Runze Mao

410 total citations · 1 hit paper
20 papers, 249 citations indexed

About

Runze Mao is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Runze Mao has authored 20 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 7 papers in Automotive Engineering and 7 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Runze Mao's work include Advanced Battery Technologies Research (7 papers), Machine Fault Diagnosis Techniques (5 papers) and Advancements in Battery Materials (4 papers). Runze Mao is often cited by papers focused on Advanced Battery Technologies Research (7 papers), Machine Fault Diagnosis Techniques (5 papers) and Advancements in Battery Materials (4 papers). Runze Mao collaborates with scholars based in China, Norway and Japan. Runze Mao's co-authors include Y. G. Li, Jinglin Zhang, Li Li, Houxiang Zhang, Hans Petter Hildre, Guoyuan Li, Yi Zhang, Yuanjun Li, Masashi Kishimoto and Hiroshi Iwai and has published in prestigious journals such as Journal of Power Sources, Expert Systems with Applications and Energy.

In The Last Decade

Runze Mao

19 papers receiving 244 citations

Hit Papers

Remaining Useful Life Prediction for Lithium-Ion Batterie... 2023 2026 2024 2025 2023 25 50 75 100
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. Remaining Useful Life Prediction for Lithium-Ion Batteries With a Hybrid Model Based on TCN-GRU-DNN and Dual Attention Mechanism
    2023 104 citations Y. G. Li, Runze Mao et al. IEEE Transactions on Transportation Electrification profile →

Peers

Runze Mao
Haiwei Wang China
Mauricio Marcano Spain
Zhenwu Fang China
Dongkui Tan China
Joshué Pérez France
Haoran Wu China
Hans-Peter Schöner Germany
Jussi Suomela Finland
Haiwei Wang China
Runze Mao
Citations per year, relative to Runze Mao Runze Mao (= 1×) peers Haiwei Wang

Countries citing papers authored by Runze Mao

Since Specialization
Citations

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

Fields of papers citing papers by Runze Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Runze Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Runze Mao. A scholar is included among the top collaborators of Runze Mao 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 Runze Mao. Runze Mao 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.
Mao, Runze, Peihua Han, Wenbo Xu, et al.. (2025). A dual-exponential EKF model for lithium-ion battery RUL prediction with Bayesian optimization. Measurement Science and Technology. 36(9). 96204–96204. 1 indexed citations
2.
Xu, Wenbo, Runze Mao, Peihua Han, et al.. (2025). A comprehensive review of lithium-ion battery remaining useful life prediction: methodologies, datasets, performance metrics, and future perspectives. Measurement Science and Technology. 36(8). 82001–82001. 2 indexed citations
3.
Mao, Runze, Y. G. Li, Guoyuan Li, Hans Petter Hildre, & Houxiang Zhang. (2025). A Systematic Survey of Digital Twin Applications: Transferring Knowledge From Automotive and Aviation to Maritime Industry. IEEE Transactions on Intelligent Transportation Systems. 26(4). 4240–4259. 1 indexed citations
4.
Mao, Runze, et al.. (2025). Understanding the Determinants of Electric Vehicle Range: A Multi-Dimensional Survey. Sustainability. 17(10). 4259–4259. 4 indexed citations
5.
Mao, Runze, et al.. (2025). A comprehensive survey of battery energy in maritime transportation: Trends, challenges, and future perspectives. Ocean Engineering. 337. 121881–121881. 1 indexed citations
6.
Mao, Runze, et al.. (2025). VSC-ACGAN: bearing fault diagnosis model applied to imbalanced samples. Measurement Science and Technology. 36(3). 36212–36212. 4 indexed citations
7.
8.
Li, Y. G., et al.. (2024). DACA: A domain adaptive fault diagnosis approach with class-aware based on cross-domain extreme imbalance data. Expert Systems with Applications. 256. 124944–124944. 4 indexed citations
9.
Li, Y. G., et al.. (2024). TPANet: A novel triple parallel attention network approach for remaining useful life prediction of lithium-ion batteries. Energy. 309. 132890–132890. 11 indexed citations
10.
Li, Y. G., Runze Mao, Yi Zhang, et al.. (2023). A Fault Diagnosis Method Based on an Improved Deep Q-Network for the Interturn Short Circuits of a Permanent Magnet Synchronous Motor. IEEE Transactions on Transportation Electrification. 10(2). 3870–3887. 22 indexed citations
11.
Li, Y. G., et al.. (2023). Hybrid Data-Driven Approach for Predicting the Remaining Useful Life of Lithium-Ion Batteries. IEEE Transactions on Transportation Electrification. 10(2). 2789–2805. 25 indexed citations
12.
Li, Y. G., et al.. (2023). Remaining Useful Life Prediction for Lithium-Ion Batteries With a Hybrid Model Based on TCN-GRU-DNN and Dual Attention Mechanism. IEEE Transactions on Transportation Electrification. 9(3). 4726–4740. 104 indexed citations breakdown →
13.
Mao, Runze, Yuanjiang Li, & Houxiang Zhang. (2023). Simulation Method in Automotive, Aviation and Maritime Industries for Digital Twin: A Brief Survey. 1442–1447. 2 indexed citations
14.
Mao, Runze, Yuanjiang Li, & Houxiang Zhang. (2023). Digital Twin-Based Research in the Maritime Industry: A Brief Survey. 1–6. 2 indexed citations
15.
Mao, Runze, et al.. (2022). Grid-shape electrical circuit assembled with resistance temperature detectors for multipoint temperature measurement of solid oxide fuel cells. Journal of Power Sources. 530. 231293–231293. 6 indexed citations
16.
Mao, Runze, Masashi Kishimoto, & Hiroshi Iwai. (2021). Multipoint temperature measurement using serially connected resistor–capacitor parallel circuits by impedance spectroscopy. Sensors and Actuators A Physical. 331. 113051–113051. 5 indexed citations
17.
Mao, Runze, Guoyuan Li, Hans Petter Hildre, & Houxiang Zhang. (2021). A Survey of Eye Tracking in Automobile and Aviation Studies: Implications for Eye-Tracking Studies in Marine Operations. IEEE Transactions on Human-Machine Systems. 51(2). 87–98. 21 indexed citations
18.
Li, Guoyuan, Runze Mao, Hans Petter Hildre, & Houxiang Zhang. (2019). Visual Attention Assessment for Expert-in-the-Loop Training in a Maritime Operation Simulator. IEEE Transactions on Industrial Informatics. 16(1). 522–531. 22 indexed citations
19.
Mao, Runze, Guoyuan Li, Hans Petter Hildre, & Houxiang Zhang. (2019). Analysis and evaluation of eye behavior for marine operation training - A pilot study. Journal of Eye Movement Research. 12(3). 7 indexed citations
20.
Mao, Runze, et al.. (2003). A new on-chip voltage regulator for high density CMOS DRAMs. 108–109.

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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