Gang Li
Biographic Data
| ID | 3646480 |
|---|---|
| NAME | Gang Li |
| GIVEN NAMES | Gang |
| FAMILY NAME | Li |
| SIGNATURE | LI G |
| AFFILIATIONS | University of Surrey |
| ORCID | 0000-0002-9858-5232 |
| VERIFIED | Yes |
| TOTAL WORKS | 204 |
| TOTAL CITATIONS | 734 |
| AUTHOR COUNT | 204 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2005 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 15 |
Discovery of Potential New Drug Targets for Osteoporosis of Various Subtypes With or Without Pathological Fracture Complications
Transformational and Transactional Leadership, Sustainable Supply Chain Management Practice, and Organizational Responsiveness
Drawing on leadership theory and upper echelons theory, this study investigates the relationships between transformational (TFL) and transactional leadership (TSL), sustainable supply chain management practices (SSCMP), organizational responsiveness, and top management team's (TMT) sustainability commitment. With emphasis on how TMT sustainability commitment moderates these relationships, we analyze data from 235 manufacturing firms. Our findings…
Leveraging Supplier Integration for Sustainable Supply Chain Practices
Extant research has given insufficient attention to the influence of supplier integration on sustainable supply chain practices (SSCPs), while also neglecting the contingent role of governance mechanisms. Using boundary theory and resource–capability–performance (outcome) theoretical framework, this study applies hierarchical linear regression and bootstrapping to analyze survey data collected from 235 Chinese manufacturing enterprises, testing a…
Green creative networks, green dynamic capability, and green entrepreneurship behaviors
As the core entities of China's modern agricultural operation system, green entrepreneurial behaviors of family farms are directly related to the implementation of ecological sustainability. Based on empirical data from 438 Chinese family farms, the present study proposes the concept and classification of green creative networks (GCNs) in the context of family farms and analyzes the relationships among GCNs, green dynamic capability, and green en…
Quantifying the Behavioral Impact of Screen Exposure on Self-Regulation via Mendelian Randomization
Digital screen exposure has become ubiquitous, yet its causal impact on self-regulation traits remains poorly understood due to methodological limitations in observational research. This study develops a methodological innovation by integrating Mendelian randomization (MR) with advanced multivariable modeling and machine-learning instrument selection. Unlike conventional MR applications primarily in biomedical research, our framework extends gene…
Attack Graph-Epidemic Hybrid Modeling for Mitigating Cyber Threats Propagation
Despite notable advancements in applying epidemic models to cybersecurity, current approaches often underperform in practice. Research indicates that these models can produce substantial prediction errors due to challenges in parameter estimation, the complexity and heterogeneity of real-world networks, and limitations in accurately evaluating model performance against empirical data. Prior models frequently rely on generalized or static paramete…
Invariant Spatial Relation-Based Road Network Graphics Retrieval for GPS Art
In recent years, people have increasingly sought to generate exercise trajectories that embody specific semantic shapes in order to create GPS art and share it on social platforms. This trend has created an urgent demand for navigation paths with specific semantic meanings on smartwatches and smartphones. Current methods mainly rely on manual design and lack efficient automation. Therefore, this study proposes a novel method for automatically obt…
How online information search reshapes the impact of price and income on tourism demand
Online query data have emerged as a prevalent source for tourism demand forecasting, but their influence mechanism remains unclear. This study seeks to verify the moderating role of tourists’ online information search behavior on price and income. This empirical study of Hong Kong’s tourism demand among eight English-speaking markets reveals that (1) this behavior moderates how price and income affect tourism demand; (2) regarding price’s effect …
Multi-intent prediction of scientific literature based on heterogeneous graph fusion network
Sophisticated millet-pig agriculture fueled asynchronous social complexity in the Neolithic Chinese Loess Plateau
Eclipsing or enlightening? Unravelling the peer effects of star doctoral students in STEM fields in China
A review of the second tourism forecasting competition for post-pandemic recovery
Could Noise Become Beneficial? The Effect of Ambient Noise on Virtual Museum Engagement and Behavioural Intention
