Chinese Science Bulletin

Submission Deadline ( Vol 70 , Issue 10 )

16 Oct 2025
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Publish On ( Vol 70 , Issue 10 )

31 Oct 2025

Chinese Science Bulletin

Chinese Science Bulletin (ISSN:0023-074X) and (E-ISSN:2095-9419) is a monthly peer-reviewed scopus indexed journal originally from 1963 to 1964, from 1980 to 1984, 1989, from 2015 to Present. The publisher of the journal is Editorial Office of Journal of Science China Press.The journal welcomes all kind of research/review/abstract papers regarding Multidisciplinary subjects.

Scopus Index(2025)

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Indexed By

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AIM AND SCOPE

Chinese Science Bulletin

1.Agricultural Science/Agricultural Engineering

2.Electrical Engineering and Telecommunication Section

3.Computer Science and Engineering

4.Civil and Architectural Engineering Section

5.Mechanical and Materials Engineering Section

6.Chemical Engineering Section

7.Food Engineering Section

8.Physics Section

9.Mathematics Section

10.Accounting and finance

11.Economics

12.Management

13.Social science

14.Earth science

15.Law

16.Linguistics

17.Biological science

18.Environmental science

19.Material science

20.zoology

21.Fishery and Science

22.Psychology

23.International Business

24.HRM

25.Marketing

26.History

27.Public health

28.Botany

ALL PUBLISH JOURNAL HERE

Chinese Science Bulletin

  • CSB-12-06-2024-1353

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  • Chinese Science Bulletin

Review of Phasor Estimation Algorithms for Phasor Measurement Units and Their Applications

The role of Phasor Measuring Units (PMUs) is becoming more and more important in modern power networks as dispersed generation and renewable energy sources are integrated. These units provide important insights into the changing energy distribution environment and are crucial instruments for assessing the Power systems' dynamic behavior. This makes the effective functioning of Phasor Measuring Units (PMUs) a crucial prerequisite. Optimal operation is not only necessary to guarantee the steadiness and dependability of the electrical network but is also instrumental in facilitating the seamless

  • CSB-08-06-2024-1348

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  • Chinese Science Bulletin

Short-term electrical load forecasting using artificial neural networks

Planning, operating, and controlling the electric power system presents both technical and financial challenges for the electric power company. A proper assessment of the current and future electric loads is also necessary for the development and operation of an electric power system, where electric load forecasting is utilized to estimate the energy required to meet the demand. Many methods were used to anticipate short-term electrical loads, but they had drawbacks, such as the inability to handle non-linear data. Therefore, another method for anticipating short-term loads is prepared in this

  • CSB-08-06-2024-1347

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  • Chinese Science Bulletin

FLY ASH'S EFFECT ON CEMENTITIOUS COMPOSITES MANUFACTURED WITH RECYCLING CEMENT'S GEOTECHNICAL EFFICIENCY

The use of concrete as a construction material has become increasingly popular due to its high compressive strength and durability. It is possible to reduce the workability of a regular mortar by approximately four percent by adding up to ten percent recycled concrete powder (RC). This is due to the fact that the larger porosity of the adhering mortar with RC material makes water more necessary. The addition of fly ash (FA) and RC to the mixture has the potential to boost the workability of the mortars by as much as 11.8% respectively. This strategy makes it much simpler to cut down on the inc

  • CSB-07-06-2024-1346

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  • Chinese Science Bulletin

EFFICIENT SPEECH EMOTION RECOGNITION USING LIGHTWEIGHT CNN-LSTM FUSION

Speech Emotion Recognition (SER) uses AI to understand human emotions from audio signals. These signals contain different kinds of information, like how we say things. We can break down this info into parts like continuous features, quality features, spectral features, and TEO-based features. Picking out the right features from the audio is super important in SER to get emotions right. Lots of research on SER uses spectral features like MFCCs because they’re good at catching the patterns in audio. Our study mixes continuous and spectral features to make SER systems work better. We put these

  • CSB-05-06-2024-1345

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  • Chinese Science Bulletin

Optimizing Power Grids with Wind and FACTS Devices using Multi-objective Exponential Distribution Optimizer for Enhanced System Performance

This research introduces the Multi-objective Exponential Distribution Optimizer (MOEDO), a novel algorithm tailored to solve complex optimization challenges in power grid management, focusing on Optimal Power Flow (OPF) problems. MOEDO enhances the basic Exponential Distribution Optimizer by incorporating advanced techniques such as non-dominated sorting and crowding distance, alongside an Information Feedback Mechanism (IFM). This integration aims to optimize the efficiency of power systems by reducing fuel consumption and better integrating renewable energy sources within an IEEE-30 bus fram

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