World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
46
Citations
10991
World Ranking
5063
National Ranking
985

Overview

Huanxin Chen is affiliated with Huazhong University of Science and Technology in China, engaging in interdisciplinary research across medicine, biochemistry, genetics, molecular biology, and engineering. Their work spans multiple subfields including molecular biology, cardiology and cardiovascular medicine, epidemiology, surgery, and cellular and molecular neuroscience.

The scientist's research covers a variety of topics such as congenital heart defects research, congenital heart disease studies, refrigeration and air conditioning technologies, building energy and comfort optimization, atrial fibrillation management and outcomes, neuroscience and neuropharmacology research, and RNA modifications and cancer. This breadth reflects a cross-disciplinary approach that links biomedical sciences with engineering and environmental concerns.

Among recent publications, several papers highlight the diversity of their research:

  • Physicochemical properties and digestion mechanism of starch-linoleic acid complex induced by multi-frequency power ultrasound (2021) in Food Chemistry
  • Ensemble 1-D CNN diagnosis model for VRF system refrigerant charge faults under heating condition (2020) in Energy and Buildings
  • Insights into ultrasonic treatment on the properties of pullulan/oat protein/nisin composite film: mechanical, structural and physicochemical properties (2022) in Food Chemistry
  • The co-benefits of clean air and low-carbon policies on heavy metal emission reductions from coal-fired power plants in China (2022) in Resources Conservation and Recycling
  • Effect of early life stress on anxiety and depressive behaviors in adolescent mice (2020) in Brain and Behavior

Huanxin Chen collaborates frequently with several researchers, notably Guo-Wei He, Qin Yang, Hai-Tao Hou, Hongmei Xue, and Wentao Sun. These collaborations likely contribute to the interdisciplinary nature of the scientist's projects and publications.

The publication record shows repeated contributions to journals such as The FASEB Journal, Energy and Buildings, Journal of Building Engineering, Biomolecules, and the Asian Journal of Psychiatry. The range of these venues reflects a focus on biomedical sciences, environmental engineering, and applied energy research.

Best Publications

  • The Genome Sequence Archive Family: Toward Explosive Data Growth and Diverse Data Types.

    Tingting Chen;Xu Chen;Sisi Zhang;Junwei Zhu

  • Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities

    Tanveer Ahmad;Tanveer Ahmad;Dongdong Zhang;Chao Huang;Chao Huang;Hongcai Zhang

  • GSA: Genome Sequence Archive

    Yanqing Wang;Fuhai Song;Junwei Zhu;Sisi Zhang

  • A comprehensive overview on the data driven and large scale based approaches for forecasting of building energy demand: A review

    Tanveer Ahmad;Huanxin Chen;Yabin Guo;Jiangyu Wang

  • Study on deep reinforcement learning techniques for building energy consumption forecasting

    Tao Liu;Zehan Tan;Chengliang Xu;Huanxin Chen

  • Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2025

    Unknown

  • Machine learning-based thermal response time ahead energy demand prediction for building heating systems

    Yabin Guo;Jiangyu Wang;Huanxin Chen;Guannan Li

  • Database Resources of the BIG Data Center in 2018

    Xingjian Xu;Lili Hao;Junwei Zhu

  • A review on machine learning forecasting growth trends and their real-time applications in different energy systems

    Tanveer Ahmad;Tanveer Ahmad;Huanxin Chen

  • Deep learning-based fault diagnosis of variable refrigerant flow air-conditioning system for building energy saving

    Yabin Guo;Zehan Tan;Huanxin Chen;Guannan Li

  • Nonlinear autoregressive and random forest approaches to forecasting electricity load for utility energy management systems

    Tanveer Ahmad;Huanxin Chen

  • Short and medium-term forecasting of cooling and heating load demand in building environment with data-mining based approaches

    Tanveer Ahmad;Huanxin Chen

  • Improving prediction performance for indoor temperature in public buildings based on a novel deep learning method

    Chengliang Xu;Huanxin Chen;Jiangyu Wang;Yabin Guo

  • Investigation of a novel thermoelectric radiant air-conditioning system

    Limei Shen;Limei Shen;F u Xiao;Huanxin Chen;Shengwei Wang

  • Review of various modeling techniques for the detection of electricity theft in smart grid environment

    Tanveer Ahmad;Huanxin Chen;Jiangyu Wang;Yabin Guo

  • An improved fault detection method for incipient centrifugal chiller faults using the PCA-R-SVDD algorithm

    Guannan Li;Yunpeng Hu;Huanxin Chen;Limei Shen

  • Supervised based machine learning models for short, medium and long-term energy prediction in distinct building environment

    Tanveer Ahmad;Huanxin Chen;Ronggeng Huang;Guo Yabin

  • Environmental sustainability of wind power: An emergy analysis of a Chinese wind farm

    Q. Yang;G.Q. Chen;G.Q. Chen;S. Liao;Y.H. Zhao

  • Data partitioning and association mining for identifying VRF energy consumption patterns under various part loads and refrigerant charge conditions

    Guannan Li;Yunpeng Hu;Huanxin Chen;Haorong Li

  • A novel efficient SVM-based fault diagnosis method for multi-split air conditioning system's refrigerant charge fault amount

    Kaizheng Sun;Guannan Li;Huanxin Chen;Jiangyan Liu

  • Potential of three variant machine-learning models for forecasting district level medium-term and long-term energy demand in smart grid environment

    Tanveer Ahmad;Huanxin Chen

  • Chiller sensor fault detection using a self-Adaptive Principal Component Analysis method

    Yunpeng Hu;Huanxin Chen;Junlong Xie;Xiaoshuang Yang

  • The optimization design and parametric study of thermoelectric radiant cooling and heating panel

    Limei Shen;Zhilong Tu;Qiang Hu;Cheng Tao

  • A novel deep reinforcement learning based methodology for short-term HVAC system energy consumption prediction

    Tao Liu;Chengliang Xu;Yabin Guo;Huanxin Chen

  • A statistical training data cleaning strategy for the PCA-based chiller sensor fault detection, diagnosis and data reconstruction method

    Yunpeng Hu;Huanxin Chen;Guannan Li;Haorong Li

  • Numerical and experimental analysis of transient supercooling effect of voltage pulse on thermoelectric element

    L. M. Shen;L. M. Shen;Fu Xiao;H. X. Chen;Shengwei Wang

Frequent Co-Authors

Fu Xiao
Fu Xiao Hong Kong Polytechnic University
Shengwei Wang
Shengwei Wang Hong Kong Polytechnic University
Yonghua Song
Yonghua Song University of Macau
Yongjun Sun
Yongjun Sun City University of Hong Kong

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