An Zeng
Dados Biográficos
| ID | 120167 |
|---|---|
| NOME | An Zeng |
| PRENOMES | An |
| SOBRENOME | Zeng |
| ASSINATURA | ZENG A |
| AFILIAÇÕES | Beijing Normal University |
| ORCID | 0000-0003-1215-2311 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 11 |
| TOTAL DE CITAÇÕES | 4 |
| TOTAL COMO AUTOR | 11 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2010 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2025 |
| ÍNDICE H | 1 |
Academic mentees thrive in big groups, but survive in small groups
Adaptive 3DCNN-Based Interpretable Ensemble Model for Early Diagnosis of Alzheimer’s Disease
Adaptive interpretable ensemble model based on three-dimensional Convolutional Neural Network (3DCNN) and Genetic Algorithm (GA), i.e., 3DCNN+EL+GA, was proposed to differentiate the subjects with Alzheimer's Disease (AD) or Mild Cognitive Impairment (MCI) and further identify the discriminative brain regions significantly contributing to the classifications in a data-driven way. Plus, the discriminative brain sub-regions at a voxel level were fu…
Enhancing the robustness of the disruption metric against noise
Evaluating scientists by citation and disruption of their representative works
Predicting the impact and publication date of individual scientists’ future papers
Fresh teams are associated with original and multidisciplinary research
Bridging nestedness and economic complexity in multilayer world trade networks
Understanding the complexity of international trading is critical for a variety of issues ranging from quantifying the competitiveness of individual nations to forecasting the collective evolution of the world economy. Despite the significant progress made in this direction, the international trading system is mainly modeled with a single network in the previous works such as the monopartite product space network and the bipartite country-product…
Link prediction in growing networks with aging
The science of science
The science of science (SOS) is a rapidly developing field which aims to understand, quantify and predict scientific research and the resulting outcomes. The problem is essentially related to almost all scientific disciplines and thus has attracted attention of scholars from different backgrounds. Progress on SOS will lead to better solutions for many challenging issues, ranging from the selection of candidate faculty members by a university to t…
Carbon footprint accounting and dynamics and the driving forces of agricultural production in Zhejiang Province, China
Regularities in Human Actions
Regularities in Human Actions A Review of Bursts: The Hidden Pattern behind Everything We Do by Albert-László Barabási (Dutton, 2010). This is a joint review by two authors. Its first part was written by An ZENG who is a PhD student at Beijing Normal University and a researcher in network science. The second part was written by Bertrand ROEHNER who is a physics professor at the University of Paris and a visiting scholar in the Department of Syste…
Regularities in Human Actions
Regularities in Human Actions A Review of Bursts: The Hidden Pattern behind Everything We Do by Albert-László Barabási (Dutton, 2010). This is a joint review by two authors. Its first part was written by An ZENG who is a PhD student at Beijing Normal University and a researcher in network science. The second part was written by Bertrand ROEHNER who is a physics professor at the University of Paris and a visiting scholar in the Department of Syste…
Carbon footprint accounting and dynamics and the driving forces of agricultural production in Zhejiang Province, China
The science of science
The science of science (SOS) is a rapidly developing field which aims to understand, quantify and predict scientific research and the resulting outcomes. The problem is essentially related to almost all scientific disciplines and thus has attracted attention of scholars from different backgrounds. Progress on SOS will lead to better solutions for many challenging issues, ranging from the selection of candidate faculty members by a university to t…
Bridging nestedness and economic complexity in multilayer world trade networks
Understanding the complexity of international trading is critical for a variety of issues ranging from quantifying the competitiveness of individual nations to forecasting the collective evolution of the world economy. Despite the significant progress made in this direction, the international trading system is mainly modeled with a single network in the previous works such as the monopartite product space network and the bipartite country-product…
Link prediction in growing networks with aging
Fresh teams are associated with original and multidisciplinary research
Predicting the impact and publication date of individual scientists’ future papers
Enhancing the robustness of the disruption metric against noise
Evaluating scientists by citation and disruption of their representative works
Adaptive 3DCNN-Based Interpretable Ensemble Model for Early Diagnosis of Alzheimer’s Disease
Adaptive interpretable ensemble model based on three-dimensional Convolutional Neural Network (3DCNN) and Genetic Algorithm (GA), i.e., 3DCNN+EL+GA, was proposed to differentiate the subjects with Alzheimer's Disease (AD) or Mild Cognitive Impairment (MCI) and further identify the discriminative brain regions significantly contributing to the classifications in a data-driven way. Plus, the discriminative brain sub-regions at a voxel level were fu…
Academic mentees thrive in big groups, but survive in small groups
Computer Science (7 obras) · Complex Network Analysis Techniques (4 obras) · Data science (4 obras) · Artificial Intelligence (3 obras) · Economics (3 obras) · Engineering (3 obras) · Management science (3 obras) · Mathematics (3 obras) · Medicine (3 obras) · Psychology (3 obras)