Da Li

1.2k citations
57 papers · 941 · 1 hit paper · h-index 16

Impact in

Papers in

Da Li

49 papers receiving 906 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 · 273 citations
2730+2+4Years since publication50100150200250

Peers

Da Li
Comparison fields: 5 of 93
  • Automotive Engineering 539
  • Safety, Risk, Reliability and Quality 116
  • Control and Systems Engineering 264
  • Electrical and Electronic Engineering 459
  • Paleontology 42
Replace Lei Dai with:
Lei Dai China
Koji Yamashita Japan
Trapti Jain India
Lei Feng China
Hui Zhi Sun China
Matthew Kelly United States
Juan Manuel Ramirez Mexico
Jihang Cheng China
Da Li relative to Lei Dai China Lei Dai's profile →
Citations per field
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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 57 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 →
2020273
2 2022146
3 201763
4 202150
5 201943
6 201941
7 202241
8 202038
9 200927
10 202424
11 202322
12 202319
13 202118
14 201216
15 202216
16 202316
17 20196
18 20226
19 20205
20 20225

About Da Li

Da Li is a scholar working on Automotive Engineering, Safety, Risk, Reliability and Quality, Electrical and Electronic Engineering, Control and Systems Engineering and Information Systems, having authored 57 papers that have together received 941 indexed citations. Recurring topics across this work include Advanced Battery Technologies Research (15 papers), Electric Vehicles and Infrastructure (8 papers), Reliability and Maintenance Optimization (5 papers), Fault Detection and Control Systems (5 papers), Electric and Hybrid Vehicle Technologies (3 papers), Blockchain Technology Applications and Security (3 papers), Advancements in Battery Materials (3 papers) and Machine Fault Diagnosis Techniques (3 papers). The work is most often cited by research in Automotive Engineering (539 citations), Safety, Risk, Reliability and Quality (116 citations), Control and Systems Engineering (264 citations), Electrical and Electronic Engineering (459 citations) and Paleontology (42 citations). Da Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zhenpo Wang, Peng Liu, Zhaosheng Zhang, Lei Zhang, Junjun Deng, Dirk Uwe Sauer, Weihan Li, David George Dorrell, Lianqing Zhu and Fei Luo. Their work appears in journals such as IEEE Transactions on Power Electronics, IEEE Transactions on Transportation Electrification, Applied Energy, IEEE photonics journal and Earth and Planetary Science 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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