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Chengye Li

Wenzhou Medical University · CN
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Area of research
Artificial Intelligence · Computational Theory and Mathematics
Research interest
Research interests include Computer science, Benchmark (surveying), Mathematical optimization, Artificial intelligence, Chaotic, and Local optimum.
h-index
citations
1,508
works
14
NIH funding
primary concept
email

Recent publications

Tandem mass tag-based quantitative proteomics analysis reveals the new regulatory mechanism of progranulin in influenza virus infection
Frontiers in Microbiology 2023cited by 2position: middledoi
Multilevel threshold image segmentation with diffusion association slime mould algorithm and Renyi's entropy for chronic obstructive pulmonary disease
Computers in Biology and Medicine 2021cited by 128position: lastdoi
Orthogonal Nelder-Mead moth flame method for parameters identification of photovoltaic modules
Energy Conversion and Management 2020cited by 179position: lastdoi
Predicting Entrepreneurial Intention of Students: An Extreme Learning Machine With Gaussian Barebone Harris Hawks Optimizer
IEEE Access 2020cited by 143position: lastdoi
Evaluation of Sino Foreign Cooperative Education Project Using Orthogonal Sine Cosine Optimized Kernel Extreme Learning Machine
IEEE Access 2020cited by 86position: lastdoi
Predicting Green Consumption Behaviors of Students Using Efficient Firefly Grey Wolf-Assisted K-Nearest Neighbor Classifiers
IEEE Access 2020cited by 78position: lastdoi
Rationalized fruit fly optimization with sine cosine algorithm: A comprehensive analysis
Expert Systems with Applications 2020cited by 71position: lastdoi
Survival exploration strategies for Harris Hawks Optimizer
Expert Systems with Applications 2020cited by 66position: lastdoi
Predicting Cervical Hyperextension Injury: A Covariance Guided Sine Cosine Support Vector Machine
IEEE Access 2020cited by 52position: lastdoi
Chaos-assisted multi-population salp swarm algorithms: Framework and case studies
Expert Systems with Applications 2020cited by 37position: lastdoi
An efficient chaotic mutative moth-flame-inspired optimizer for global optimization tasks
Expert Systems with Applications 2019cited by 260position: lastdoi
Gaussian mutational chaotic fruit fly-built optimization and feature selection
Expert Systems with Applications 2019cited by 210position: lastdoi
Multi-strategy boosted mutative whale-inspired optimization approaches
Applied Mathematical Modelling 2019cited by 186position: lastdoi
Novel glucagon- and OXM-based peptides acting through glucagon and GLP-1 receptors with body weight reduction and anti-diabetic properties
Bioorganic Chemistry 2019cited by 10position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

Ali Asghar Heidari · National University of Singapore12 papers (2019–2021)Huiling Chen · Fudan University11 papers (2019–2021)Mingjing Wang · Tianjin University7 papers (2020–2020)Yueting Xu · South China Agricultural University4 papers (2019–2020)Xuehua Zhao · Jilin University3 papers (2019–2020)Yungang Luo · Jilin University2 papers (2020–2020)Jie Luo · Guangxi University2 papers (2019–2019)Pengjun Wang · Ningbo University2 papers (2020–2021) · 1 papers (2020–2020)Hamza Turabieh · University of Missouri1 papers (2021–2021)Aiju Lin · Wenzhou Medical University1 papers (2020–2020)Habes Alkhraisat · University of York1 papers (2020–2020) · 1 papers (2020–2020) · 1 papers (2020–2020)Yao Wang · Shenyang Agricultural University1 papers (2019–2019)Hao Chen · Nanjing University of Science and Technology1 papers (2020–2020)Xiang Zhang · University of Electronic Science and Technology of China1 papers (2019–2019) · 1 papers (2019–2019)Hongliang Zhang · Center for Cancer Research1 papers (2020–2020)Chunxia Liu · Kunming University of Science and Technology1 papers (2019–2019)
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