Ashley Fly

1.3k total citations · 1 hit paper
33 papers, 947 citations indexed

About

Ashley Fly is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Ashley Fly has authored 33 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Electrical and Electronic Engineering, 21 papers in Automotive Engineering and 8 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Ashley Fly's work include Advanced Battery Technologies Research (20 papers), Fuel Cells and Related Materials (15 papers) and Advancements in Battery Materials (13 papers). Ashley Fly is often cited by papers focused on Advanced Battery Technologies Research (20 papers), Fuel Cells and Related Materials (15 papers) and Advancements in Battery Materials (13 papers). Ashley Fly collaborates with scholars based in United Kingdom, India and China. Ashley Fly's co-authors include R. H. Thring, Tamanna Shams, Probir Kumar Roy, Mohammad Shahjalal, Jahedul Islam Chowdhury, Kailong Liu, Md Rishad Ahmed, Rui Chen, Michael Whiteley and Matt C. Best and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of Power Sources.

In The Last Decade

Ashley Fly

32 papers receiving 914 citations

Hit Papers

A review on second-life of Li-ion batteries: prospects, c... 2021 2026 2022 2024 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ashley Fly United Kingdom 15 799 467 227 154 152 33 947
Maji Luo China 19 660 0.8× 439 0.9× 266 1.2× 174 1.1× 157 1.0× 49 975
Dong Kyu Kim South Korea 22 974 1.2× 416 0.9× 268 1.2× 227 1.5× 194 1.3× 60 1.3k
Yossapong Laoonual Thailand 15 676 0.8× 655 1.4× 53 0.2× 117 0.8× 84 0.6× 35 1.0k
Maan Al‐Zareer Canada 25 996 1.2× 1.0k 2.2× 150 0.7× 504 3.3× 171 1.1× 41 1.7k
Hao Ge China 16 972 1.2× 594 1.3× 231 1.0× 81 0.5× 177 1.2× 37 1.3k
Zhanfeng Deng China 19 1.1k 1.3× 282 0.6× 430 1.9× 365 2.4× 329 2.2× 90 1.6k
Jingchang Li China 19 457 0.6× 217 0.5× 59 0.3× 336 2.2× 122 0.8× 40 909
Fangming Jiang China 21 1.8k 2.3× 1.3k 2.8× 595 2.6× 215 1.4× 260 1.7× 47 2.1k
Zhoujian An China 19 754 0.9× 764 1.6× 92 0.4× 331 2.1× 42 0.3× 55 1.2k

Countries citing papers authored by Ashley Fly

Since Specialization
Citations

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

Fields of papers citing papers by Ashley Fly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashley Fly

This figure shows the co-authorship network connecting the top 25 collaborators of Ashley Fly. A scholar is included among the top collaborators of Ashley Fly 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 Ashley Fly. Ashley Fly 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.
Fly, Ashley, et al.. (2025). Influence of periodic temperature variations on calendar ageing of lithium-ion batteries. Journal of Power Sources. 657. 238147–238147. 1 indexed citations
2.
Wei, Zhongbao, et al.. (2025). Early prediction of lithium-ion battery degradation with a generative pre-trained transformer. Nature Communications. 17(1). 126–126.
3.
Fu, Pengyu, Xiao Hu, Zhongbao Wei, et al.. (2025). Toward advanced estimation of state of health for integral lithium-ion battery pack. Cell Reports Physical Science. 6(1). 102363–102363. 2 indexed citations
4.
Long, E. J., et al.. (2024). Insights Into Lithium‐Ion Battery Cell Temperature and State of Charge Using Dynamic Electrochemical Impedance Spectroscopy. International Journal of Energy Research. 2024(1). 1 indexed citations
5.
Fu, Xin, Zhengfeng Fan, Shangfeng Jiang, et al.. (2024). Durability Oriented Fuel Cell Electric Vehicle Energy Management Strategies Based on Vehicle Drive Cycles. Energies. 17(22). 5721–5721. 1 indexed citations
6.
Chen, Xiangjie, et al.. (2023). A Fast Activation Energy Derivation (FAED) approach for Lumped Single Particle model in lithium-ion battery module-level heat generation prediction. Journal of Power Sources. 580. 233431–233431. 4 indexed citations
7.
Roy, Probir Kumar, Mohammad Shahjalal, Tamanna Shams, et al.. (2023). A Critical Review on Battery Aging and State Estimation Technologies of Lithium-Ion Batteries: Prospects and Issues. Electronics. 12(19). 4105–4105. 9 indexed citations
10.
Fly, Ashley, et al.. (2022). Influence of geometrical manufacturing tolerances on lithium‐ion battery performance. International Journal of Energy Research. 46(15). 23824–23838. 4 indexed citations
11.
Fly, Ashley, et al.. (2022). Temperature dependency of diagnostic methods in lithium-ion batteries. Journal of Energy Storage. 52. 104721–104721. 23 indexed citations
12.
Steffen, Thomas, Ashley Fly, & Richard Stobart. (2022). Project-Based Learning for Control of Hybrid Powertrains using a Simulation Model. IFAC-PapersOnLine. 55(17). 25–30. 3 indexed citations
13.
Fly, Ashley, et al.. (2022). Parameter sensitivity analysis of a physico-chemical lithium-ion battery model with combined discharge voltage and electrochemical impedance data. Journal of Power Sources. 527. 231125–231125. 26 indexed citations
14.
Fly, Ashley, et al.. (2021). Low temperature performance evaluation of electrochemical energy storage technologies. Applied Thermal Engineering. 189. 116750–116750. 39 indexed citations
15.
Karthikeyan, P., S. Neelakrishnan, Ramasamy Manoharan, et al.. (2019). Experimental investigation on DMFCs using reduced noble metal loading with NiTiO3 as supportive material to enhance cell performances. International Journal of Hydrogen Energy. 44(26). 13415–13423. 25 indexed citations
16.
Fly, Ashley, Quentin Meyer, Michael Whiteley, et al.. (2018). Characterisation of the diffusion properties of metal foam hybrid flow-fields for fuel cells using optical flow visualisation and X-ray computed tomography. Journal of Power Sources. 395. 171–178. 40 indexed citations
17.
Whiteley, Michael, et al.. (2017). The effects of gas diffusion layers structure on water transportation using X-ray computed tomography based Lattice Boltzmann method. Journal of Power Sources. 378. 53–65. 64 indexed citations
18.
Fly, Ashley & R. H. Thring. (2016). A comparison of evaporative and liquid cooling methods for fuel cell vehicles. International Journal of Hydrogen Energy. 41(32). 14217–14229. 89 indexed citations
19.
Whiteley, Michael, et al.. (2015). Advanced reliability analysis of Polymer Electrolyte Membrane Fuel Cells using Petri-Net analysis and fuel cell modelling techniques. International Journal of Hydrogen Energy. 40(35). 11550–11558. 21 indexed citations
20.
Fly, Ashley & R. H. Thring. (2014). Condensation of Water from Saturated Air in a Compact Plate Condenser with Application to Water Balance in Proton Exchange Membrane Fuel Cell Systems. Proceedings of the 15th International Heat Transfer Conference. 1 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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