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Liping Di

Researcher / author (OpenAlex)
Person academia

Facts

2 properties
Instance of
human[2]
Affiliation
George Mason University, American Society for Photogrammetry and Remote Sensing, Nanjing Medical Universityas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
ORCID iD
0000-0002-3953-9965
OpenAlex ID
A5012116347, A5123786288, A5124303774as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
📚 Sources · 1

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📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 33
An Enhanced Deep Convolutional Model for Spatiotemporal Image Fusion, A New Spatial Attraction Model for Improving Subpixel Land Cover Classification, Automated In-Season Crop-Type Data Layer Mapping Without Ground Truth for the Conterminous United States Based on Multisource Satellite Imagery, Automatic Identification of Center Pivot Irrigation Systems from Landsat Images Using Convolutional Neural Networks, Comparison of selected noise reduction techniques for MODIS daily NDVI: An empirical analysis on corn and soybean, County-Level Soybean Yield Prediction Using Deep CNN-LSTM Model, Crop Field Boundary Delineation using Historical Crop Rotation Pattern, Deep Learning Classification for Crop Types in North Dakota +25 more
← Authored by 33
An Enhanced Deep Convolutional Model for Spatiotemporal Image Fusion, A New Spatial Attraction Model for Improving Subpixel Land Cover Classification, Automated In-Season Crop-Type Data Layer Mapping Without Ground Truth for the Conterminous United States Based on Multisource Satellite Imagery, Automatic Identification of Center Pivot Irrigation Systems from Landsat Images Using Convolutional Neural Networks, Comparison of selected noise reduction techniques for MODIS daily NDVI: An empirical analysis on corn and soybean, County-Level Soybean Yield Prediction Using Deep CNN-LSTM Model, Crop Field Boundary Delineation using Historical Crop Rotation Pattern, Deep Learning Classification for Crop Types in North Dakota +25 more
Affiliated with 3
George Mason University, National Agricultural Statistics Service, GeoInformation (United Kingdom)
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Summary

Liping Di is a human[1].

Related Entities

George Mason University

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Liping Di. Retrieved October 24, 2026, from https://4ort.xyz/entity/liping-di
MLA “Liping Di.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 Oct. 2026, https://4ort.xyz/entity/liping-di.
BibTeX @misc{4ortxyz_liping-di_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Liping Di}}, year = {2026}, url = {https://4ort.xyz/entity/liping-di}, note = {Accessed: 2026-10-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Liping Di — https://4ort.xyz/entity/liping-di (retrieved 2026-10-24)

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