Bin Gou

3.5k citations
65 papers · 2.6k indexed · 2 hit papers · h-index 21

Impact in

Papers in

Bin Gou

58 papers receiving 2.5k citations

Hit Papers

State-of-Health Estimation and Remaining-Useful-Life Prediction for Lithium-Ion Battery Using a Hybrid Data-Driven Method 2020 · 269 citations
2692008202620142020100200300400

Peers

Bin Gou
Comparison fields: 5 of 73
  • Control and Systems Engineering 1.2k
  • Automotive Engineering 585
  • Safety, Risk, Reliability and Quality 344
  • Electrical and Electronic Engineering 2.0k
  • Energy Engineering and Power Technology 98
Replace D. Lauria with:
D. Lauria Italy
Sasa Djokic United Kingdom
G. Carpinelli Italy
Dimitris P. Labridis Greece
Shuai Zhao China
S. Massucco Italy
Campbell Booth United Kingdom
Vincenzo Galdi Italy
Sarah Rönnberg Sweden
M. Etezadi-Amoli United States
Bin Gou relative to D. Lauria Italy D. Lauria's profile →
Citations per field
00.5×3.5×
D. Lauria · 1×
Citations per year

Countries citing papers authored by Bin Gou

Since Specialization
Citations

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

Fields of papers citing papers by Bin Gou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20243
3 20246
4 20241
5 202411
6 20245
7 20240
8 20232
9 202314
10 202225
11 202123
12 202112
13 202035
14 2020129
15 202019
16 201978
17 2019223
18 2018146
19 201825
20
Diagnosis of Open Circuit Faults for Traction Inverter Based on Mixed Logic Dynamic Model
20163

About Bin Gou

Bin Gou is a scholar working on Automotive Engineering, Control and Systems Engineering, Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality and Energy Engineering and Power Technology, having authored 65 papers that have together received 2.6k indexed citations. Recurring topics across this work include Silicon Carbide Semiconductor Technologies (16 papers), Advanced Battery Technologies Research (14 papers), Multilevel Inverters and Converters (12 papers), Power System Optimization and Stability (10 papers), Advancements in Battery Materials (10 papers), Machine Fault Diagnosis Techniques (10 papers), Machine Learning and ELM (8 papers) and Fault Detection and Control Systems (6 papers). The work is most often cited by research in Control and Systems Engineering (1.2k citations), Automotive Engineering (585 citations), Safety, Risk, Reliability and Quality (344 citations), Electrical and Electronic Engineering (2.0k citations) and Energy Engineering and Power Technology (98 citations). Bin Gou has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Yan Xu, Feng Xue, Xinglai Ge, Yang Xia, Ali Abur, Sidun Fang, Yu Wang, Yong‐Chao Liu, Xiaoyun Feng and Shuyong Liu. Their work appears in journals such as IEEE Transactions on Transportation Electrification, IEEE Transactions on Power Systems, IEEE Transactions on Power Electronics, IEEE Transactions on Industrial Electronics and Electronics Letters.

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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2026