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Formerly Arkansas
Last published
2026
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OpenAlex · ORCID
Refreshed
2026-10-05
X
Xiao Huang
Federal Grant PI
Assistant Professor, Emory University
Formerly Arkansas Assistant Professor, University of Arkansas through 2023; now Assistant Professor, Emory University.
46 h-index
428 pubs
7,784 cited
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Xiao Huang's research investigates the intersection of public health, social dynamics, and technological data analysis. A significant portion of their work focuses on understanding population behavior and health outcomes during the COVID-19 pandemic, utilizing large-scale datasets from social media platforms and mobile phone location data. Publications include studies on how Twitter data can reveal public opinion on COVID-19 vaccines in the United States, and how human mobility patterns shifted during the pandemic, noting that the ability to stay home was often dependent on socioeconomic privilege.
Further research extends to environmental applications, including the estimation of soil moisture content using Unmanned Aerial Vehicle (UAV) data and machine learning algorithms. Huang has also explored advanced computational techniques for medical applications, such as developing an optimal channel selection method for EEG-based depression detection using kernel-target alignment. Their work in remote sensing includes developing deep learning models, like AERNet, for building change detection in satellite imagery.
With a substantial scholarly record, including 428 publications and over 7,700 citations, Huang has also secured federal funding. Notably, they served as PI on an NSF I-Corps grant totaling $50,000 for research on scalable artificial intelligence-supported flood resilience assessment. Their active research status and broad publication record indicate ongoing contributions across multiple scientific domains.
Metrics
- h-index: 46
- Publications: 428
- Citations: 7,784
Positions
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Assistant Professor 2023–presentEmory University Environmental Sciences ORCID
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Assistant Professor 2020–2023University of Arkansas Geosciences ORCID
Selected Publications
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Geospatial Agentic Services: A Framework for Interoperable Geospatial Intelligence in the Era of Autonomous GIS (2026)
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A Model Integrating Nonlinear Effects and Spatial Heterogeneity for Reduced-Fare Program Usage (2026)
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MC-Net: multi-scale contextual information aggregation network for image captioning on remote sensing images (2023)
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Assessing spatiotemporal bikeability using multi-source geospatial big data: A case study of Xiamen, China (2023)
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Consistency-guided lightweight network for semi-supervised binary change detection of buildings in remote sensing images (2023)
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Evaluating simulated visible greenness in urban landscapes: An examination of a midsize U.S. city (2023)
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AERNet: An Attention-Guided Edge Refinement Network and a Dataset for Remote Sensing Building Change Detection (2023)
Federal Grants 1 $50,000 total
NSF
PI
Feb 2023 - Jan 2024
I-Corps: Scalable Artificial Intelligence-Supported Flood Resilience Assessment
Collaboration Network
Top Collaborators
Zhenfeng Shao
Wuhan University (CN)
54 shared publications
- Assessment of the importance of increasing temperature and decreasing soil moisture on global ecosystem productivity using solar‐induced chlorophyll fluorescence
- AERNet: An Attention-Guided Edge Refinement Network and a Dataset for Remote Sensing Building Change Detection
- DSA-Net: A novel deeply supervised attention-guided network for building change detection in high-resolution remote sensing images
- Assessing the impact of drought-land cover change on global vegetation greenness and productivity
- Object Detection in UAV Images via Global Density Fused Convolutional Network
Showing 5 of 54 shared publications
Zhenlong Li
University of South Carolina (US)
26 shared publications
- Twitter reveals human mobility dynamics during the COVID-19 pandemic
- Human mobility data in the COVID-19 pandemic: characteristics, applications, and challenges
- Revealing Public Opinion Towards COVID-19 Vaccines With Twitter Data in the United States: Spatiotemporal Perspective
- The characteristics of multi-source mobility datasets and how they reveal the luxury nature of social distancing in the U.S. during the COVID-19 pandemic
- Using Mobile Device Data to Track the Effects of the COVID-19 Pandemic on Spatiotemporal Patterns of National Park Visitation
Showing 5 of 26 shared publications
Siqin Wang
Tokyo University of Information Sciences (JP)
16 shared publications
- Human mobility data in the COVID-19 pandemic: characteristics, applications, and challenges
- Revealing Public Opinion Towards COVID-19 Vaccines With Twitter Data in the United States: Spatiotemporal Perspective
- Health-integrated heat risk assessment in Australian cities
- Social media mining under the COVID-19 context: Progress, challenges, and opportunities
- Urban–rural disparity of social vulnerability to natural hazards in Australia
Showing 5 of 16 shared publications
Ruiqian Zhang
Chinese Academy of Surveying and Mapping (CN)
15 shared publications
- Global-aware siamese network for change detection on remote sensing images
- Object Detection in UAV Images via Global Density Fused Convolutional Network
- Multi-scale adversarial network for vehicle detection in UAV imagery
- A Dual-Path Fusion Network for Pan-Sharpening
- Adaptive dense pyramid network for object detection in UAV imagery
Showing 5 of 15 shared publications
Jiaming Wang
Wuhan Institute of Technology (CN)
15 shared publications
- Global-aware siamese network for change detection on remote sensing images
- Object Detection in UAV Images via Global Density Fused Convolutional Network
- Multi-scale adversarial network for vehicle detection in UAV imagery
