Jing V. Wang

557 total citations
33 papers, 392 citations indexed

About

Jing V. Wang is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Computer Networks and Communications. According to data from OpenAlex, Jing V. Wang has authored 33 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Electrical and Electronic Engineering, 24 papers in Automotive Engineering and 6 papers in Computer Networks and Communications. Recurrent topics in Jing V. Wang's work include Advanced Battery Technologies Research (23 papers), Advancements in Battery Materials (22 papers) and Advanced Battery Materials and Technologies (12 papers). Jing V. Wang is often cited by papers focused on Advanced Battery Technologies Research (23 papers), Advancements in Battery Materials (22 papers) and Advanced Battery Materials and Technologies (12 papers). Jing V. Wang collaborates with scholars based in China, Hong Kong and Australia. Jing V. Wang's co-authors include Guorong Zhu, Jianqiang Kang, Chi K. Tse, Chi‐Tsun Cheng, Nuwan Ganganath, Qian Wang, Xinzhi Xu, Kui Xiang, Chaoyang Chen and Yulong Jia and has published in prestigious journals such as Journal of Power Sources, Electrochimica Acta and International Journal of Heat and Mass Transfer.

In The Last Decade

Jing V. Wang

28 papers receiving 370 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jing V. Wang China	13	282	240	75	65	55	33	392
Rouzbeh Reza Ahrabi Canada	8	393 1.4×	161 0.7×	173 2.3×	45 0.7×	28 0.5×	13	452
Yanglin Zhou China	7	233 0.8×	144 0.6×	86 1.1×	66 1.0×	15 0.3×	24	293
Foad Taghizadeh Australia	14	530 1.9×	219 0.9×	304 4.1×	35 0.5×	10 0.2×	54	596
Anjian Zhou China	10	273 1.0×	289 1.2×	110 1.5×	20 0.3×	9 0.2×	22	397
Robert Weissbach United States	10	291 1.0×	67 0.3×	187 2.5×	66 1.0×	8 0.1×	43	396
Mahdi Shaneh Iran	13	354 1.3×	97 0.4×	75 1.0×	52 0.8×	59 1.1×	34	456
Kithsiri Liyanage Japan	9	824 2.9×	419 1.7×	402 5.4×	41 0.6×	18 0.3×	30	871
Diego Mascarella Canada	13	437 1.5×	99 0.4×	224 3.0×	49 0.8×	7 0.1×	23	503
Bang Le-Huy Nguyen United States	9	206 0.7×	46 0.2×	136 1.8×	25 0.4×	8 0.1×	30	280

Countries citing papers authored by Jing V. Wang

Since Specialization

Citations

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

Fields of papers citing papers by Jing V. Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jing V. Wang. 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 Jing V. Wang. The network helps show where Jing V. Wang may publish in the future.

Co-authorship network of co-authors of Jing V. Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jing V. Wang. A scholar is included among the top collaborators of Jing V. Wang 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 Jing V. Wang. Jing V. Wang 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

Huang, K. X., et al.. (2025). State-of-Health Estimation for Lithium-Ion Batteries Based on Lightweight DimConv-GFNet. Batteries. 11(5). 174–174.

Zhu, Guorong, et al.. (2025). A simplified electrochemical lithium-ion batteries model based on physics-informed LSTM_Res network. International Journal of Heat and Mass Transfer. 246. 127024–127024.

Kang, Jianqiang, Zhichao Gong, Jing V. Wang, et al.. (2025). A novel method of parameter identification for electrochemical models of LiFePO4 batteries using parallel computing and multi-objective optimization. Journal of Energy Storage. 122. 116662–116662. 1 indexed citations

Zhu, Guorong, et al.. (2024). A simplified electrochemical model for lithium-ion batteries based on ensemble learning. iScience. 27(5). 109685–109685. 6 indexed citations

He, Wei, Tao Han, Haiqin Song, et al.. (2024). An extended single-particle model of lithium-ion batteries based on simplified solid-liquid diffusion process. iScience. 27(11). 110764–110764. 2 indexed citations

Kang, Jianqiang, Guang Yang, Yongsheng Wang, et al.. (2024). Study of aging mechanisms in LiFePO4 batteries with various SOC levels using the zero-sum pulse method. iScience. 27(7). 110287–110287. 3 indexed citations

Zhu, Guorong, et al.. (2023). A self-correction single particle model of lithium-ion battery based on multi-population genetic algorithm. Journal of Energy Storage. 71. 108005–108005. 12 indexed citations

Zhu, Guorong, et al.. (2023). The Modeling and SOC Estimation of a LiFePO4 Battery Considering the Relaxation and Overshoot of Polarization Voltage. Batteries. 9(7). 369–369. 7 indexed citations

Zhu, Guorong, et al.. (2023). A fractional-order electrochemical lithium-ion batteries model considering electrolyte polarization and aging mechanism for state of health estimation. Journal of Energy Storage. 72. 108649–108649. 39 indexed citations

10.

Song, Haiqin, et al.. (2023). An Extented Single Particle Method for Lithium-ion Batteries. 876–881. 1 indexed citations

11.

Wang, Jing V., et al.. (2023). The Impact of Regenerative Braking in Electric Vehicles to Energy-efficient Routing Performance. 135. 1–5. 1 indexed citations

12.

Song, Dawei, et al.. (2023). Lithium-Ion Battery Life Prediction Method under Thermal Gradient Conditions. Energies. 16(2). 767–767. 4 indexed citations

13.

Kang, Jianqiang, et al.. (2023). A SOC Correction Method Based on Unsynchronized Full Charge and Discharge Control Strategy in Multi-Branch Battery System. Energies. 16(17). 6287–6287. 1 indexed citations

14.

Zhu, Guorong, et al.. (2023). PCB Rogowski Coils for Capacitors Current Measurement in System Stability Enhancement. Electronics. 12(5). 1099–1099. 5 indexed citations

15.

Kang, Jianqiang, et al.. (2022). Blending fiber-shaped long-range conductive additives for better battery performance: Mechanism study based on heterogeneous electrode model. Journal of Power Sources. 542. 231746–231746. 17 indexed citations

16.

Zhu, Guorong, et al.. (2021). An algorithm for state of charge estimation based on a single-particle model. Journal of Energy Storage. 39. 102644–102644. 47 indexed citations

17.

Zhu, Guorong, et al.. (2020). Comparison of robustness of different state of charge estimation algorithms. Journal of Power Sources. 478. 228767–228767. 27 indexed citations

18.

Wang, Jing V., Chi‐Tsun Cheng, & Chi K. Tse. (2019). A thermal‐aware VM consolidation mechanism with outage avoidance. Software Practice and Experience. 49(5). 906–920. 6 indexed citations

19.

Wang, Jing V., Nuwan Ganganath, Chi‐Tsun Cheng, & Chi K. Tse. (2019). Bio-Inspired Heuristics for VM Consolidation in Cloud Data Centers. IEEE Systems Journal. 14(1). 152–163. 17 indexed citations

20.

Ganganath, Nuwan, Jing V. Wang, Xinzhi Xu, Chi‐Tsun Cheng, & Chi K. Tse. (2017). Agglomerative Clustering-Based Network Partitioning for Parallel Power System Restoration. IEEE Transactions on Industrial Informatics. 14(8). 3325–3333. 57 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