Ruifei Ma

787 total citations · 1 hit paper
18 papers, 396 citations indexed

About

Ruifei Ma is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Mechanical Engineering. According to data from OpenAlex, Ruifei Ma has authored 18 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Automotive Engineering, 10 papers in Electrical and Electronic Engineering and 4 papers in Mechanical Engineering. Recurrent topics in Ruifei Ma's work include Advanced Battery Technologies Research (13 papers), Advancements in Battery Materials (9 papers) and Extraction and Separation Processes (3 papers). Ruifei Ma is often cited by papers focused on Advanced Battery Technologies Research (13 papers), Advancements in Battery Materials (9 papers) and Extraction and Separation Processes (3 papers). Ruifei Ma collaborates with scholars based in China, Netherlands and Germany. Ruifei Ma's co-authors include Yelin Deng, Shengyu Tao, Guangmin Zhou, Xuan Zhang, Chongbo Sun, Zhiyuan Han, Jin He, Guanjun Ji, Haocheng Ji and Yaojie Sun and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and Journal of Power Sources.

In The Last Decade

Ruifei Ma

17 papers receiving 377 citations

Hit Papers

Pathway decisions for reuse and recycling of retired lith... 2024 2026 2025 2024 25 50 75
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. Pathway decisions for reuse and recycling of retired lithium-ion batteries considering economic and environmental functions
    2024 79 citations Ruifei Ma, Shengyu Tao et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruifei Ma China 10 265 246 111 56 53 18 396
Matthias Thomitzek Germany 9 183 0.7× 230 0.9× 89 0.8× 41 0.7× 31 0.6× 11 335
Bhanu Sood United States 12 253 1.0× 157 0.6× 50 0.5× 38 0.7× 36 0.7× 36 368
Mohammad Shahjalal United Kingdom 10 606 2.3× 465 1.9× 161 1.5× 47 0.8× 75 1.4× 16 747
Tamanna Shams United Kingdom 7 538 2.0× 454 1.8× 144 1.3× 44 0.8× 51 1.0× 9 657
Gobbi Ramasamy Malaysia 9 335 1.3× 268 1.1× 111 1.0× 34 0.6× 53 1.0× 28 426
Xinzhou Li China 6 385 1.5× 333 1.4× 59 0.5× 19 0.3× 38 0.7× 15 436
Quanwei Chen China 11 576 2.2× 550 2.2× 340 3.1× 191 3.4× 44 0.8× 23 824
Marcus Alexander United States 5 431 1.6× 390 1.6× 53 0.5× 19 0.3× 27 0.5× 6 502
Shengyu Tao China 14 612 2.3× 404 1.6× 121 1.1× 67 1.2× 103 1.9× 35 783
Lluís Trilla Spain 12 406 1.5× 236 1.0× 113 1.0× 49 0.9× 152 2.9× 36 535

Countries citing papers authored by Ruifei Ma

Since Specialization
Citations

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

Fields of papers citing papers by Ruifei Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruifei Ma

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

All Works

18 of 18 papers shown
1.
Tao, Shengyu, Yeyang Jia, Mengtian Zhang, et al.. (2025). Data-Driven Insight into the Universal Structure–Property Relationship of Catalysts in Lithium–Sulfur Batteries. Journal of the American Chemical Society. 147(26). 22851–22863. 11 indexed citations
2.
Tao, Shengyu, et al.. (2025). Robust and generalizable lithium-ion battery health estimation using multi-scale field data decomposition and fusion. Journal of Power Sources. 642. 236939–236939. 6 indexed citations
3.
Ma, Ruifei, et al.. (2025). A pathway design framework for rational low-carbon policies based on model predictive control. Applied Energy. 396. 126154–126154. 2 indexed citations
4.
Lu, Kun, Chao Zhang, Jing Qi, et al.. (2025). MMGDreamer: Mixed-Modality Graph for Geometry-Controllable 3D Indoor Scene Generation. Proceedings of the AAAI Conference on Artificial Intelligence. 39(9). 9391–9399.
5.
Ma, Ruifei, Shengyu Tao, Xin Sun, et al.. (2024). Pathway decisions for reuse and recycling of retired lithium-ion batteries considering economic and environmental functions. Nature Communications. 15(1). 7641–7641. 79 indexed citations breakdown →
6.
Tao, Shengyu, Ruifei Ma, Zheng Liang, et al.. (2024). Rapid and sustainable battery health diagnosis for recycling pretreatment using fast pulse test and random forest machine learning. Journal of Power Sources. 597. 234156–234156. 53 indexed citations
7.
Li, Zeju, Chao Zhang, Xiaoyan Wang, et al.. (2024). 3DMIT: 3D Multi-Modal Instruction Tuning for Scene Understanding. 1–5. 9 indexed citations
8.
9.
Liu, Xutao, Shengyu Tao, Shiyi Fu, et al.. (2024). Binary multi-frequency signal for accurate and rapid electrochemical impedance spectroscopy acquisition in lithium-ion batteries. Applied Energy. 364. 123221–123221. 15 indexed citations
10.
11.
Tao, Shengyu, Haizhou Liu, Chongbo Sun, et al.. (2023). Collaborative and privacy-preserving retired battery sorting for profitable direct recycling via federated machine learning. Nature Communications. 14(1). 8032–8032. 73 indexed citations
12.
Tao, Shengyu, Chongbo Sun, Shiyi Fu, et al.. (2023). Battery Cross-Operation-Condition Lifetime Prediction via Interpretable Feature Engineering Assisted Adaptive Machine Learning. ACS Energy Letters. 8(8). 3269–3279. 46 indexed citations
13.
Ma, Ruifei, Yelin Deng, & Xingxing Wang. (2023). Simplified electrochemical model assisted detection of the early-stage internal short circuit through battery aging. Journal of Energy Storage. 66. 107478–107478. 9 indexed citations
14.
Ma, Ruifei, et al.. (2022). The distributed temperature abatement by the phase changing materials for battery in electric tools and its influence on aging. Sustainable Energy Technologies and Assessments. 52. 102199–102199. 7 indexed citations
15.
16.
Ma, Ruifei & Yelin Deng. (2022). The electrochemical model coupled parameterized life cycle assessment for the optimized design of EV battery pack. The International Journal of Life Cycle Assessment. 27(2). 267–280. 14 indexed citations
17.
18.
Fang, Jian, Ruifei Ma, & Yelin Deng. (2019). Identification of the optimal control strategies for the energy-efficient ventilation under the model predictive control. Sustainable Cities and Society. 53. 101908–101908. 26 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

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