Yuwei Nie

555 total citations
11 papers, 377 citations indexed

About

Yuwei Nie is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Yuwei Nie has authored 11 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Automotive Engineering, 8 papers in Electrical and Electronic Engineering and 4 papers in Control and Systems Engineering. Recurrent topics in Yuwei Nie's work include Advanced Battery Technologies Research (8 papers), Advancements in Battery Materials (5 papers) and Electric Vehicles and Infrastructure (3 papers). Yuwei Nie is often cited by papers focused on Advanced Battery Technologies Research (8 papers), Advancements in Battery Materials (5 papers) and Electric Vehicles and Infrastructure (3 papers). Yuwei Nie collaborates with scholars based in China, United States and Hong Kong. Yuwei Nie's co-authors include Quanqing Yu, Aihua Tang, Michael Pecht, Chengming Zhang, Runfeng Zhang, Jinsong Han, Simin Peng, Chun Wang, Yihan Jiang and Yuanzhi Hu and has published in prestigious journals such as Journal of Power Sources, Applied Energy and Energy.

In The Last Decade

Yuwei Nie

11 papers receiving 364 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yuwei Nie China 9 329 256 113 42 20 11 377
Shiyi Fu China 9 237 0.7× 221 0.9× 72 0.6× 21 0.5× 17 0.8× 18 321
Tiansi Wang China 11 397 1.2× 368 1.4× 77 0.7× 32 0.8× 19 0.9× 36 478
Eunji Kwak South Korea 9 255 0.8× 229 0.9× 46 0.4× 30 0.7× 12 0.6× 16 302
Chuanyu Tang China 7 185 0.6× 184 0.7× 58 0.5× 14 0.3× 18 0.9× 13 300
Ruohan Guo Australia 15 537 1.6× 409 1.6× 175 1.5× 30 0.7× 4 0.2× 28 620
Luis D. Couto Belgium 13 353 1.1× 302 1.2× 104 0.9× 29 0.7× 9 0.5× 47 410
Seongyun Park South Korea 9 253 0.8× 226 0.9× 53 0.5× 33 0.8× 4 0.2× 20 313
Haicheng Xie China 10 252 0.8× 238 0.9× 51 0.5× 39 0.9× 5 0.3× 17 297
Jinghua Zhou China 11 45 0.1× 236 0.9× 162 1.4× 20 0.5× 15 0.8× 70 341

Countries citing papers authored by Yuwei Nie

Since Specialization
Citations

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

Fields of papers citing papers by Yuwei Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuwei Nie

This figure shows the co-authorship network connecting the top 25 collaborators of Yuwei Nie. A scholar is included among the top collaborators of Yuwei Nie based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuwei Nie. Yuwei Nie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Nie, Yuwei, et al.. (2024). Deep transfer learning enables battery state of charge and state of health estimation. Energy. 294. 130779–130779. 32 indexed citations
2.
Tang, Aihua, et al.. (2024). Battery state of health estimation under dynamic operations with physics-driven deep learning. Applied Energy. 370. 123632–123632. 46 indexed citations
3.
Yu, Quanqing, et al.. (2024). Machine learning enables rapid state of health estimation of each cell within battery pack. Applied Energy. 375. 124165–124165. 31 indexed citations
4.
Nie, Yuwei, et al.. (2023). Online health prognosis for lithium-ion batteries under dynamic discharge conditions over wide temperature range. eTransportation. 18. 100296–100296. 49 indexed citations
5.
Chen, Beili, et al.. (2023). USF2 promotes autophagy and proliferation in chronic lymphocytic leukemia by inhibiting STUB1-induced NFAT5 ubiquitination. Annals of Hematology. 103(2). 533–544. 6 indexed citations
6.
Yu, Quanqing, Yuwei Nie, Simin Peng, et al.. (2023). Evaluation of the safety standards system of power batteries for electric vehicles in China. Applied Energy. 349. 121674–121674. 76 indexed citations
7.
Yu, Quanqing, et al.. (2023). State of health estimation method for lithium-ion batteries based on multiple dynamic operating conditions. Journal of Power Sources. 582. 233541–233541. 77 indexed citations
8.
Tang, Aihua, Yihan Jiang, Yuwei Nie, et al.. (2023). Health and lifespan prediction considering degradation patterns of lithium-ion batteries based on transferable attention neural network. Energy. 279. 128137–128137. 38 indexed citations
9.
Li, Jianming, Yuwei Nie, Can Wang, & Quanqing Yu. (2022). A Study on Multi-Fault Diagnosis Methods for a Series-Parallel Battery Pack. 16. 1–4. 2 indexed citations
10.
11.
Chen, Beili, et al.. (2020). Long non-coding RNA LINC01268 promotes cell growth and inhibits cell apoptosis by modulating miR-217/SOS1 axis in acute myeloid leukemia. Brazilian Journal of Medical and Biological Research. 53(8). 11 indexed citations

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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