Fangfang Yang

6.5k total citations · 3 hit papers
114 papers, 5.1k citations indexed

About

Fangfang Yang is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Control and Systems Engineering. According to data from OpenAlex, Fangfang Yang has authored 114 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Electrical and Electronic Engineering, 47 papers in Automotive Engineering and 24 papers in Control and Systems Engineering. Recurrent topics in Fangfang Yang's work include Advanced Battery Technologies Research (47 papers), Advancements in Battery Materials (39 papers) and Reliability and Maintenance Optimization (19 papers). Fangfang Yang is often cited by papers focused on Advanced Battery Technologies Research (47 papers), Advancements in Battery Materials (39 papers) and Reliability and Maintenance Optimization (19 papers). Fangfang Yang collaborates with scholars based in China, Hong Kong and United States. Fangfang Yang's co-authors include Kwok‐Leung Tsui, Dong Wang, Weihua Li, Qiang Miao, Xiangbao Song, Fan Xu, Suk Joo Bae, Yang Zhao, Chuan Li and Zicheng Fei and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and Journal of Power Sources.

In The Last Decade

Fangfang Yang

112 papers receiving 5.0k citations

Hit Papers

align trajectories

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.

State-of-charge estimation of lithium-ion batteries based on gated recurrent neural network

2019 412 citations Fangfang Yang et al. Energy profile →
State-of-charge estimation of lithium-ion batteries using LSTM and UKF

2020 343 citations Fangfang Yang et al. Energy profile →
Metal–Organic Frameworks (MOF)-Assisted Sonodynamic Therapy in Anticancer Applications

2023 143 citations Fangfang Yang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fangfang Yang China	37	3.4k	3.3k	1.2k	908	385	114	5.1k
Weihan Li Germany	32	3.2k 0.9×	3.3k 1.0×	675 0.6×	323 0.4×	209 0.5×	71	4.2k
Jonghoon Kim South Korea	34	3.6k 1.1×	4.4k 1.3×	1.1k 1.0×	236 0.3×	246 0.6×	349	5.8k
Maitane Berecibar Belgium	41	6.6k 1.9×	6.6k 2.0×	980 0.8×	680 0.7×	189 0.5×	128	8.3k
Shichun Yang China	45	3.9k 1.1×	4.1k 1.2×	1.3k 1.1×	235 0.3×	199 0.5×	239	6.3k
Yonggang Liu China	46	4.6k 1.4×	3.8k 1.2×	1.4k 1.2×	402 0.4×	329 0.9×	307	6.6k
Zhongbao Wei China	58	8.6k 2.5×	8.4k 2.6×	1.7k 1.5×	596 0.7×	168 0.4×	192	10.3k
David A. Howey United Kingdom	42	6.8k 2.0×	7.3k 2.2×	1.4k 1.2×	654 0.7×	216 0.6×	147	8.8k
Yujie Wang China	50	7.3k 2.1×	6.8k 2.0×	1.8k 1.5×	880 1.0×	116 0.3×	155	8.5k
Molla Shahadat Hossain Lipu Malaysia	43	5.7k 1.7×	7.0k 2.1×	2.2k 1.9×	499 0.5×	138 0.4×	160	9.0k
Haifeng Dai China	58	9.0k 2.6×	9.5k 2.9×	1.6k 1.4×	679 0.7×	248 0.6×	316	11.1k

Countries citing papers authored by Fangfang Yang

Since Specialization

Citations

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

Fields of papers citing papers by Fangfang Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangfang Yang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Xie, Donglai, Jiabin Chen, Jiwei Hou, et al.. (2025). Rational design of oxygen vacancy-rich self-supporting NiCo(OH)2 electrode for efficient biomass upgrading. Journal of Energy Chemistry. 108. 558–566. 1 indexed citations

Zhen-feng, LU, et al.. (2025). Battery State of Health Estimation Based on Energy Features and ResNet‐SVR Model. Quality and Reliability Engineering International. 41(5). 1789–1803. 3 indexed citations

Yang, Fangfang, Jieyu Zhang, Li Wang, & Shufeng Liu. (2025). Single-Particle Collision Electrochemical Biosensor Developed by a Typical Alkaline Phosphatase-Catalyzed Silver Deposition Reaction. ACS Sensors. 10(4). 3170–3179. 4 indexed citations

