Xiaolei Bian

1.5k citations
26 papers · 1.2k · 1 hit paper · h-index 13

Impact in

Papers in

Xiaolei Bian

24 papers receiving 1.2k citations

Xiaolei Bian's Hit Papers

Data-Driven Battery State of Health Estimation Based on Random Partial Charging Data 2021 · 243 citations
2430+1+3Years since publication50100150200

Peers

Xiaolei Bian
Comparison fields: 5 of 48
  • Automotive Engineering 1.1k
  • Safety, Risk, Reliability and Quality 176
  • Electrical and Electronic Engineering 906
  • Control and Systems Engineering 323
  • Energy Engineering and Power Technology 11
Replace Simon F. Schuster with:
Simon F. Schuster Germany
Mingwang Wang China
Xiaoming Xu China
Yujun Liu China
Duo Yang China
Ephrem Chemali Canada
Xiaolei Bian relative to Simon F. Schuster Germany Simon F. Schuster's profile →
Citations per field
00.5×2.8×
Simon F. Schuster · 1×
Citations per year

Countries citing papers authored by Xiaolei Bian

Since Specialization
Citations

This map shows the geographic impact of Xiaolei Bian'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 Xiaolei Bian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolei Bian more than expected).

Fields of papers citing papers by Xiaolei Bian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaolei Bian. 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 Xiaolei Bian. The network helps show where Xiaolei Bian may publish in the future.

Co-authors

The 25 scholars most cited alongside Xiaolei Bian, 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 Xiaolei Bian Line = papers co-authored together Xiaolei Bian links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Data-Driven Battery State of Health Estimation Based on Random Partial Charging Data
Hit paper breakdown →
2021243
2 2020160
3 2021128
4 2019109
5 2020108
6 2020101
7 201993
8 201779
9 202059
10 202146
11 202233
12 202315
13 202314
14 202312
15 20218
16 20227
17 20217
18 20234
19 20184
20 20153

About Xiaolei Bian

Xiaolei Bian is a scholar working on Automotive Engineering, Electrical and Electronic Engineering, Control and Systems Engineering, Biomedical Engineering and Computer Networks and Communications, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Battery Technologies Research (13 papers), Advancements in Battery Materials (8 papers), Fault Detection and Control Systems (7 papers), Distributed Sensor Networks and Detection Algorithms (5 papers), Target Tracking and Data Fusion in Sensor Networks (5 papers), Membrane-based Ion Separation Techniques (4 papers), Advanced Battery Materials and Technologies (4 papers) and Reliability and Maintenance Optimization (3 papers). The work is most often cited by research in Automotive Engineering (1.1k citations), Safety, Risk, Reliability and Quality (176 citations), Electrical and Electronic Engineering (906 citations), Control and Systems Engineering (323 citations) and Energy Engineering and Power Technology (11 citations). Xiaolei Bian has collaborated with scholars based in China, Sweden and Canada. Frequent co-authors include Longcheng Liu, Zhongbao Wei, Jiangtao He, Fengjun Yan, Zhongwei Deng, Penghua Li, Jinying Yan, Xiao Hu, Xianke Lin and Ruikai Zhao. Their work appears in journals such as IEEE Transactions on Transportation Electrification, IEEE Transactions on Power Electronics, Journal of Energy Storage, Energy and iScience.

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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