Sheng Huang
Biographic Data
| ID | 4024073 |
|---|---|
| NAME | Sheng Huang |
| GIVEN NAMES | Sheng |
| FAMILY NAME | Huang |
| SIGNATURE | HUANG S |
| AFFILIATIONS | Chinese Academy of Sciences |
| ORCID | 0000-0001-5900-627X |
| VERIFIED | Yes |
| TOTAL WORKS | 17 |
| TOTAL CITATIONS | 3 |
| WORKS AS AUTHOR | 17 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Beyond static census
Accurate population exposure assessment is critical for urban flood disaster management, yet traditional approaches rely on static census data that fail to capture dynamic activity patterns. Using hourly mobile phone signaling data from four rainstorm events in Suqian, China, in 2023, we develop an analysis framework integrating baseline estimation, anomaly pattern recognition, and severity-graded dynamic exposure assessment. Hourly analysis reve…
Rainfall reshapes intra-urban activity patterns
Research on the urban public perception of different rainfall types in China
Identifying publicly perceived high temperature thresholds across Chinese cities using geotagged social media data
Low perception of climate change by farmers and herders on Tibetan Plateau
Only 26 % of Tibetan farmers perceive significant warming in their region. • Rate of temperature change significantly influences climate change perception. • Income predicts climate awareness among Tibetan farmers and herders. Vulnerable groups living in climate-sensitive areas are facing unprecedented risks. Their perception of the changing climate and its impacts has potentially significant influence over the choices they make in response. Howe…
Unravelling urban dynamics
Quantifying Urban Linguistic Diversity Related to Rainfall and Flood across China with Social Media Data
Understanding the public’s diverse linguistic expressions about rainfall and flood provides a basis for flood disaster studies and enhances linguistic and cultural awareness. However, existing research tends to overlook linguistic complexity, potentially leading to bias. In this study, we introduce a novel algorithm capturing rainfall and flood-related expressions, considering the relationship between precipitation observations and linguistics ex…
Evaluating resilience of urban lifelines against flooding in China using social media data
Measuring community resilience inequality to inland flooding using location aware big data
Multiview Deep Matrix Factorization for Shared Compact Representation
Multiview learning aims to learn beneficial patterns from heterogeneous data sources and has captured growing attention in recent years. Most of the previous research studies focused on searching for an effective feature embedding of downstream tasks using diverse optimization algorithms, however, very limited work has been conducted to explore the connection between multiview learning and deep neural networks of structure sharing hidden layers. …
Nighttime light satellite images reveal uneven socioeconomic development along China's land border
Protected areas effectively resisted 33.8% of urban development pressures in China during 2000–2018
Disentangling relations between dynamic urban structure and its efficiency in 287 cities across China
Spatiotemporal Variations in Shanghai Metro Commuting Flows during Rainfall Events
Driven by both climate change and urbanization, extreme rainfall events are becoming more frequent and having an increasing impact on urban commuting. Using hourly rainfall data and “metro” origin–destination (OD) flow data in Shanghai, China, this study uses the Prophet time series model to calculate the predicted commuting flows during rainfall events and then quantifies the spatiotemporal variations of commuting flows due to rainfall at statio…
Regional geographical and climatic environments affect urban rainstorm perception sensitivity across China
Assessment and Implication of PAHs and Compound-Specific δ13C Compositions in a Dated Marine Sediment Core from Daya Bay, China
PAHs in a sediment core covering ~120 years from Daya Bay in South China Sea were extracted using Soxhlet and high performance thin layer chromatography, and the compound-specific δ 13 C were analyzed using gas chromatography-combustion-isotopic ratio mass spectrometry. The concentrations of PAHs ranged from 99.3 to 676 ng g -1 , with high molecular weight PAHs as a key component. PAHs' compound-specific δ 13 C ranged from -35.02‱ to -16.14‱. The…
Adsorption of Cadmium on Degraded Soils Amended with Maize-Stalk-Derived Biochar
Biochar has been extensively proven to distinctively enhance the sorption capacity of both heavy metal and organic pollutants and reduce the related environmental risks. Soil pollution and degradation widely coexist, and the effect of biochar addition on adsorption behavior by degraded soils is not well understood. Four degraded soils with different degrees of degradation were amended with maize-stalk-derived biochar to investigate the adsorption…
Low perception of climate change by farmers and herders on Tibetan Plateau