The dearth of physical access during COVID‐19, spurring the rise of virtual museum visits, makes such digital initiatives permanently more accessible and appealing even in the post‐pandemic landscape. Optimising virtual museum experiences therefore emerges as a valuable endeavour. This research investigates how and why ambient noise, an important environmental factor, influences virtual engagement and physical visit intentions. Through experiment…
A novel deep learning model for objective quantification of generalized anxiety disorder severity using EEG functional connectivity
Generalized anxiety disorder (GAD) is a prevalent and disabling psychiatric condition, yet its severity is still assessed mainly through clinical interviews and self-report scales, which lack objective neurobiological markers. This study aimed to develop an electroencephalography (EEG)-based deep learning (DL) model for objective quantification of GAD severity based on functional connectivity (FC) features. Resting-state EEG was recorded for 10 m…
Mortality and long-term exposure to source-specific PM2·5
National Key Research and Development Program of China, National Natural Science Foundation of China, Shanghai Municipal Science and Technology Major Project, and Shanghai International Science and Technology Partnership Project
Animal exploitation transformations in relation to geopolitical shifts from the Zhou to Han Dynasty in the Yellow River valley, China
Spatio-temporal changes in animal exploitation strategies and their influencing factors in the Yellow River valley in China have been extensively reviewed, particularly during the Neolithic to Bronze Age (~8000–1000 BCE). The Zhou to Han Dynasty (1046 BCE–220 CE) witnessed transitions from the era of kingdoms to the imperial age, as well as prehistoric transcontinental exchanges to opening of the Silk Road. However, the importance of geopolitical…
Imputation recovery tourism demand forecasting
Tourism demand forecasting is vital for planning yet faces challenges like data misalignment and external shocks. Data misalignment—due to missing values, irregular reporting, and inconsistent frequencies—undermines data quality. Shocks such as pandemics or natural disasters disrupt patterns, reducing the reliability of historical data. Traditional models (e.g., ARIMA, ETS) assume clean, regular data, limiting their effectiveness in such contexts…
Tourist Decision-Making and Types of Crises
The paper addresses how individual rankings of destinations change between non-crisis and crisis conditions, and across different types of crises under conditions of bounded rationality in the face of shifting risks and uncertainties. The impacts of three types of potential crises—heatwaves, epidemics, and terrorism—are analyzed using novel multi-perspective experimental methods linked to a five-country international survey of risk attitudes and …
Tourism Demand Forecasting in Normal and Crisis Times
Taking advantage of the merits of both the bootstrap-aggregating method and the Bayesian forecasting approach, this study introduces their combination—the BayesBag method—to the tourism forecasting literature for the first time. In this study, we examine whether the novel BayesBag method can improve the forecasting performance of the traditional Autoregressive-Distributed-Lag (ADL) model in both normal (i.e., pre-COVID-19) and crisis (i.e., durin…
A joint-training topic model for social media texts
The burgeoning significance of topic mining for social media text has intensified with the proliferation of social media platforms. Nevertheless, the brevity and discreteness of social media text pose significant challenges to conventional topic models, which often struggle to perform well on them. To address this, the paper establishes a more precise Position-Sensitive Word-Embedding Topic Model (PS-WETM) to adeptly capture intricate semantic an…
Sustainable supply chain management practices and performance
Currently, sustainable supply chain management practices have become an important strategy for firms to improve performance and gain competitive advantage. However, there is a current debate over the performance outcomes of sustainable supply chain management practices. Additionally, the role of stakeholder pressure is frequently overlooked. Drawing on Natural Resources-Based View and Stakeholder Theory, this study aims to elucidate the ambiguous…
Multiagent Confrontation Method Based on Three-Party Dynamic Multistrategy Evolutionary Game
Unmanned agents represent a significant advancement in unmanned control and constitute an important element in the future agent warfare. Their autonomous decision-making capabilities are integral to accomplishing tasks independently. To address challenges inherent in multiparty game scenarios that traditional method struggle with and enhance the applicability and accuracy of game decision-making, this article proposes a novel multiagent confronta…
Impulse Strategies for Suppressing Cyber Propaganda With Awareness
