Feifei Bai

1.6k citations
74 papers · 1.1k · h-index 18

Impact in

Papers in

Feifei Bai

64 papers receiving 1.1k citations

Peers

Feifei Bai
Comparison fields: 5 of 68
  • Energy Engineering and Power Technology 96
  • Control and Systems Engineering 634
  • Electrical and Electronic Engineering 909
  • Safety, Risk, Reliability and Quality 80
  • Automotive Engineering 64
Replace Kamiar Karimi with:
Kamiar Karimi United States
Dichen Liu China
Koji Yamashita Japan
Sang-Bong Rhee South Korea
Georgios Fotis Greece
Fang Zhang China
Ali Abbaspour Iran
Ping Yang China
Gan Zhou China
Feifei Bai relative to Kamiar Karimi United States Kamiar Karimi's profile →
Citations per field
00.5×6.4×
Kamiar Karimi · 1×
Citations per year

Countries citing papers authored by Feifei Bai

Since Specialization
Citations

This map shows the geographic impact of Feifei Bai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Feifei Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feifei Bai more than expected).

Fields of papers citing papers by Feifei Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Feifei Bai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Feifei Bai. The network helps show where Feifei Bai may publish in the future.

Co-authors

The 25 scholars most cited alongside Feifei Bai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Feifei Bai Line = papers co-authored together Feifei Bai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018252
2 2018173
3 201564
4 202057
5 201742
6 201937
7 201535
8 202027
9 201527
10 201826
11 201726
12 201625
13 202224
14 202323
15 202323
16 202019
17 202318
18 202417
19 202114
20 201612

About Feifei Bai

Feifei Bai is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Renewable Energy, Sustainability and the Environment, Artificial Intelligence and Safety, Risk, Reliability and Quality, having authored 74 papers that have together received 1.1k indexed citations. Recurring topics across this work include Microgrid Control and Optimization (21 papers), Power System Optimization and Stability (16 papers), Smart Grid Energy Management (13 papers), Optimal Power Flow Distribution (11 papers), Islanding Detection in Power Systems (10 papers), Smart Grid Security and Resilience (8 papers), Energy Load and Power Forecasting (8 papers) and Photovoltaic System Optimization Techniques (7 papers). The work is most often cited by research in Energy Engineering and Power Technology (96 citations), Control and Systems Engineering (634 citations), Electrical and Electronic Engineering (909 citations), Safety, Risk, Reliability and Quality (80 citations) and Automotive Engineering (64 citations). Feifei Bai has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Tapan Kumar Saha, Ruifeng Yan, Licheng Wang, Huajie Gu, Nahid‐Al Masood, Yilu Liu, Yi Cui, Yong Liu, Evangelos Farantatos and Navin Bhatt. Their work appears in journals such as IEEE Transactions on Smart Grid, International Journal of Electrical Power & Energy Systems, Applied Energy, IEEE Transactions on Power Systems and IEEE Transactions on Industry Applications.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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