Xie, Min, et al.. (2024). Early battery lifetime prediction based on statistical health features and box-cox transformation. Journal of Energy Storage. 96. 112594–112594. 5 indexed citations

He, Zhongming, Yuetan Ma, Huanan Yu, et al.. (2024). Synergistic enhancement of rheological and anti-aging properties of asphalt modified with bio-oil and layered silicate. Case Studies in Construction Materials. 21. e03568–e03568. 6 indexed citations

Yang, Fangfang, et al.. (2024). State-of-health estimation for lithium-ion batteries based on Kullback–Leibler divergence and a retentive network. Applied Energy. 376. 124266–124266. 6 indexed citations

Zhang, Chenyu, et al.. (2024). Optimizing shear-dominant stripping with controlled stress for efficient recovery of cathode active materials from spent lithium-ion batteries. Journal of Cleaner Production. 467. 142911–142911. 5 indexed citations

Yang, Fangfang, et al.. (2024). State of Health Estimation for Second-Life Lithium-Ion Batteries in Energy Storage System With Partial Charging-Discharging Workloads. IEEE Transactions on Industrial Electronics. 71(10). 13178–13188. 15 indexed citations

Fan, Yuqian, et al.. (2024). Integrated framework for battery cell state-of-health estimation in complex modules: Combining current distribution analysis and novel terminal voltage estimation L-EKF modeling. Energy. 314. 134258–134258. 3 indexed citations

10.

Yang, Fangfang, et al.. (2024). DIABLO: A 6-DoF Wheeled Bipedal Robot Composed Entirely of Direct-Drive Joints. 3605–3612. 3 indexed citations

11.

Peng, Weiwen, et al.. (2024). An LSTM-SA model for SOC estimation of lithium-ion batteries under various temperatures and aging levels. Journal of Energy Storage. 84. 110906–110906. 36 indexed citations

12.

Yang, Fangfang, et al.. (2023). A power model considering initial battery state for remaining useful life prediction of lithium-ion batteries. Reliability Engineering & System Safety. 237. 109361–109361. 29 indexed citations

13.

Zhen-feng, LU, Zicheng Fei, Benfei Wang, & Fangfang Yang. (2023). A feature fusion-based convolutional neural network for battery state-of-health estimation with mining of partial voltage curve. Energy. 288. 129690–129690. 36 indexed citations

14.

Meng, Jinhao, et al.. (2023). State of health estimation of lithium-ion battery considering sensor uncertainty. Journal of Energy Storage. 72. 108667–108667. 8 indexed citations

15.

Fei, Zicheng, Zijun Zhang, Fangfang Yang, & Kwok‐Leung Tsui. (2023). Deep learning powered rapid lifetime classification of lithium-ion batteries. eTransportation. 18. 100286–100286. 20 indexed citations

16.

Wang, Zhe, et al.. (2023). Capacity estimation of lithium-ion batteries based on data aggregation and feature fusion via graph neural network. Applied Energy. 336. 120808–120808. 53 indexed citations

17.

Fei, Zicheng, Zijun Zhang, Fangfang Yang, & Kwok‐Leung Tsui. (2023). A deep attention-assisted and memory-augmented temporal convolutional network based model for rapid lithium-ion battery remaining useful life predictions with limited data. Journal of Energy Storage. 62. 106903–106903. 42 indexed citations

18.

Zhao, Yu, Xingwu Zhang, Fangfang Yang, et al.. (2023). Decision Boundary Expansion For Open Set Fault Diagnosis. 9. 1–6. 1 indexed citations

19.

Yang, Fangfang, Pierre Rousselot‐Pailley, Cendrine Nicoletti, et al.. (2023). Controlled Immobilization of a Palladium Complex/Laccase Hybrid into a Macrocellular Siliceous Host. ChemPlusChem. 88(5). e202300156–e202300156. 2 indexed citations

20.

Yang, Fangfang, Weifeng Zhang, Xiaoyu Ma, & Daijun Zhang. (2022). Ultrafine Bi Nanoparticles Confined in Hydrothermal Carbon-Modified Carbon Nanotubes for Highly Efficient CO ₂ Electroreduction to Formate. Journal of The Electrochemical Society. 169(4). 44524–44524. 3 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