《Computers & Chemical Engineering》雜志的最新年發文量為342篇。
這表明該刊在每年都會精選并發表一定數量的高質量文章，以保持其在工程：化工領域的學術影響力。
該刊聚焦于工程技術-工程：化工領域的前沿研究，致力于推動該領域新技術和新知識的傳播與應用。同時它積極鼓勵研究人員詳細發表其高質量的實驗研究和理論成果。
該刊的平均審稿周期約為 約4.0個月 。
Computers & Chemical Engineering 雜志發文統計
文章名稱引用次數
- Advances in surrogate based modeling, feasibility analysis, and optimization: A review58
- Deep convolutional neural network model based chemical process fault diagnosis57
- Machine learning: Overview of the recent progresses and implications for the process systems engineering field41
- Optimization under uncertainty in the era of big data and deep learning: When machine learning meets mathematical programming26
- Challenges in process optimization for new feedstocks and energy sources24
- Optimization and control of a thin film growth process: A hybrid first principles/artificial neural network based multiscale modelling approach22
- Advances and opportunities in machine learning for process data analytics21
- Deterministic global process optimization: Accurate (single-species) properties via artificial neural networks17
- Data-driven decision making under uncertainty integrating robust optimization with principal component analysis and kernel smoothing methods17
- Global optimization of grey-box computational systems using surrogate functions and application to highly constrained oil-field operations17
國家/地區發文量
- USA341
- CHINA MAINLAND149
- England120
- GERMANY (FED REP GER)103
- Canada88
- Brazil46
- South Korea44
- Spain42
- India40
- Norway39
