On the public citation graph

Brick Kilns Across India: A Temporal Analysis of Brick Kiln Distribution and Technology Types

0 signed · 13 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.
Claim with ORCID
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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/sd.3272openalex-snapshot
The future of decent work: Forecasting heat stress and the intersection of sustainable development challenges in India's brick kilns
inferredcites →https://doi.org/10.1007/s00521-020-05449-7openalex-snapshot
Convolutional neural networks for global human settlements mapping from Sentinel-2 satellite imagery
inferredcites →https://doi.org/10.1016/j.egyr.2022.11.128openalex-snapshot
Barriers and drivers for adoption of energy efficient and environment friendly brick kiln technologies in Punjab, Pakistan
inferredcites →https://doi.org/10.1016/j.eswa.2021.115530openalex-snapshot
Dilated-ResUnet: A novel deep learning architecture for building extraction from medium resolution multi-spectral satellite imagery
inferredcites →https://doi.org/10.1016/j.isprsjprs.2018.02.012openalex-snapshot
Slavery from Space: Demonstrating the role for satellite remote sensing to inform evidence-based action related to UN SDG number 8
inferredcites →https://doi.org/10.1016/j.jclepro.2016.06.152openalex-snapshot
Carbon footprint of solid clay bricks fired in clamps of India
inferredcites →https://doi.org/10.1016/j.rse.2021.112750openalex-snapshot
A review of machine learning in processing remote sensing data for mineral exploration
inferredcites →https://doi.org/10.1021/es500186gopenalex-snapshot
Emissions from South Asian Brick Production
inferredcites →https://doi.org/10.1038/s41559-023-02206-6openalex-snapshot
A high-resolution canopy height model of the Earth
inferredcites →https://doi.org/10.1038/s41597-025-05148-9openalex-snapshot
Brick Kiln Dataset for Pakistan’s IGP Region Using AI
inferredcites →https://doi.org/10.1038/s41893-023-01165-xopenalex-snapshot
Reconciliation of energy use disparities in brick production in India
inferredcites →https://doi.org/10.1596/33727openalex-snapshot
Dirty Stacks, High Stakes
inferredcites →https://doi.org/10.21105/joss.04101openalex-snapshot
TorchMetrics - Measuring Reproducibility in PyTorch
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.