Leaderboards/Advanced Decision-Making Techniques

Advanced Decision-Making Techniques

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Jiawan Liu
University of Shanghai for Science and Technology
2
Jicun Jiang
Nanjing University of Aeronautics and Astronautics
3
Chenyi Ji
Zhejiang University
4
Md Nasim Khan
University of Wyoming
5
Shen Yan
Chengdu University of Information Technology
6
Hongyu Chen
Fuzhou University
7
Cheng Xiangjun
Beijing Jiaotong University
8
Luttfi A. Al-Haddad
University of Technology - Iraq
9
Zitong Yang
Hunan Institute of Science and Technology
10
Junwei Hu
Hengyang Normal University

Rising Stars Papers

1
Few-Shot Class-Incremental Learning for System-Level Fault Diagnosis of Wind Turbine
IEEE/ASME Transactions on Mechatronics|2024
69 cit.
2
Cross-domain few-shot fault diagnosis based on meta-learning and domain adversarial graph convolutional network
Engineering Applications of Artificial Intelligence|2024
56 cit.
3
Thermal heat flux distribution prediction in an electrical vehicle battery cell using finite element analysis and neural network
Green Energy and Intelligent Transportation|2024
53 cit.
4
Predicting pedestrian-involved crash severity using inception-v3 deep learning model
Accident Analysis & Prevention|2024
52 cit.
5
Large group decision-making with a rough integrated asymmetric cloud model under multi-granularity linguistic environment
Information Sciences|2024
52 cit.
6
Optimized green infrastructure planning at the city scale based on an interpretable machine learning model and multi-objective optimization algorithm: A case study of central Beijing, China
Landscape and Urban Planning|2024
40 cit.
7
Efficient multidisciplinary modeling of aircraft undercarriage landing gear using data-driven Naïve Bayes and finite element analysis
Multiscale and Multidisciplinary Modeling Experiments and Design|2024
39 cit.
8
UAV propeller fault diagnosis using deep learning of non-traditional χ2-selected Taguchi method-tested Lempel–Ziv complexity and Teager–Kaiser energy features
Scientific Reports|2024
34 cit.
9
Dynamic prediction and optimization of tunneling parameters with high reliability based on a hybrid intelligent algorithm
Information Fusion|2024
34 cit.
10
Enhancing the performance of recycled aggregate green concrete via a Bayesian optimization light gradient boosting machine and the nondominated sorting genetic algorithm-III
Construction and Building Materials|2024
34 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Mingyang Wu
Harbin Institute of Technology
2
Sha Lou
Harbin University of Commerce
3
Peijie Lin
Fuzhou University
4
Qianying Zheng
Fujian Medical University
5
Zongzhen Zhang
Shandong University of Science and Technology
6
Shanshan Ji
Tangshan Gongren Hospital
7
Xiaoli Tian
Sichuan University
8
Yuzhuo Zhang
Shenyang Jianzhu University
9
Xudong Chen
Jilin Electric Power Research Institute (China)
10
Xiaokun Sun
North China Electric Power University

Emerging Leaders Papers

1
Digital twin aided adversarial transfer learning method for domain adaptation fault diagnosis
Reliability Engineering & System Safety|2023
164 cit.
2
SF-GRA method based on cumulative prospect theory for multiple attribute group decision making and its application to emergency supplies supplier selection
Engineering Applications of Artificial Intelligence|2022
147 cit.
3
Fast nonlinear blind deconvolution for rotating machinery fault diagnosis
Mechanical Systems and Signal Processing|2022
97 cit.
4
Spherical fuzzy Dombi power Heronian mean aggregation operators for multiple attribute group decision-making
Computational and Applied Mathematics|2022
80 cit.
5
Crosslinking-induced patterning of MOFs by direct photo- and electron-beam lithography
Nature Communications|2024
72 cit.
6
What influences urban residents’ intention to sort waste?: Introducing Taoist cultural values into TPB
Journal of Cleaner Production|2022
65 cit.
7
Probabilistic Uncertain Linguistic EDAS Method Based on Prospect Theory for Multiple Attribute Group Decision-Making and Its Application to Green Finance
International Journal of Fuzzy Systems|2022
56 cit.
8
UWB LOS/NLOS identification in multiple indoor environments using deep learning methods
Physical Communication|2022
54 cit.
9
An extended EDAS approach based on cumulative prospect theory for multiple attributes group decision making with probabilistic hesitant fuzzy information
Artificial Intelligence Review|2022
49 cit.
10
Partial Domain Adaptation Method Based on Class-Weighted Alignment for Fault Diagnosis of Rotating Machinery
IEEE Transactions on Instrumentation and Measurement|2022
48 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Kenneth D. West
National Bureau of Economic Research
2
Deyi Li
China United Network Communications Group (China)
3
Ashraf Labib
University of Portsmouth
4
Yong Deng
Stanford University
5
Junwen Feng
Nanjing University of Science and Technology
6
Wenyan Gan
Tsinghua University
7
Yi Peng
Chengdu Second People's Hospital
8
Guotao Wang
Hefei University of Technology
9
Xiaowen Liang
Southern University of Science and Technology
10
Jian Chen
China University of Geosciences

Current Senior Leaders Papers

1
A Simple, Positive Semi-Definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix
Econometrica|1987
17.1k cit.
2
Automatic Lag Selection in Covariance Matrix Estimation
The Review of Economic Studies|1994
3.3k cit.
3
Approximately normal tests for equal predictive accuracy in nested models
Journal of Econometrics|2006
2.4k cit.
4
Hypothesis Testing with Efficient Method of Moments Estimation
International Economic Review|1987
1.9k cit.
5
Review of the main developments in the analytic hierarchy process
Expert Systems with Applications|2011
1.2k cit.
6
Geomatics and Information Science of Wuhan University
武汉大学学报 ● 信息科学版|2006
1k cit.
7
Exchange Rates and Fundamentals
Journal of Political Economy|2005
770 cit.
8
Development and Application of Artificial Neural Network
Wireless Personal Communications|2017
759 cit.
9
A new cognitive model: Cloud model
International Journal of Intelligent Systems|2009
731 cit.
10
Analytic Hierarchy Process and Expert Choice: Benefits and limitations
OR Insight|2009
599 cit.

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