Yinjiao Xing

4.0k total citations · 3 hit papers
24 papers, 3.3k citations indexed

About

Yinjiao Xing is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Yinjiao Xing has authored 24 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Automotive Engineering, 18 papers in Electrical and Electronic Engineering and 8 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Yinjiao Xing's work include Advanced Battery Technologies Research (24 papers), Advancements in Battery Materials (16 papers) and Reliability and Maintenance Optimization (8 papers). Yinjiao Xing is often cited by papers focused on Advanced Battery Technologies Research (24 papers), Advancements in Battery Materials (16 papers) and Reliability and Maintenance Optimization (8 papers). Yinjiao Xing collaborates with scholars based in United States, Hong Kong and China. Yinjiao Xing's co-authors include Michael Pecht, Kwok‐Leung Tsui, Wei He, W. M. Eden, Jiuchun Jiang, Fangfang Yang, Dong Wang, Bingxiang Sun, Jonghoon Kim and Saurabh Saxena and has published in prestigious journals such as Journal of Power Sources, Applied Energy and Electrochimica Acta.

In The Last Decade

Yinjiao Xing

24 papers receiving 3.2k citations

Hit Papers

State of charge estimation of lithium-ion batteries using... 2013 2026 2017 2021 2013 2013 2016 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yinjiao Xing United States 18 3.0k 2.6k 802 609 120 24 3.3k
Guangzhong Dong China 31 3.0k 1.0× 2.6k 1.0× 998 1.2× 581 1.0× 103 0.9× 71 3.4k
Nicholas Williard United States 13 2.1k 0.7× 1.8k 0.7× 610 0.8× 569 0.9× 121 1.0× 17 2.4k
Jon P. Christophersen United States 22 2.6k 0.9× 2.2k 0.9× 863 1.1× 705 1.2× 192 1.6× 40 3.1k
Ji Wu China 33 3.5k 1.2× 3.0k 1.1× 1.1k 1.4× 591 1.0× 115 1.0× 92 3.8k
Yunlong Shang China 34 4.2k 1.4× 3.6k 1.4× 1.4k 1.7× 556 0.9× 151 1.3× 142 4.7k
Quan Ouyang China 21 1.8k 0.6× 1.7k 0.6× 496 0.6× 249 0.4× 91 0.8× 51 2.2k
Phillip J. Kollmeyer Canada 28 3.4k 1.1× 3.2k 1.2× 836 1.0× 206 0.3× 148 1.2× 89 3.9k
Chenbin Zhang China 19 2.6k 0.9× 2.4k 0.9× 620 0.8× 280 0.5× 37 0.3× 27 2.8k
Jiangwei Shen China 30 2.4k 0.8× 2.0k 0.8× 653 0.8× 333 0.5× 92 0.8× 88 2.6k

Countries citing papers authored by Yinjiao Xing

Since Specialization
Citations

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

Fields of papers citing papers by Yinjiao Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yinjiao Xing

This figure shows the co-authorship network connecting the top 25 collaborators of Yinjiao Xing. A scholar is included among the top collaborators of Yinjiao Xing 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 Yinjiao Xing. Yinjiao Xing is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hu, Xiao, Loïc Boulon, Suleiman M. Sharkh, et al.. (2020). IEEE Access Special Section Editorial: Battery Energy Storage and Management Systems. IEEE Access. 8. 123098–123103. 1 indexed citations
2.
Diao, Weiping, Yinjiao Xing, Saurabh Saxena, & Michael Pecht. (2018). Evaluation of Present Accelerated Temperature Testing and Modeling of Batteries. Applied Sciences. 8(10). 1786–1786. 26 indexed citations
3.
Kong, Lingxi, Yinjiao Xing, & Michael Pecht. (2018). <italic>In-Situ</italic> Observations of Lithium Dendrite Growth. IEEE Access. 6. 8387–8393. 58 indexed citations
4.
Saxena, Saurabh, Myeongsu Kang, Yinjiao Xing, & Michael Pecht. (2018). Anomaly Detection During Lithium-ion Battery Qualification Testing. 1–6. 9 indexed citations
5.
Peng, Simin, et al.. (2018). An adaptive state of charge estimation approach for lithium-ion series-connected battery system. Journal of Power Sources. 392. 48–59. 48 indexed citations
6.
Saxena, Saurabh, Yinjiao Xing, & Michael Pecht. (2018). A Unique Failure Mechanism in the Nexus 6P Lithium-Ion Battery. Energies. 11(4). 841–841. 8 indexed citations
7.
Li, Junfu, Lixin Wang, Chao Lyu, et al.. (2018). A parameter estimation method for a simplified electrochemical model for Li-ion batteries. Electrochimica Acta. 275. 50–58. 73 indexed citations
8.
Huo, Haibo, et al.. (2017). Safety Requirements for Transportation of Lithium Batteries. Energies. 10(6). 793–793. 59 indexed citations
9.
Yang, Fangfang, Dong Wang, Yinjiao Xing, & Kwok‐Leung Tsui. (2017). Prognostics of Li(NiMnCo)O2-based lithium-ion batteries using a novel battery degradation model. Microelectronics Reliability. 70. 70–78. 106 indexed citations
11.
Cheng, Ximing, et al.. (2016). Novel Parametric Circuit Modeling for Li-Ion Batteries. Energies. 9(7). 539–539. 13 indexed citations
12.
Xing, Yinjiao, et al.. (2016). Influence of different open circuit voltage tests on state of charge online estimation for lithium-ion batteries. Applied Energy. 183. 513–525. 425 indexed citations breakdown →
13.
Yang, Fangfang, Yinjiao Xing, Dong Wang, & Kwok‐Leung Tsui. (2015). A comparative study of three model-based algorithms for estimating state-of-charge of lithium-ion batteries under a new combined dynamic loading profile. Applied Energy. 164. 387–399. 178 indexed citations
14.
Xing, Yinjiao, et al.. (2014). A naive Bayes model for robust remaining useful life prediction of lithium-ion battery. Applied Energy. 118. 114–123. 272 indexed citations
15.
Xing, Yinjiao, Wei He, Michael Pecht, & Kwok‐Leung Tsui. (2013). State of charge estimation of lithium-ion batteries using the open-circuit voltage at various ambient temperatures. Applied Energy. 113. 106–115. 741 indexed citations breakdown →
16.
Xing, Yinjiao, et al.. (2013). An ensemble model for predicting the remaining useful performance of lithium-ion batteries. Microelectronics Reliability. 53(6). 811–820. 520 indexed citations breakdown →
17.
Xing, Yinjiao, W. M. Eden, Kwok‐Leung Tsui, & Michael Pecht. (2012). Influence of parameter initialization on battery life prediction for online applications. 1042–1046. 4 indexed citations
18.
Xing, Yinjiao, Nicholas Williard, Kwok‐Leung Tsui, & Michael Pecht. (2011). A comparative review of prognostics-based reliability methods for Lithium batteries. 1–6. 32 indexed citations
19.
Xing, Yinjiao, W. M. Eden, Kwok‐Leung Tsui, & Michael Pecht. (2011). Battery Management Systems in Electric and Hybrid Vehicles. Energies. 4(11). 1840–1857. 393 indexed citations
20.
Xing, Yinjiao, Qiang Miao, Kwok‐Leung Tsui, & Michael Pecht. (2011). Prognostics and health monitoring for lithium-ion battery. 242–247. 30 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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