Da Li

1.3k citations
55 papers · 878 · 1 hit paper · h-index 15

Impact in

Papers in

Da Li

48 papers receiving 852 citations

Da Li's Hit Papers

Battery Fault Diagnosis for Electric Vehicles Based on Voltage Abnormality by Combining the Long Short-Term Memory Neural Network and the Equivalent Circuit Model 2020 · 258 citations
2580+2+4Years since publication50100150200250

Peers

Da Li
Comparison fields: 5 of 93
  • Automotive Engineering 506
  • Safety, Risk, Reliability and Quality 114
  • Control and Systems Engineering 256
  • Electrical and Electronic Engineering 450
  • Paleontology 42
Replace Koji Yamashita with:
Koji Yamashita Japan
Amedeo Andreotti Italy
Jihang Cheng China
Matthew Kelly United States
Yuzuru Ueda Japan
Shahrokh Akhlaghi United States
Fabio Napolitano Italy
Da Li relative to Koji Yamashita Japan Koji Yamashita's profile →
Citations per field
00.5×2×3×4×4.6×
Koji Yamashita · 1×
Citations per year

Countries citing papers authored by Da Li

Since Specialization
Citations

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

Fields of papers citing papers by Da Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Battery Fault Diagnosis for Electric Vehicles Based on Voltage Abnormality by Combining the Long Short-Term Memory Neural Network and the Equivalent Circuit Model
Hit paper breakdown →
2020258
2 2022128
3 201763
4 202147
5 201943
6 201939
7 202237
8 202037
9 200927
10 202320
11 202419
12 202319
13 202116
14 201215
15 202314
16 202211
17 20196
18 20225
19 20205
20 20224

About Da Li

Da Li is a scholar working on Electrical and Electronic Engineering, Automotive Engineering, Control and Systems Engineering, Safety, Risk, Reliability and Quality and Artificial Intelligence, having authored 55 papers that have together received 878 indexed citations. Recurring topics across this work include Advanced Battery Technologies Research (15 papers), Electric Vehicles and Infrastructure (8 papers), Fault Detection and Control Systems (5 papers), Reliability and Maintenance Optimization (5 papers), Blockchain Technology Applications and Security (3 papers), Machine Fault Diagnosis Techniques (3 papers), Electric and Hybrid Vehicle Technologies (3 papers) and Advancements in Battery Materials (3 papers). The work is most often cited by research in Automotive Engineering (506 citations), Safety, Risk, Reliability and Quality (114 citations), Control and Systems Engineering (256 citations), Electrical and Electronic Engineering (450 citations) and Paleontology (42 citations). Da Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhenpo Wang, Peng Liu, Zhaosheng Zhang, Lei Zhang, Junjun Deng, Dirk Uwe Sauer, Weihan Li, David G. Dorrell, Wei He and Fei Luo. Their work appears in journals such as IEEE Transactions on Power Electronics, IEEE Transactions on Transportation Electrification, Applied Energy, IEEE Journal of Emerging and Selected Topics in Power Electronics and Energy.

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.

Explore authors with similar magnitude of impact