Jiahuan Lu

3.0k total citations · 5 hit papers
35 papers, 2.3k citations indexed

About

Jiahuan Lu is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Jiahuan Lu has authored 35 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Automotive Engineering, 23 papers in Electrical and Electronic Engineering and 5 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Jiahuan Lu's work include Advanced Battery Technologies Research (24 papers), Advancements in Battery Materials (16 papers) and Electric Vehicles and Infrastructure (11 papers). Jiahuan Lu is often cited by papers focused on Advanced Battery Technologies Research (24 papers), Advancements in Battery Materials (16 papers) and Electric Vehicles and Infrastructure (11 papers). Jiahuan Lu collaborates with scholars based in China, Australia and United States. Jiahuan Lu's co-authors include Rui Xiong, Jinpeng Tian, Weixiang Shen, Fengchun Sun, Zeyu Chen, Xiaoguang Yang, Chenxu Wang, Xinggang Li, Zeyu Chen and Chenxu Wang and has published in prestigious journals such as Nature Communications, Journal of Power Sources and Applied Energy.

In The Last Decade

Jiahuan Lu

34 papers receiving 2.2k citations

Hit Papers

State-of-charge estimation of LiFePO4 batteries in electr... 2021 2026 2022 2024 2021 2021 2023 2022 2022 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. State-of-charge estimation of LiFePO4 batteries in electric vehicles: A deep-learning enabled approach
    2021 253 citations Jinpeng Tian, Rui Xiong et al. Applied Energy profile →
  2. Deep neural network battery charging curve prediction using 30 points collected in 10 min
    2021 247 citations Jinpeng Tian, Rui Xiong et al. profile →
  3. Deep learning to estimate lithium-ion battery state of health without additional degradation experiments
    2023 205 citations Jiahuan Lu, Rui Xiong et al. Nature Communications profile →
  4. Battery degradation prediction against uncertain future conditions with recurrent neural network enabled deep learning
    2022 173 citations Jiahuan Lu, Rui Xiong et al. Energy storage materials profile →
  5. Flexible battery state of health and state of charge estimation using partial charging data and deep learning
    2022 169 citations Jinpeng Tian, Rui Xiong et al. Energy storage materials profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiahuan Lu China 19 2.0k 1.7k 493 243 104 35 2.3k
Paul Takyi‐Aninakwa China 21 1.5k 0.8× 1.4k 0.9× 594 1.2× 144 0.6× 85 0.8× 48 1.9k
Yunhong Che China 23 2.4k 1.2× 2.1k 1.3× 625 1.3× 375 1.5× 75 0.7× 56 2.7k
Phillip J. Kollmeyer Canada 28 3.4k 1.7× 3.2k 1.9× 836 1.7× 206 0.8× 95 0.9× 89 3.9k
Quan Ouyang China 21 1.8k 0.9× 1.7k 1.0× 496 1.0× 249 1.0× 69 0.7× 51 2.2k
Guangzhong Dong China 31 3.0k 1.5× 2.6k 1.6× 998 2.0× 581 2.4× 80 0.8× 71 3.4k
Nicholas Williard United States 13 2.1k 1.1× 1.8k 1.1× 610 1.2× 569 2.3× 50 0.5× 17 2.4k
Jiaqiang Tian China 15 1.7k 0.8× 1.5k 0.9× 511 1.0× 209 0.9× 34 0.3× 50 1.9k
Yuanjian Zhang China 32 2.7k 1.4× 2.2k 1.3× 739 1.5× 222 0.9× 77 0.7× 131 3.1k
Yinjiao Xing United States 18 3.0k 1.5× 2.6k 1.6× 802 1.6× 609 2.5× 59 0.6× 24 3.3k
Siyu Jin China 13 1.1k 0.6× 1.1k 0.7× 377 0.8× 188 0.8× 63 0.6× 25 1.4k

