Fujin Wang

950 citations
14 papers · 509 · 1 hit paper · h-index 9

Impact in

Papers in

Fujin Wang

13 papers receiving 488 citations

Fujin Wang's Hit Papers

Physics-informed neural network for lithium-ion battery degradation stable modeling and prognosis 2024 · 226 citations
2260+1Years since publication50100150200

Peers

Fujin Wang
Comparison fields: 5 of 43
  • Automotive Engineering 412
  • Safety, Risk, Reliability and Quality 77
  • Control and Systems Engineering 156
  • Electrical and Electronic Engineering 305
  • Medical Laboratory Technology 2
Replace Jiuchun Jiang with:
Jiuchun Jiang China
Ashish Khandelwal India
Yihuan Li China
Zewang Chen China
Jiaming Fan China
Renxin Xiao China
Cong Jiang China
Xinyu Gu Australia
Zhiqiang Lyu China
Fujin Wang relative to Jiuchun Jiang China Jiuchun Jiang's profile →
Citations per field
00.5×3.8×
Jiuchun Jiang · 1×
Citations per year

Countries citing papers authored by Fujin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Fujin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Fujin Wang, 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 Fujin Wang Line = papers co-authored together Fujin Wang links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Physics-informed neural network for lithium-ion battery degradation stable modeling and prognosis
Hit paper breakdown →
2024226
2 202287
3 202262
4 202344
5 202326
6 202224
7 202414
8 20248
9 20258
10 20244
11 20213
12 20252
13 20221
14 20250

About Fujin Wang

Fujin Wang is a scholar working on Automotive Engineering, Electrical and Electronic Engineering, Control and Systems Engineering, Safety, Risk, Reliability and Quality and Artificial Intelligence, having authored 14 papers that have together received 509 indexed citations. Recurring topics across this work include Advanced Battery Technologies Research (12 papers), Advancements in Battery Materials (9 papers), Fault Detection and Control Systems (4 papers), Electric Vehicles and Infrastructure (2 papers), Reliability and Maintenance Optimization (2 papers), Electricity Theft Detection Techniques (1 paper), Extraction and Separation Processes (1 paper) and Machine Fault Diagnosis Techniques (1 paper). The work is most often cited by research in Automotive Engineering (412 citations), Safety, Risk, Reliability and Quality (77 citations), Control and Systems Engineering (156 citations), Electrical and Electronic Engineering (305 citations) and Medical Laboratory Technology (2 citations). Fujin Wang has collaborated with scholars based in China. Frequent co-authors include Zhi Zhai, Zhibin Zhao, Xuefeng Chen, Yi Di, Shibin Wang, Zuogang Shang, Ruqiang Yan, Xuefeng Chen, Bingchen Liu and Shiyu Zheng. Their work appears in journals such as Reliability Engineering & System Safety, Journal of Energy Storage, IEEE Internet of Things Journal, IEEE Transactions on Industrial Electronics and Nature Communications.

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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