networks
inferredcites →https://doi.org/10.1111/1440-1703.12447openalex-snapshot
Linking small mammal capture probability with understory structural complexity using a mobile laser scanning‐derived metric: A case study
inferredcites →https://doi.org/10.1111/conl.12592openalex-snapshot
Incorporating biotic interactions reveals potential climate tolerance of giant pandas
inferredcites →https://doi.org/10.1111/ele.12638openalex-snapshot
Weighting and indirect effects identify keystone species in food webs
inferredcites →https://doi.org/10.1111/ele.70177openalex-snapshot
From Presence‐Only to Abundance Species Distribution Models Using Transfer Learning
inferredcites →https://doi.org/10.1126/science.1058104openalex-snapshot
Ecological Degradation in Protected Areas: The Case of Wolong Nature Reserve for Giant Pandas
inferredcites →https://doi.org/10.1126/science.aab2413openalex-snapshot
Exceptionally low daily energy expenditure in the bamboo-eating giant panda
inferredcites →https://doi.org/10.1890/04-0785openalex-snapshot
QUANTILE REGRESSION REVEALS HIDDEN BIAS AND UNCERTAINTY IN HABITAT MODELS
inferredcites →https://doi.org/10.2307/3802951openalex-snapshot
Giant Panda Movements in Foping Nature Reserve, China
inferredcites →https://doi.org/10.34133/remotesensing.0146openalex-snapshot
Performance of XGBoost Ensemble Learning Algorithm for Mangrove Species Classification with Multisource Spaceborne Remote Sensing Data
inferredcites →https://doi.org/10.34133/remotesensing.0379openalex-snapshot
Seasonal Tree Height Dynamic Estimation Using Multi-source Remotely Sensed Data in Shenzhen
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.