Countries citing papers authored by Jiahuan Lu

Since Specialization
Citations

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

Fields of papers citing papers by Jiahuan Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiahuan Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Jiahuan Lu. A scholar is included among the top collaborators of Jiahuan Lu 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 Jiahuan Lu. Jiahuan Lu 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.
Chen, Hongkai, et al.. (2025). A small-scale target enhancement framework for aerial pineapple images on accurate agricultural information. Computers and Electronics in Agriculture. 239. 110874–110874.
2.
Lai, Xin, Xiaopeng Tang, Yuejiu Zheng, et al.. (2025). Early-stage remaining useful life prediction for lithium-ion batteries based on geometric output construction. Journal of Energy Storage. 114. 115792–115792. 1 indexed citations
3.
4.
Liu, Xiaolong, et al.. (2024). State of charge estimation of LiFePO4 battery in AB hybrid battery packs. Journal of Energy Storage. 108. 115070–115070. 5 indexed citations
5.
Lu, Jiahuan, Rui Xiong, Jinpeng Tian, Chenxu Wang, & Fengchun Sun. (2023). Deep learning to estimate lithium-ion battery state of health without additional degradation experiments. Nature Communications. 14(1). 2760–2760. 205 indexed citations breakdown →
6.
Lu, Jiahuan, et al.. (2023). Deep learning to predict battery voltage behavior after uncertain cycling-induced degradation. Journal of Power Sources. 581. 233473–233473. 14 indexed citations
7.
Xiong, Rui, Jinpeng Tian, Weixiang Shen, Jiahuan Lu, & Fengchun Sun. (2022). Semi-supervised estimation of capacity degradation for lithium ion batteries with electrochemical impedance spectroscopy. Journal of Energy Chemistry. 76. 404–413. 115 indexed citations
8.
Tian, Jinpeng, Rui Xiong, Weixiang Shen, & Jiahuan Lu. (2022). Data‐driven battery degradation prediction: Forecasting voltage‐capacity curves using one‐cycle data. EcoMat. 4(5). 34 indexed citations
9.
Tian, Jinpeng, Rui Xiong, Weixiang Shen, Jiahuan Lu, & Fengchun Sun. (2022). Flexible battery state of health and state of charge estimation using partial charging data and deep learning. Energy storage materials. 51. 372–381. 169 indexed citations breakdown →
10.
Wang, Wenwen, Jun Wang, Jinpeng Tian, Jiahuan Lu, & Rui Xiong. (2021). Application of Digital Twin in Smart Battery Management Systems. Chinese Journal of Mechanical Engineering. 34(1). 94 indexed citations
11.
Tian, Jinpeng, et al.. (2021). Deep neural network battery impedance spectra prediction by only using constant-current curve. Energy storage materials. 41. 24–31. 63 indexed citations
12.
Liu, Yi, et al.. (2020). Sentiment analysis for e-commerce product reviews by deep learning model of Bert-BiGRU-Softmax. Mathematical Biosciences & Engineering. 17(6). 7819–7837. 57 indexed citations
13.
Yang, Zhao, et al.. (2020). A Real-Time Trajectory Prediction Method of Small-Scale Quadrotors Based on GPS Data and Neural Network. Sensors. 20(24). 7061–7061. 16 indexed citations
14.
15.
Chen, Zeyu, Rui Xiong, Jiahuan Lu, & Xinggang Li. (2018). Temperature rise prediction of lithium-ion battery suffering external short circuit for all-climate electric vehicles application. Applied Energy. 213. 375–383. 172 indexed citations
16.
Lu, Jiahuan, et al.. (2018). Online Estimation of State of Power for Lithium-Ion Batteries in Electric Vehicles Using Genetic Algorithm. IEEE Access. 6. 20868–20880. 53 indexed citations
17.
Liu, Yi, et al.. (2018). Sentiment Classification of E-Commerce Product Quality Reviews by FL-SVM Approaches. 21. 292–298. 1 indexed citations
18.
19.
Chen, Zeyu, Jiahuan Lu, Ying Yang, & Rui Xiong. (2017). Online estimation of state of power for lithium-ion battery considering the battery aging. 3112–3116. 7 indexed citations
20.
Chen, Zeyu, et al.. (2016). Model-based fault diagnosis approach on external short circuit of lithium-ion battery used in electric vehicles. Applied Energy. 184. 365–374. 193 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Paul Takyi‐Aninakwa Breakdown of academic impact, for papers by Yunhong Che Breakdown of academic impact, for papers by Phillip J. Kollmeyer Breakdown of academic impact, for papers by Quan Ouyang Breakdown of academic impact, for papers by Guangzhong Dong Breakdown of academic impact, for papers by Nicholas Williard Breakdown of academic impact, for papers by Jiaqiang Tian Breakdown of academic impact, for papers by Yuanjian Zhang Breakdown of academic impact, for papers by Yinjiao Xing Breakdown of academic impact, for papers by Siyu Jin
Rankless by CCL
2026