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CSEE Journal of Power and Energy Systems
H-index 28

CSEE Journal of Power and Energy Systems

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Electronics and Electrical Engineering 137 108 169 25
Engineering and Technology 482 37 58 17

Additional Metrics

Number of Best Scientists*: 169
Documents by Best Scientists*: 216
Top 100 Ranked Scientists*: 4
SCIMAGO H-index: 47
SCIMAGO SJR: 2.265
Impact Factor: 5.9

Overview

Top Research Topics at CSEE Journal of Power and Energy Systems?

The main points discussed in the journal deals with Electric power system, Control theory, Renewable energy, Voltage and Wind power. The studies in Electric power system featured incorporate elements of Reliability engineering, Control engineering, Grid, Control (management) and Mathematical optimization. It holds forums on Control theory that merges themes from other disciplines such as Fault (power engineering), Voltage droop, AC power and Transient (oscillation).

In it, Automotive engineering, Photovoltaic system, Electricity and Energy storage are investigated in conjunction with one another to address concerns in Renewable energy research. Maximum power principle is a major topic of Photovoltaic system research presented in the journal. Research in the field of Electrical engineering was used to conduct the presented Voltage study.

It connects research in Converters with the related topic of Electronic engineering.

  • Electric power system (26.34%)
  • Control theory (22.36%)
  • Renewable energy (15.42%)

What are the most cited papers published in the journal?

  • Photovoltaic and solar power forecasting for smart grid energy management (271 citations)
  • Protection challenges under bulk penetration of renewable energy resources in power systems: A review (160 citations)
  • Review on the research and practice of deep learning and reinforcement learning in smart grids (160 citations)

Research areas of the most cited articles at CSEE Journal of Power and Energy Systems:

Renewable energy, Electric power system, Reliability engineering, Grid and Electrical engineering are the main subjects of interest in the journal papers. Issues in Renewable energy were discussed in the journal articles, taking into consideration concepts from other disciplines like Electricity, Relay, Power transmission, Energy storage and Environmental economics. The journal articles tackle research in various disciplines, including Electric power system and Term (time).

What topics the last edition of the journal is best known for?

  • Electrical engineering
  • Artificial intelligence
  • Operating system

The previous edition focused in particular on these issues:

Control theory, Renewable energy, Electric power system, Fault (power engineering) and Mathematical optimization are among the topics commonly tackled in the journal. Some problems in Control theory that were presented in it overlapped with concepts under Grid, Inverter and Transient (oscillation). The research on Renewable energy tackled can also make contributions to studies in the areas of Environmental economics, Electricity, Time horizon and Smart grid.

The studies on Electric power system discussed can also contribute to research in the domains of Stability (learning theory), Data-driven, Reliability engineering, Control (management) and AC power. While Fault (power engineering) is the focus of CSEE Journal of Power and Energy Systems, it also provided insights into the studies of Distribution transformer and Noise (signal processing). CSEE Journal of Power and Energy Systems tackles studies in Bidding and the interrelated subject of Adaptive learning to gain insights into Mathematical optimization.

The most cited articles from the last journal are:

  • A novel concept of SMES-based interline DC dynamic voltage restorer (8 citations)
  • Fault diagnosis of power transformers using graph convolutional network (5 citations)
  • Information entropy based prioritization strategy for data-driven transient stability batch assessment (1 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing in CSEE Journal of Power and Energy Systems (based on the number of publications) are:

  • Hongbin Sun (13 papers) published 2 papers at the last edition, 4 less than at the previous edition,
  • Qinghua Wu (11 papers) published 2 papers at the last edition, 3 less than at the previous edition,
  • Xiang Cui (10 papers) absent at the last edition,
  • Xiaoxin Zhou (9 papers) absent at the last edition,
  • Qinglai Guo (9 papers) absent at the last edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing in CSEE Journal of Power and Energy Systems (based on the number of publications) are:

  • Electric Power Research Institute (101 papers) published 10 papers at the last edition, 18 less than at the previous edition,
  • North China Electric Power University (67 papers) published 4 papers at the last edition, 17 less than at the previous edition,
  • Tsinghua University (63 papers) published 3 papers at the last edition, 22 less than at the previous edition,
  • South China University of Technology (28 papers) published 3 papers at the last edition, 7 less than at the previous edition,
  • State Grid Corporation of China (24 papers) published 1 paper at the last edition, 2 less than at the previous edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 24.07% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 53.66% were posted by at least one author from the top 10 institutions publishing in the journal. Another 19.51% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 9.76% of all publications and 17.07% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Top Publications

  • Modeling and stability issues of voltage-source converter dominated power systems: A review

    Liansong Xiong;Xiaokang Liu;Yonghui Liu;Fang Zhuo

    (2020)
    205 Citations
  • Deep learning in power systems research: A review

    Mahdi Khodayar;Guangyi Liu;Jianhui Wang;Mohammad E. Khodayar

    (2020)
    171 Citations
  • Implications of COVID-19 for the Electricity Industry: A Comprehensive Review

    Haiwang Zhong;Zhenfei Tan;Yiliu He;Le Xie

    (2020)
    170 Citations
  • Optimization strategy based on deep reinforcement learning for home energy management

    Yuankun Liu;Dongxia Zhang;Hoay Beng Gooi

    (2020)
    145 Citations
  • Power electronics-the enabling technology for renewable energy integration

    Zhongting Tang;Yongheng Yang;Frede Blaabjerg

    (2021)
    118 Citations
  • Comprehensive overview of multi-agent systems for controlling smart grids

    Om Prakash Mahela;Mahdi Khosravy;Neeraj Gupta;Baseem Khan

    (2020)
    108 Citations
  • Energy management and optimization of vehicle-to-grid systems for wind power integration

    Wei Wang;Liu Liu;Jizhen Liu;Zhe Chen

    (2020)
    70 Citations
  • Model predictive control based real-time energy management for hybrid energy storage system

    Huan Chen;Rui Xiong;Cheng Lin;Weixiang Shen

    (2020)
    68 Citations
  • Recent progress and future trends on state of charge estimation methods to improve battery-storage efficiency: A review

    Ohirul Qays;Yonis Buswig;Liton Hossain;Ahmed Abu-Siada

    (2020)
    66 Citations
  • State evaluation based-feature identification of measurement data for resilient power system

    (2021)
    57 Citations

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Best Scientists Contributing to This Journal