Cyber propaganda has become an increasingly sophisticated tool for manipulating public perception and discourse within online social networks (OSNs). The effectiveness of cyber propaganda is strongly influenced by the interplay between individual awareness and the underlying topology of OSNs that facilitates the spread of propaganda. However, existing interventions primarily focus on continuous control strategies, which may not be feasible in cer…
Beyond the Comfort Zone
Strenuous sports are associated with an enlarged prostate. However, the genetic causality of this association remains unclear. In this study, Mendelian randomization (MR) was used to explore the potential causal relationship between strenuous sports and prostatic hypertrophy. The study utilizes single nucleotide polymorphisms (SNPs) associated with strenuous sports obtained from published genome-wide association studies (GWAS), alongside summariz…
Seeing is believing
This study investigates how the mere presence and quality of visual cues affect the popularity of shared accommodations, drawing on cue utilisation theory. Using text mining and image recognition methods to process shared accommodation listing data, a multi-method sequential design is applied to examine the combined impacts of pictorial and textual cues related to the listing environment and the host. We also explore the mediating role of social …
Tourism demand modelling and forecasting—A review of recent research
Exploring the travel behaviors of inbound tourists to Hong Kong using geotagged photos
The migration intentions of young adults in Europe
Research on migration intentions is relatively fragmented, traditionally drawing conclusions from relatively small survey samples, focussing on individual countries, or relying on public opinion polls which provide very few explanatory variables. This paper addresses these limitations by developing a multilevel model of an extensive range of macro, meso, and microdeterminants of migration intentions across different time frames. The paper utilise…
Tourism and regional income inequality
Forecasting tourism demand with multisource big data
The global implications of the early surviving rock art of greater Southeast Asia
The rock art of Southeast Asia has been less thoroughly studied than that of Europe or Australia, and it has generally been considered to be more recent in origin. New dating evidence from Mainland and Island Southeast Asia, however, demonstrates that the earliest motifs (hand stencils and naturalistic animals) are of late Pleistocene age and as early as those of Europe. The similar form of the earliest painted motifs in Europe, Africa and Southe…
Threat of infectious disease during an outbreak
Risk, uncertainty and ambiguity amid Covid-19
This study analyses how Covid-19 shapes individuals' international tourism intentions in context of bounded rationality. It provides a novel analysis of risk which is disaggregated into tolerance/aversion of and competence to manage risks across three different aspects: general, domain (tourism) and situational (Covid-19). The impacts of risk are also differentiated from uncertainty and ambiguity. The empirical study is based on large samples (to…
The combination of interval forecasts in tourism
The Hong Kong tourist satisfaction index
Service robots or human staff
Modelling the interdependence of tourism demand
Combination forecasts of International tourism demand
Consuming post-disaster destinations
Tourism memory, mood repair and behavioral intention
Recall of tourism experiences evokes pleasant affect tied to the trip, which leads to mood and behavioral intentions. Based on experimental design with two studies, this research investigates the mood-repairing role of tourism memory, memory characteristics, and affective and behavioral consequences of tourism memory. Study 1 confirmed that both positive and negative mood groups recall positive tourism memories, and the effect of mood repair moti…
Forecasting international tourism demand
Do looks matter for hosts on the peer-to-peer sharing accommodation market
Land use projections in China under global socioeconomic and emission scenarios
Archaeological discovery and research at Bianbiandong early Neolithic cave site, Shandong, China
Identifying emerging hotel preferences using Emerging Pattern Mining technique
Uranium-series age estimates for rock art in southwest China
Forecasting tourism demand
Group pooling for deep tourism demand forecasting
How competitive is Hong Kong against its competitors? An econometric study
Impacts of risk aversion on tourism consumption
Recent Developments in Econometric Modeling and Forecasting
Eighty-four post-1990 empirical studies of international tourism demand modeling and forecasting using econometric approaches are reviewed. New developments are identified, and it is shown that applications of advanced econometric methods improve the understanding of international tourism demand. An examination of the 22 studies that compare forecasting performance suggests that no single forecasting method can outperform the alternatives in all …
Multi-agent collaboration strategies for tourism demand forecasting
