Lichen Zhang
Biographic Data
| ID | 6273940 |
|---|---|
| NAME | Lichen Zhang |
| GIVEN NAMES | Lichen |
| FAMILY NAME | Zhang |
| SIGNATURE | ZHANG L |
| AFFILIATIONS | Chongqing University |
| ORCID | 0000-0002-7810-9941 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 8 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Carbon footprint and embodied carbon transfer in industrial cities: An analysis of Chongqing based on the SRIO and GM (1,1) models
Against the backdrop of global carbon neutrality, industrial cities, being major sources of carbon emissions, require a comprehensive analysis of their economy-wide embodied carbon-transfer mechanisms. This study focuses on Chongqing, a representative industrial city, and constructs an embodied carbon-transfer prediction and analysis by integrating a single-region, import-adjusted, non-competitive input–output model with a gray forecasting model.…
Team Formation in Social Networks: A Deep Reinforcement Learning Solution
Given a project, the team formation problem (TFP) aims to find a team of experts with all the required skills and minimize the team’s communication cost. The TFP has emerged as a prominent research topic due to its substantial influence on team performance and the subsequent impact on organizational success. Previous research mainly concentrates on proposing heuristic or metaheuristic algorithms, yet fails to consider the historical experience of…
PGCL: Precisely Capturing Propagation Structure Characteristics via Graph Contrastive Learning for Rumor Detection
Does vulnerability to household energy poverty affect rural children’s cognition?—Empirical study based on CFPS data
Energy poverty constrains human development and brings many negative impacts, which makes it one of the urgent global problems at present. Compared to cities, rural areas face a more severe problem of relative energy poverty, where children are the first to suffer from relative energy poverty. Thus, portraying the vulnerability of rural children to energy poverty not only helps to identify the relative state of energy poverty in rural households …
Spatial and temporal evolution of synergizing the reduction of pollution and carbon emissions and examination on comprehensive pilot effects–evidence from the national eco-industrial demonstration par…
Knowledge Mapping and Institutional Prospects on Circular Carbon Economy Based on Scientometric Analysis
The circular carbon economy is receiving increasing research attention as an essential tool for reducing carbon emissions and mitigating climate change. However, there is no research on the literature distribution and the current situation of the circular carbon economy studies. This paper presents a scientometric analysis of 1452 academic papers on the circular carbon economy and their references from 2010-2021 using the Citespace visualization …
Conflict-Aware Participant Recruitment for Mobile Crowdsensing
In mobile crowdsensing, numerous smartphone users fulfill a complex environmental or social task in a cooperative way, in which participant recruitment or task allocation is a fundamental issue. Various mechanisms have been proposed to motivate normal users to participate in sensing tasks or provide high-quality sensing data. However, there exist some conflicts among tasks and participants, which make participant recruitment a challenging issue. …
Conflict-Aware Participant Recruitment for Mobile Crowdsensing
In mobile crowdsensing, numerous smartphone users fulfill a complex environmental or social task in a cooperative way, in which participant recruitment or task allocation is a fundamental issue. Various mechanisms have been proposed to motivate normal users to participate in sensing tasks or provide high-quality sensing data. However, there exist some conflicts among tasks and participants, which make participant recruitment a challenging issue. …
Knowledge Mapping and Institutional Prospects on Circular Carbon Economy Based on Scientometric Analysis
The circular carbon economy is receiving increasing research attention as an essential tool for reducing carbon emissions and mitigating climate change. However, there is no research on the literature distribution and the current situation of the circular carbon economy studies. This paper presents a scientometric analysis of 1452 academic papers on the circular carbon economy and their references from 2010-2021 using the Citespace visualization …
Spatial and temporal evolution of synergizing the reduction of pollution and carbon emissions and examination on comprehensive pilot effects–evidence from the national eco-industrial demonstration par…
Does vulnerability to household energy poverty affect rural children’s cognition?—Empirical study based on CFPS data
Energy poverty constrains human development and brings many negative impacts, which makes it one of the urgent global problems at present. Compared to cities, rural areas face a more severe problem of relative energy poverty, where children are the first to suffer from relative energy poverty. Thus, portraying the vulnerability of rural children to energy poverty not only helps to identify the relative state of energy poverty in rural households …
Carbon footprint and embodied carbon transfer in industrial cities: An analysis of Chongqing based on the SRIO and GM (1,1) models
Against the backdrop of global carbon neutrality, industrial cities, being major sources of carbon emissions, require a comprehensive analysis of their economy-wide embodied carbon-transfer mechanisms. This study focuses on Chongqing, a representative industrial city, and constructs an embodied carbon-transfer prediction and analysis by integrating a single-region, import-adjusted, non-competitive input–output model with a gray forecasting model.…
Team Formation in Social Networks: A Deep Reinforcement Learning Solution
Given a project, the team formation problem (TFP) aims to find a team of experts with all the required skills and minimize the team’s communication cost. The TFP has emerged as a prominent research topic due to its substantial influence on team performance and the subsequent impact on organizational success. Previous research mainly concentrates on proposing heuristic or metaheuristic algorithms, yet fails to consider the historical experience of…
PGCL: Precisely Capturing Propagation Structure Characteristics via Graph Contrastive Learning for Rumor Detection
Carbon fibers (3 works) · Computer Science (3 works) · Computer security (2 works) · Ecology (2 works) · Economics (2 works) · Energy, Environment, Economic Growth (2 works) · Environmental Impact and Sustainability (2 works) · Geography (2 works) · Greenhouse gas (2 works) · Heuristic (2 works)