Da Li

1.3k citations
52 papers · 796 · 1 hit paper · h-index 13

Impact in

Papers in

Da Li

44 papers receiving 762 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 · 250 citations
2500+2+4Years since publication50100150200250

Peers

Da Li
Comparison fields: 5 of 92
  • Automotive Engineering 486
  • Safety, Risk, Reliability and Quality 110
  • Control and Systems Engineering 242
  • Electrical and Electronic Engineering 431
  • Paleontology 40
Replace Kui Li with:
Kui Li China
Koji Yamashita Japan
Lei Dai China
Sang-Seung Lee South Korea
Yalong Li China
Ahmed Aziz Ezzat United States
Xixiu Wu China
Nguyễn Trung Hiếu Vietnam
Da Li relative to Kui Li China Kui Li's profile →
Citations per field
00.5×11.6×
Kui Li · 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 52 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 →
2020250
2 2022120
3 201760
4 202142
5 201941
6 201935
7 202035
8 202234
9 202319
10 202319
11 202417
12 201214
13 202113
14 202312
15 202210
16 20196
17 20225
18 20205
19 20224
20 20134

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 52 papers that have together received 796 indexed citations. Recurring topics across this work include Advanced Battery Technologies Research (14 papers), Electric Vehicles and Infrastructure (8 papers), Reliability and Maintenance Optimization (4 papers), Fault Detection and Control Systems (4 papers), Machine Fault Diagnosis Techniques (3 papers), Blockchain Technology Applications and Security (3 papers), Smart Grid Energy Management (3 papers) and Advancements in Battery Materials (3 papers). The work is most often cited by research in Automotive Engineering (486 citations), Safety, Risk, Reliability and Quality (110 citations), Control and Systems Engineering (242 citations), Electrical and Electronic Engineering (431 citations) and Paleontology (40 citations). Da Li has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Zhenpo Wang, Zhaosheng Zhang, Peng Liu, Lei Zhang, Junjun Deng, David G. Dorrell, Dirk Uwe Sauer, Weihan Li, Fei Luo and Lianqing Zhu. Their work appears in journals such as IEEE Transactions on Power Electronics, Applied Energy, Scientific Reports, Earth and Planetary Science Letters and Fire.

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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