Tourism demand modelling and forecasting—A review of recent research
The Advanced Econometrics of Tourism Demand
Tourism demand is the foundation on which all tourism-related business decisions ultimately rest. Governments and companies such as airlines, tour operators, hotels, cruise ship lines, and recreation facility providers are interested in the demand for their products by tourists. The success of many businesses depends largely or totally on the state
Tourism Demand Modeling and Forecasting
Greater China, including Mainland China, Hong Kong, Macau, and Taiwan, contributes significantly to both regional and global tourism developments. Empirical research on tourism demand modeling and forecasting has attracted increasing attention of scholars both within and beyond this region. One hundred eighty articles are identified that were published in both English‐ and Chinese‐language journals since the beginning of the 1990s. This study pre…
Which preventive measures might protect health care workers from Sars
Some measures, particularly good air ventilation in SARS wards, may be effective in minimizing or preventing SARS transmission among HCWs in hospitals
Tourism Demand Modelling and Forecasting
Tourist arrivals and tourist expenditure, in both aggregate and per capita forms, are commonly used measures of tourism demand in empirical research. This study compares these two measures in the context of econometric modelling and the forecasting of tourism demand. The empirical study focuses on demand for Hong Kong tourism by residents of Australia, the UK and the USA. Using the general-to-specific modelling approach, key determinants of touri…
Effect of antler extract on corticosteroid-induced avascular necrosis of the femoral head in rats
Recovery of Tourism Demand in Hong Kong From the Global Financial and Economic Crisis
This study aims to predict the recovery of the Hong Kong tourism industry from the current global financial and economic crisis. Based on the latest statistics available, this study provides updated forecasts of tourist arrivals to Hong Kong from 10 key source markets over the period 2010-2015. The forecasts include annual and quarterly forecasts of tourist arrivals and the market shares of the source markets concerned. An econometric method is u…
Uranium-series age estimates for rock art in southwest China
Identifying changes and trends in Hong Kong outbound tourism
Combination forecasts of International tourism demand
Exploratory analysis of verbal aggression in romantic relationships among unmarried men and women
This is an exploratory study that examined verbal aggression in romantic relationships among unmarried Black and White women and men as a function of gender and race. We employed an ecological approach to examine the receipt of verbal aggression separately for men and women at the levels of individual, relationship, and community. We also explored whether gender-specific correlates of verbal aggression interacted with race. Analyses were based on…
Tourism economics research
Comparing Mainland Chinese Tourists' Satisfaction With Hong Kong and the UK Using Tourist Satisfaction Index
This study aims to assess Mainland Chinese tourists' satisfaction with the UK and Hong Kong using a Tourist Satisfaction Index (TSI) approach. Based on a survey with Mainland Chinese tourists in the UK who also visited Hong Kong recently, this study computes the overall destination TSIs and sectoral TSIs for both Hong Kong and the UK. The results suggest that, overall, Mainland Chinese tourists were more satisfied with Hong Kong than with the UK …
A behavioral analysis of web sharers and browsers in Hong Kong using targeted association rule mining
Economic analysis of tourism consumption dynamics
The Hong Kong tourist satisfaction index
A learning method for Top-N recommendations with incomplete data
How competitive is Hong Kong against its competitors? An econometric study
The maximum imputation framework for neighborhood-based collaborative filtering
Privacy preserving collaborative filtering for KNN attack resisting
Prevalence and Antimicrobial Resistance of Enterococcus Species
similar to previous findings, E. faecium and E. faecalis are predominant conditionally pathogenic bacteria that cause hospital-acquired infections that can cause urinary and respiratory system infections. Multiple and high-level antimicrobial resistance is highly prevalent in the hospital isolates of Enterococcus species. Reserpine treatment inhibits the active efflux of Enterococcus species to ciprofloxacin, gatifloxacin and levofloxacin in vitr…
Modelling substitution between domestic and outbound tourism in Australia
Consuming post-disaster destinations
Geography (80 works) · Tourism (69 works) · Computer Science (67 works) · Business (57 works) · Diverse Aspects of Tourism Research (54 works) · Economics (54 works) · Psychology (40 works) · Marketing (35 works) · Medicine (35 works) · Political science (33 works)