Binghe Liu

4.1k total citations · 1 hit paper
65 papers, 3.4k citations indexed

About

Binghe Liu is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Mechanical Engineering. According to data from OpenAlex, Binghe Liu has authored 65 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Automotive Engineering, 45 papers in Electrical and Electronic Engineering and 15 papers in Mechanical Engineering. Recurrent topics in Binghe Liu's work include Advanced Battery Technologies Research (56 papers), Advancements in Battery Materials (43 papers) and Advanced Battery Materials and Technologies (29 papers). Binghe Liu is often cited by papers focused on Advanced Battery Technologies Research (56 papers), Advancements in Battery Materials (43 papers) and Advanced Battery Materials and Technologies (29 papers). Binghe Liu collaborates with scholars based in China, United States and United Kingdom. Binghe Liu's co-authors include Jun Xu, Sha Yin, Yikai Jia, Lubing Wang, Chunhao Yuan, Dayong Hu, Xiang Gao, Chao Zhang, Yongjun Pan and Xinyi Wang and has published in prestigious journals such as Journal of Power Sources, Journal of The Electrochemical Society and Acta Materialia.

In The Last Decade

Binghe Liu

60 papers receiving 3.3k citations

Hit Papers

Safety issues and mechanisms of lithium-ion battery cell ... 2019 2026 2021 2023 2019 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
Binghe Liu China 28 2.8k 2.6k 618 173 137 65 3.4k
Chenzhen Ji Singapore 25 1.2k 0.4× 1.3k 0.5× 983 1.6× 90 0.5× 68 0.5× 45 2.9k
Sha Yin China 33 2.2k 0.8× 2.1k 0.8× 1.4k 2.3× 325 1.9× 106 0.8× 69 4.0k
Song-Yul Choe United States 35 2.0k 0.7× 3.2k 1.2× 1.2k 1.9× 82 0.5× 383 2.8× 108 4.1k
Guoqing Zhang China 29 1.8k 0.6× 1.8k 0.7× 1.3k 2.1× 74 0.4× 38 0.3× 80 3.0k
Yutao Huo China 23 2.0k 0.7× 2.0k 0.8× 1.2k 1.9× 96 0.6× 67 0.5× 51 3.2k
Xiaobin Hong China 30 1.5k 0.5× 3.2k 1.2× 555 0.9× 337 1.9× 60 0.4× 109 4.0k
Byoung‐Kuk Lee South Korea 35 1.5k 0.5× 3.4k 1.3× 398 0.6× 275 1.6× 811 5.9× 282 4.1k
Pascal Venet France 35 2.4k 0.9× 3.0k 1.1× 215 0.3× 909 5.3× 700 5.1× 104 3.9k
Laili Wang China 34 761 0.3× 4.0k 1.5× 584 0.9× 86 0.5× 271 2.0× 255 4.4k

Countries citing papers authored by Binghe Liu

Since Specialization
Citations

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

Fields of papers citing papers by Binghe Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Binghe Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Binghe Liu. A scholar is included among the top collaborators of Binghe Liu 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 Binghe Liu. Binghe Liu 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.
Pan, Yongjun, et al.. (2026). Expedited prediction of ageing-effected mechanical responses in battery packs under various crushing conditions. Process Safety and Environmental Protection. 210. 108651–108651.
2.
Yang, Cheng, et al.. (2025). Ultrasound-based state monitoring of lithium iron phosphate batteries considering mechanical constraint. Chemical Engineering Journal. 526. 171392–171392.
3.
Liu, Binghe, et al.. (2025). Mechanistic insights into the in-plane swelling of lithium-ion battery from electrode to cell. Energy storage materials. 83. 104712–104712.
4.
Liu, Binghe, et al.. (2025). Mechanistic analysis on electrochemo-mechanics behaviors of lithium iron phosphate cathodes. Acta Materialia. 292. 121024–121024. 7 indexed citations
5.
Li, Honggang, Shuai Jiang, Fangyuan Shi, et al.. (2025). Multiaxial failure characterization and short-circuit prediction of large-format prismatic lithium-ion batteries. Applied Energy. 402. 126963–126963. 1 indexed citations
6.
Mao, Ya, et al.. (2025). Adjustment of swelling stress ranges to control internal short circuit behavior of high-energy lithium metal batteries. Chemical Engineering Journal. 517. 164403–164403. 1 indexed citations
7.
Pan, Yongjun, et al.. (2024). Mechanical safety prediction of a battery-pack system under low speed frontal impact via machine learning. Engineering Analysis with Boundary Elements. 160. 65–75. 25 indexed citations
8.
Li, Honggang, et al.. (2024). On the strain rate-dependent mechanical behavior of PE separator for lithium-ion batteries. International Journal of Impact Engineering. 194. 105079–105079. 18 indexed citations
9.
Pan, Yongjun, et al.. (2024). Mechanical issues of lithium-ion batteries in road traffic conditions: A review. Thin-Walled Structures. 201. 111985–111985. 25 indexed citations
10.
Liu, Binghe, et al.. (2024). A Hierarchical Modeling Framework for Electrochemical Behaviors in Lithium‐Ion Batteries with Detailed Structures. Energy & environment materials. 7(5). 3 indexed citations
11.
Pan, Yongjun, et al.. (2024). Cloud-based battery failure prediction and early warning using multi-source signals and machine learning. Journal of Energy Storage. 93. 112004–112004. 9 indexed citations
12.
Pan, Yongjun, et al.. (2023). Deep learning-based vibration stress and fatigue-life prediction of a battery-pack system. Applied Energy. 357. 122481–122481. 11 indexed citations
13.
Huang, Yuqi, et al.. (2023). Investigation into the effects of emergency spray on thermal runaway propagation within lithium-ion batteries. Journal of Energy Storage. 66. 107505–107505. 23 indexed citations
14.
Zhang, Xiaoxi, et al.. (2023). Deep-learning-based inverse structural design of a battery-pack system. Reliability Engineering & System Safety. 238. 109464–109464. 17 indexed citations
15.
Pan, Yongjun, et al.. (2023). Data-driven modelling and evaluation of a battery-pack system’s mechanical safety against bottom cone impact. Energy. 290. 130145–130145. 15 indexed citations
16.
Zhang, Xiaoxi, et al.. (2023). Crushing stress and vibration fatigue-life optimization of a battery-pack system. Structural and Multidisciplinary Optimization. 66(3). 49 indexed citations
17.
Liu, Yue, et al.. (2022). Internal Short Circuit Behaviors of Lithium Metal Batteries Under Mechanical Abuse Loading. SSRN Electronic Journal. 1 indexed citations
18.
Liu, Binghe, Xudong Duan, Chunhao Yuan, et al.. (2021). Quantifying and modeling of stress-driven short-circuits in lithium-ion batteries in electrified vehicles. Journal of Materials Chemistry A. 9(11). 7102–7113. 65 indexed citations
19.
Jia, Yikai, et al.. (2020). Safety issues of defective lithium-ion batteries: identification and risk evaluation. Journal of Materials Chemistry A. 8(25). 12472–12484. 98 indexed citations
20.
Yin, Sha, Binghe Liu, Kangpei Meng, et al.. (2016). Honeytubes: Hollow lattice truss reinforced honeycombs for crushing protection. Composite Structures. 160. 1147–1154. 74 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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