What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Ecology
- Statistics
Geospatial analysis, World Wide Web, Web service, Web Coverage Service and Geospatial PDF are his primary areas of study.
The Geospatial analysis study combines topics in areas such as Workflow, Service, Database, Interoperability and Data science.
In the field of Database, his study on Business Process Execution Language and Workflow engine overlaps with subjects such as Sensor web.
He has included themes like Emerging technologies, Spatial information systems and Operations research in his World Wide Web study.
His Web Processing Service study, which is part of a larger body of work in Web service, is frequently linked to Context, bridging the gap between disciplines.
His study in Geospatial PDF is interdisciplinary in nature, drawing from both Geographic information systems in geospatial intelligence and Geospatial metadata.
His most cited work include:
- CropScape: A Web service based application for exploring and disseminating US conterminous geospatial cropland data products for decision support (229 citations)
- Semantics-based automatic composition of geospatial Web service chains (176 citations)
- Modelling relationships between NDVI and precipitation during vegetative growth cycles (173 citations)
What are the main themes of his work throughout his whole career to date?
Liping Di mainly focuses on Geospatial analysis, Web service, World Wide Web, Remote sensing and Web Coverage Service.
His Geospatial analysis study incorporates themes from Workflow, Service, Database, Interoperability and Geographic information system.
In the subject of general Web service, his work in Web Processing Service, Service-oriented architecture and Web modeling is often linked to Sensor web, thereby combining diverse domains of study.
His research investigates the connection between World Wide Web and topics such as Geospatial PDF that intersect with problems in Geographic information systems in geospatial intelligence.
The Remote sensing study combines topics in areas such as Land cover and Vegetation, Normalized Difference Vegetation Index.
His Normalized Difference Vegetation Index research is multidisciplinary, relying on both Hydrology, Statistics and Moderate-resolution imaging spectroradiometer.
He most often published in these fields:
- Geospatial analysis (36.61%)
- Web service (28.26%)
- World Wide Web (26.04%)
What were the highlights of his more recent work (between 2018-2021)?
- Remote sensing (21.13%)
- Cyberinfrastructure (5.41%)
- Workflow (10.81%)
In recent papers he was focusing on the following fields of study:
Liping Di focuses on Remote sensing, Cyberinfrastructure, Workflow, Crop and Artificial intelligence.
His Remote sensing research is multidisciplinary, incorporating elements of Earth, Feature extraction, Flood mapping and Inverse transform sampling.
His Cyberinfrastructure research integrates issues from Web service, Geospatial analysis and Service.
His research investigates the link between Web service and topics such as Big data that cross with problems in Metadata modeling, Web crawler and Metadata.
His study focuses on the intersection of Geospatial analysis and fields such as Database with connections in the field of Systems architecture, Interoperability, Source code, JavaScript and Application programming interface.
As a part of the same scientific study, he usually deals with the Service, concentrating on World Wide Web and frequently concerns with Data integration and Service system.
Between 2018 and 2021, his most popular works were:
- Using long short-term memory recurrent neural network in land cover classification on Landsat and Cropland data layer time series (31 citations)
- County-Level Soybean Yield Prediction Using Deep CNN-LSTM Model (24 citations)
- Rapid Flood Progress Monitoring in Cropland with NASA SMAP (20 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Ecology
- Statistics
The scientist’s investigation covers issues in Workflow, Remote sensing, Artificial intelligence, Cyberinfrastructure and Land cover.
His studies deal with areas such as Java and SOAP, World Wide Web as well as Workflow.
Liping Di integrates several fields in his works, including Remote sensing and Radar.
The study incorporates disciplines such as Open source, Climate model, Geospatial analysis and Climate science in addition to Cyberinfrastructure.
His work carried out in the field of Geospatial analysis brings together such families of science as Python, Application programming interface, Database, JavaScript and Source code.
His Land cover study integrates concerns from other disciplines, such as Urban expansion, Urban planning and Environmental resource management.
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