Only 26 % of Tibetan farmers perceive significant warming in their region. • Rate of temperature change significantly influences climate change perception. • Income predicts climate awareness among Tibetan farmers and herders. Vulnerable groups living in climate-sensitive areas are facing unprecedented risks. Their perception of the changing climate and its impacts has potentially significant influence over the choices they make in response. Howe…
Unravelling urban dynamics
Adsorption of Cadmium on Degraded Soils Amended with Maize-Stalk-Derived Biochar
Biochar has been extensively proven to distinctively enhance the sorption capacity of both heavy metal and organic pollutants and reduce the related environmental risks. Soil pollution and degradation widely coexist, and the effect of biochar addition on adsorption behavior by degraded soils is not well understood. Four degraded soils with different degrees of degradation were amended with maize-stalk-derived biochar to investigate the adsorption…
Spatiotemporal Variations in Shanghai Metro Commuting Flows during Rainfall Events
Driven by both climate change and urbanization, extreme rainfall events are becoming more frequent and having an increasing impact on urban commuting. Using hourly rainfall data and “metro” origin–destination (OD) flow data in Shanghai, China, this study uses the Prophet time series model to calculate the predicted commuting flows during rainfall events and then quantifies the spatiotemporal variations of commuting flows due to rainfall at statio…
Regional geographical and climatic environments affect urban rainstorm perception sensitivity across China
Assessment and Implication of PAHs and Compound-Specific δ13C Compositions in a Dated Marine Sediment Core from Daya Bay, China
PAHs in a sediment core covering ~120 years from Daya Bay in South China Sea were extracted using Soxhlet and high performance thin layer chromatography, and the compound-specific δ 13 C were analyzed using gas chromatography-combustion-isotopic ratio mass spectrometry. The concentrations of PAHs ranged from 99.3 to 676 ng g -1 , with high molecular weight PAHs as a key component. PAHs' compound-specific δ 13 C ranged from -35.02‱ to -16.14‱. The…
Multiview Deep Matrix Factorization for Shared Compact Representation
Multiview learning aims to learn beneficial patterns from heterogeneous data sources and has captured growing attention in recent years. Most of the previous research studies focused on searching for an effective feature embedding of downstream tasks using diverse optimization algorithms, however, very limited work has been conducted to explore the connection between multiview learning and deep neural networks of structure sharing hidden layers. …
Nighttime light satellite images reveal uneven socioeconomic development along China's land border
Protected areas effectively resisted 33.8% of urban development pressures in China during 2000–2018
Disentangling relations between dynamic urban structure and its efficiency in 287 cities across China
Quantifying Urban Linguistic Diversity Related to Rainfall and Flood across China with Social Media Data
Understanding the public’s diverse linguistic expressions about rainfall and flood provides a basis for flood disaster studies and enhances linguistic and cultural awareness. However, existing research tends to overlook linguistic complexity, potentially leading to bias. In this study, we introduce a novel algorithm capturing rainfall and flood-related expressions, considering the relationship between precipitation observations and linguistics ex…
Evaluating resilience of urban lifelines against flooding in China using social media data
Measuring community resilience inequality to inland flooding using location aware big data
Research on the urban public perception of different rainfall types in China
Identifying publicly perceived high temperature thresholds across Chinese cities using geotagged social media data
Low perception of climate change by farmers and herders on Tibetan Plateau
Only 26 % of Tibetan farmers perceive significant warming in their region. • Rate of temperature change significantly influences climate change perception. • Income predicts climate awareness among Tibetan farmers and herders. Vulnerable groups living in climate-sensitive areas are facing unprecedented risks. Their perception of the changing climate and its impacts has potentially significant influence over the choices they make in response. Howe…
Unravelling urban dynamics
Beyond static census
Accurate population exposure assessment is critical for urban flood disaster management, yet traditional approaches rely on static census data that fail to capture dynamic activity patterns. Using hourly mobile phone signaling data from four rainstorm events in Suqian, China, in 2023, we develop an analysis framework integrating baseline estimation, anomaly pattern recognition, and severity-graded dynamic exposure assessment. Hourly analysis reve…
Rainfall reshapes intra-urban activity patterns
Geography (12 works) · China (8 works) · Computer Science (8 works) · Urban Transport and Accessibility (7 works) · Environmental Science (6 works) · Human Mobility and Location-Based Analysis (6 works) · Cartography (5 works) · Mathematics (5 works) · Disaster Management and Resilience (4 works) · Geology (4 works)