- A Dual-Path Fusion Network for Pan-Sharpening
- Adaptive dense pyramid network for object detection in UAV imagery
Showing 5 of 15 shared publications
Qingwei Zhuang
Wuhan University (CN)
14 shared publications
- Assessing the impact of drought-land cover change on global vegetation greenness and productivity
- Evolution of soil salinization under the background of landscape patterns in the irrigated northern slopes of Tianshan Mountains, Xinjiang, China
- Impact of global urban expansion on the terrestrial vegetation carbon sequestration capacity
- Modeling carbon storage in urban vegetation: Progress, challenges, and opportunities
- Monitoring, analyzing and predicting urban surface subsidence: A case study of Wuhan City, China
Showing 5 of 14 shared publications
Deren Li
Wuhan University (CN)
13 shared publications
- AERNet: An Attention-Guided Edge Refinement Network and a Dataset for Remote Sensing Building Change Detection
- Object Detection in UAV Images via Global Density Fused Convolutional Network
- Impact of global urban expansion on the terrestrial vegetation carbon sequestration capacity
- Multi-scale adversarial network for vehicle detection in UAV imagery
- Modeling carbon storage in urban vegetation: Progress, challenges, and opportunities
Showing 5 of 13 shared publications
Bowen Cai
Wuhan University (CN)
11 shared publications
- Assessing the impact of drought-land cover change on global vegetation greenness and productivity
- Evolution of soil salinization under the background of landscape patterns in the irrigated northern slopes of Tianshan Mountains, Xinjiang, China
- Finer-scale spatiotemporal coupling coordination model between socioeconomic activity and eco-environment: A case study of Beijing, China
- Deep learning-based building height mapping using Sentinel-1 and Sentinel-2 data
- Unequal weakening of urbanization and soil salinization on vegetation production capacity
Showing 5 of 11 shared publications
Orhan Altan
Istanbul Technical University (TR)
11 shared publications
- DSA-Net: A novel deeply supervised attention-guided network for building change detection in high-resolution remote sensing images
- Evolution of soil salinization under the background of landscape patterns in the irrigated northern slopes of Tianshan Mountains, Xinjiang, China
- Impact of global urban expansion on the terrestrial vegetation carbon sequestration capacity
- Modeling carbon storage in urban vegetation: Progress, challenges, and opportunities
- Monitoring, analyzing and predicting urban surface subsidence: A case study of Wuhan City, China
Showing 5 of 11 shared publications
Xinyue Ye
Texas A&M University (US)
10 shared publications
- The characteristics of multi-source mobility datasets and how they reveal the luxury nature of social distancing in the U.S. during the COVID-19 pandemic
- Social media mining under the COVID-19 context: Progress, challenges, and opportunities
- Exploring the vertical dimension of street view image based on deep learning: a case study on lowest floor elevation estimation
- Measuring global multi-scale place connectivity using geotagged social media data
- ODT FLOW: Extracting, analyzing, and sharing multi-source multi-scale human mobility
Showing 5 of 10 shared publications
Tao Hu
Oklahoma State University (US)
10 shared publications
- Human mobility data in the COVID-19 pandemic: characteristics, applications, and challenges
- Revealing Public Opinion Towards COVID-19 Vaccines With Twitter Data in the United States: Spatiotemporal Perspective
- Social media mining under the COVID-19 context: Progress, challenges, and opportunities
- Urban–rural disparity of social vulnerability to natural hazards in Australia
- ODT FLOW: Extracting, analyzing, and sharing multi-source multi-scale human mobility
Showing 5 of 10 shared publications
Tao Lü
Wuhan Institute of Technology (CN)
10 shared publications
- A Dual-Path Fusion Network for Pan-Sharpening
- Spatial–temporal pooling for action recognition in videos
- Enhanced image prior for unsupervised remoting sensing super-resolution
- From Artifact Removal to Super-Resolution
- A Deep Unfolding Method for Satellite Super Resolution
Showing 5 of 10 shared publications
Mengxi Zhang
Carilion Clinic (US)
10 shared publications
- Human mobility data in the COVID-19 pandemic: characteristics, applications, and challenges
- Revealing Public Opinion Towards COVID-19 Vaccines With Twitter Data in the United States: Spatiotemporal Perspective
- Social media mining under the COVID-19 context: Progress, challenges, and opportunities
- Urban–rural disparity of social vulnerability to natural hazards in Australia
- Public Surveillance of Social Media for Suicide Using Advanced Deep Learning Models in Japan: Time Series Study From 2012 to 2022
Showing 5 of 10 shared publications
Huan Ning
University of South Carolina (US)
9 shared publications
- Using Mobile Device Data to Track the Effects of the COVID-19 Pandemic on Spatiotemporal Patterns of National Park Visitation
- Exploring the vertical dimension of street view image based on deep learning: a case study on lowest floor elevation estimation
- Measuring global multi-scale place connectivity using geotagged social media data
- Converting street view images to land cover maps for metric mapping: A case study on sidewalk network extraction for the wheelchair users
- ODT FLOW: Extracting, analyzing, and sharing multi-source multi-scale human mobility
Showing 5 of 9 shared publications
Xiao Li
Texas Department of Transportation (US)
8 shared publications
- Social media mining under the COVID-19 context: Progress, challenges, and opportunities
- Do underserved and socially vulnerable communities observe more crashes? A spatial examination of social vulnerability and crash risks in Texas
- Aggravated social segregation during the COVID-19 pandemic: Evidence from crowdsourced mobility data in twelve most populated U.S. metropolitan areas
- Sensing Population Distribution from Satellite Imagery Via Deep Learning:Model Selection, Neighboring Effects, and Systematic Biases
- Emerging geo-data sources to reveal human mobility dynamics during COVID-19 pandemic: opportunities and challenges
Showing 5 of 8 shared publications
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