World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
5743
World Ranking
8521
National Ranking
1113

Overview

Zhiqiang Geng is affiliated with Beijing University of Chemical Technology in China. Their research spans multiple fields primarily related to engineering and computer science, with significant contributions in control and systems engineering, artificial intelligence, and electrical and electronic engineering.

The scientist's work focuses on topics including:

  • Fault Detection and Control Systems
  • Energy Load and Power Forecasting
  • Spectroscopy and Chemometric Analyses
  • Neural Networks and Applications
  • Process Optimization and Integration
  • Machine Learning and ELM
  • Mineral Processing and Grinding

Zhiqiang Geng has published extensively, with a considerable number of papers appearing in journals such as Energy, SSRN Electronic Journal, IEEE Transactions on Industrial Informatics, Expert Systems with Applications, and Journal of Cleaner Production.

Recent notable papers include:

  • "Novel Transformer Based on Gated Convolutional Neural Network for Dynamic Soft Sensor Modeling of Industrial Processes," 2021, IEEE Transactions on Industrial Informatics
  • "Novel leakage detection and water loss management of urban water supply network using multiscale neural networks," 2020, Journal of Cleaner Production
  • "Short-Time Wavelet Entropy Integrating Improved LSTM for Fault Diagnosis of Modular Multilevel Converter," 2021, IEEE Transactions on Cybernetics
  • "Economy and carbon dioxide emissions effects of energy structures in the world: Evidence based on SBM-DEA model," 2020, The Science of The Total Environment
  • "An optimized long short-term memory network based fault diagnosis model for chemical processes," 2020, Journal of Process Control

The scientist frequently collaborates with other researchers, including Yongming Han, Xuan Hu, Jinzhen Fan, Chong Chu, and Mingfei Feng.

Additional contributions include a book published by Frontiers Media titled Energy Efficiency Analysis and Intelligent Optimization of Process Industry, released in 2023.

Best Publications

  • Review: Multi-objective optimization methods and application in energy saving

    Yunfei Cui;Yunfei Cui;Zhiqiang Geng;Zhiqiang Geng;Qunxiong Zhu;Qunxiong Zhu;Yongming Han;Yongming Han

  • Semantic relation extraction using sequential and tree-structured LSTM with attention

    ZhiQiang Geng;ZhiQiang Geng;GuoFei Chen;GuoFei Chen;YongMing Han;YongMing Han;Gang Lu;Gang Lu

  • Novel Transformer based on Gated Convolutional Neural Network for Dynamic Soft Sensor Modeling of Industrial Processes

    Zhiqiang Geng;Zhiwei Chen;Qingchao Meng;Yongming Han

  • Novel leakage detection and water loss management of urban water supply network using multiscale neural networks

    Xuan Hu;Xuan Hu;Yongming Han;Yongming Han;Bin Yu;Zhiqiang Geng;Zhiqiang Geng

  • Energy efficiency analysis method based on fuzzy DEA cross-model for ethylene production systems in chemical industry

    Yongming Han;Yongming Han;Zhiqiang Geng;Zhiqiang Geng;Qunxiong Zhu;Qunxiong Zhu;Yixin Qu

  • Short-Time Wavelet Entropy Integrating Improved LSTM for Fault Diagnosis of Modular Multilevel Converter

    Yongming Han;Wang Qi;Ning Ding;Zhiqiang Geng

  • Carbon emission analysis and evaluation of industrial departments in China: An improved environmental DEA cross model based on information entropy.

