Gang Kou
Accounting · 2008–2021
A researcher in the Science corpus: 17 papers; trusts 41 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Accounting — 108 citations into it
- Management Science and Operations Research — 105 citations into it; #11,588 of 11,946 by trust here, #1,959 by citations
- Finance — 90 citations into it
- Artificial Intelligence — 86 citations into it; #29,552 of 35,345 by trust here, #12,761 by citations
- Economics and Econometrics — 70 citations into it
- Information Systems — 36 citations into it
- Statistical and Nonlinear Physics — 35 citations into it
- Computational Theory and Mathematics — 34 citations into it
Whom Gang Kou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David L. Olson
- A. Culyer
- Thomas L. Saaty
- Ramakrishnan Ramanathan
- Lior Rokach
- Eibe Frank
- Jiawei Han
- Amine Abou-Rjeili
- Enrique Herrera-Viedma
- Jian Wu
Who trusts Gang Kou overall
- Simplice A. Asongu
- Edmundas Kazimieras Zavadskas
- Dragisa Stanujkic
- Mayra Zegarra Rodriguez
- Nicholas M. Odhiambo
- Sheng-Li Si
- Huanhuan Zhang
- Fan Fang
- William Ho
- Yi Peng
Papers from Gang Kou's perspective
Ordered by how strongly the researchers Gang Kou trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- Algorithms for Clustering Data
- Gradient-based learning applied to document recognition
- ImageNet classification with deep convolutional neural networks
- Social Network Analysis: Methods and Applications
- Learning Multiple Layers of Features from Tiny Images
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
Their papers
- IT capabilities and product innovation performance: The roles of corporate entrepreneurship and competitive intensity (2015) — 342 citations
- Pairwise comparison matrix in multiple criteria decision making (2016) — 405 citations
- A cosine maximization method for the priority vector derivation in AHP (2014) — 318 citations
- A Descriptive Framework for the Field of Data Mining and Knowledge Discovery (2008) — 358 citations
- A survey on the fusion process in opinion dynamics (2018) — 360 citations
- Fintech investments in European banks: a hybrid IT2 fuzzy multidimensional decision-making approach (2021) — 313 citations
- Innovation quantity or quality? The role of political connections (2021) — 124 citations
- Bankruptcy prediction for SMEs using transactional data and two-stage multiobjective feature selection (2021) — 320 citations
- Evaluation of feature selection methods for text classification with small datasets using multiple criteria decision-making methods (2020) — 298 citations
- An overview on feedback mechanisms with minimum adjustment or cost in consensus reaching in group decision making: Research paradigms and challenges (2020) — 304 citations
- A review on trust propagation and opinion dynamics in social networks and group decision making frameworks (2019) — 380 citations
- Soft consensus cost models for group decision making and economic interpretations (2019) — 313 citations
- Retail investor attention and stock price crash risk: Evidence from China (2019) — 361 citations
- Consensus reaching in social network group decision making: Research paradigms and challenges (2018) — 504 citations
- Evaluation of clustering algorithms for financial risk analysis using MCDM methods (2014) — 708 citations
- Evaluation of Classification Algorithms Using MCDM and Rank Correlation (2012) — 514 citations
- Optimization Based Data Mining: Theory and Applications (2011) — 310 citations