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Xiao‐Jun Zeng · Study

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Xiao‐Jun Zeng

21 works· latest 2023· 1 institutionscluster: provisionalORCID 0000-0002-2320-2495

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Citations8,491

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Most cited in this library

Twitter mood predicts the stock market2011 · 5,204 citations
A Bibliometric Analysis and Visualization of Medical Big Data Research2018 · 665 citations
Distance and similarity measures for hesitant fuzzy linguistic term sets and their application in multi-criteria decision making2014 · 577 citations
Qualitative decision making with correlation coefficients of hesitant fuzzy linguistic term sets2014 · 418 citations
Hesitant Fuzzy Linguistic VIKOR Method and Its Application in Qualitative Multiple Criteria Decision Making2014 · 405 citations

Works

21 shown

SimVGNets: Similarity-Based Visibility Graph Networks for Carbon Price Forecasting

Expert Systems with Applications·2023·2 authors·Open access

44citations

An ensemble dynamic self-learning model for multiscale carbon price forecasting

Energy·2022·4 authors·Open access

61citations

Data-driven modeling of technology acceptance: A machine learning perspective

Expert Systems with Applications·2021·2 authors·Open access

49citations

Satisfaction-driven consensus model for social network MCGDM with incomplete information under probabilistic linguistic trust

Computers & Industrial Engineering·2021·3 authors

45citations

An agglomerative hierarchical clustering algorithm for linear ordinal rankings

Information Sciences·2021·4 authors

49citations

Hesitancy degree-based correlation measures for hesitant fuzzy linguistic term sets and their applications in multiple criteria decision making

Information Sciences·

2019

·5 authors

76citations

Comparing Technical and Fundamental Indicators in Stock Price Forecasting

IEEE International Conference on High Performance Computing and Communications; IEEE International Conference on Smart City; IEEE International Conference on Data Science and Systems (HPCC/SmartCity/DSS)·2018·4 authors·other

48citations

Modeling complex linguistic expressions in qualitative decision making: An overview

Knowledge-Based Systems·2018·3 authors·Open access

73citations

A Bibliometric Analysis and Visualization of Medical Big Data Research

Sustainability·2018·6 authors·Open access

665citations

Linguistic terms with weakened hedges: A model for qualitative decision making under uncertainty

Information Sciences·2017·2 authors·Open access

53citations

Hesitant fuzzy linguistic term sets for linguistic decision making: Current developments, issues and challenges

Information Fusion·2017·3 authors·Open access

124citations

A thermodynamic method of intuitionistic fuzzy MCDM to assist the hierarchical medical system in China

Information Sciences·2017·4 authors·Open access

60citations

A Comparison of Distinct Consensus Measures for Group Decision Making with Intuitionistic Fuzzy Preference Relations

International Journal of Computational Intelligence Systems·2016·4 authors·Open access

47citations

An enhanced consensus reaching process in group decision making with intuitionistic fuzzy preference relations

Information Sciences·2015·4 authors

123citations

Novel correlation coefficients between hesitant fuzzy sets and their application in decision making

Knowledge-Based Systems·2015·3 authors

180citations

Qualitative decision making with correlation coefficients of hesitant fuzzy linguistic term sets

Knowledge-Based Systems·2014·4 authors·Open access

418citations

Hesitant Fuzzy Linguistic VIKOR Method and Its Application in Qualitative Multiple Criteria Decision Making

IEEE Transactions on Fuzzy Systems·2014·3 authors

405citations

Framework of Group Decision Making With Intuitionistic Fuzzy Preference Information

IEEE Transactions on Fuzzy Systems·2014·4 authors

126citations

Distance and similarity measures for hesitant fuzzy linguistic term sets and their application in multi-criteria decision making

Information Sciences·2014·3 authors

577citations

Twitter mood predicts the stock market

Journal of Computational Science·2011·3 authors·Open access

5,204citations

Machine learning approach for crude oil price prediction with Artificial Neural Networks-Quantitative (ANN-Q) model

International Joint Conference on Neural Networks (IJCNN)·2010·2 authors·other

64citations