    Yongming Han;Chang Long;Zhiqiang Geng;Zhiqiang Geng;Keyu Zhang

  • Energy optimization and prediction modeling of petrochemical industries: An improved convolutional neural network based on cross-feature

    Zhiqiang Geng;Zhiqiang Geng;Yanhui Zhang;Yanhui Zhang;Chengfei Li;Yongming Han;Yongming Han

  • A novel data envelopment analysis cross-model integrating interpretative structural model and analytic hierarchy process for energy efficiency evaluation and optimization modeling: Application to ethylene industries

    Yongming Han;Yongming Han;Rundong Zhou;Rundong Zhou;Zhiqiang Geng;Zhiqiang Geng;Ju Bai;Ju Bai

  • An optimized long short-term memory network based fault diagnosis model for chemical processes

    Yongming Han;Yongming Han;Ning Ding;Ning Ding;Zhiqiang Geng;Zhiqiang Geng;Zun Wang;Zun Wang

  • Joint entity and relation extraction model based on rich semantics

    Zhiqiang Geng;Zhiqiang Geng;Yanhui Zhang;Yanhui Zhang;Yongming Han;Yongming Han

  • Data driven soft sensor development for complex chemical processes using extreme learning machine

    Yan-Lin He;Yan-Lin He;Zhi-Qiang Geng;Zhi-Qiang Geng;Qun-Xiong Zhu;Qun-Xiong Zhu

  • Energy efficiency evaluation and energy saving based on DEA integrated affinity propagation clustering: Case study of complex petrochemical industries

    Zhiqiang Geng;Zhiqiang Geng;Rongfu Zeng;Rongfu Zeng;Yongming Han;Yongming Han;Yanhua Zhong

  • Energy saving and prediction modeling of petrochemical industries: A novel ELM based on FAHP

    ZhiQiang Geng;ZhiQiang Geng;Lin Qin;Lin Qin;YongMing Han;YongMing Han;QunXiong Zhu;QunXiong Zhu

  • Energy and environment efficiency analysis based on an improved environment DEA cross-model: Case study of complex chemical processes

    ZhiQiang Geng;ZhiQiang Geng;JunGen Dong;JunGen Dong;YongMing Han;YongMing Han;QunXiong Zhu;QunXiong Zhu

  • Early warning modeling and analysis based on analytic hierarchy process integrated extreme learning machine (AHP-ELM): Application to food safety

    ZhiQiang Geng;ZhiQiang Geng;ShanShan Zhao;ShanShan Zhao;GuangCan Tao;YongMing Han;YongMing Han

  • Multiscale Nonlinear Principal Component Analysis (NLPCA) and Its Application for Chemical Process Monitoring

    Zhiqiang Geng;Qunxiong Zhu

  • Economy and carbon emissions optimization of different countries or areas in the world using an improved Attention mechanism based long short term memory neural network.

    Xiaoyong Lin;Xiaoyong Lin;Xiaopeng Zhu;Xiaopeng Zhu;Mingfei Feng;Yongming Han;Yongming Han

  • Multi-objective Particle Swarm Optimization Hybrid Algorithm: An Application on Industrial Cracking Furnace

    Chengfei Li;Qunxiong Zhu;Zhiqiang Geng

  • Production capacity analysis and energy saving of complex chemical processes using LSTM based on attention mechanism

    Yongming Han;Yongming Han;Chenyu Fan;Chenyu Fan;Meng Xu;Meng Xu;Zhiqiang Geng;Zhiqiang Geng

  • Intelligent Small Sample Defect Detection of Water Walls in Power Plants Using Novel Deep Learning Integrating Deep Convolutional GAN

    Unknown

  • Rough set-based heuristic hybrid recognizer and its application in fault diagnosis

    Zhiqiang Geng;Qunxiong Zhu

  • Energy optimization and prediction of complex petrochemical industries using an improved artificial neural network approach integrating data envelopment analysis

    Yong-Ming Han;Yong-Ming Han;Zhi-Qiang Geng;Zhi-Qiang Geng;Qun-Xiong Zhu;Qun-Xiong Zhu

Frequent Co-Authors

Qunxiong Zhu
Qunxiong Zhu Beijing University of Chemical Technology
Nael H. El-Farra
Nael H. El-Farra University of California, Davis
Tingrui Pan
Tingrui Pan University of California, Davis

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