Weiwei Yang

6.3k total citations
186 papers, 5.2k citations indexed

About

Weiwei Yang is a scholar working on Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment and Automotive Engineering. According to data from OpenAlex, Weiwei Yang has authored 186 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Electrical and Electronic Engineering, 61 papers in Renewable Energy, Sustainability and the Environment and 38 papers in Automotive Engineering. Recurrent topics in Weiwei Yang's work include Advanced battery technologies research (48 papers), Electrocatalysts for Energy Conversion (40 papers) and Advanced Battery Technologies Research (37 papers). Weiwei Yang is often cited by papers focused on Advanced battery technologies research (48 papers), Electrocatalysts for Energy Conversion (40 papers) and Advanced Battery Technologies Research (37 papers). Weiwei Yang collaborates with scholars based in China, Hong Kong and United States. Weiwei Yang's co-authors include Tianshou Zhao, Ya‐Ling He, Rong Chen, Xin-Yuan Tang, Chao Xu, Yinshi Li, Qian Xu, Zhiguo Qu, Xiao-Shuai Bai and Yu-Hang Jiao and has published in prestigious journals such as Physical Review Letters, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Weiwei Yang

176 papers receiving 5.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weiwei Yang China 41 3.2k 2.4k 1.3k 1.0k 836 186 5.2k
Thomas Turek Germany 44 3.1k 1.0× 1.9k 0.8× 2.3k 1.8× 1.4k 1.4× 1.1k 1.3× 242 7.2k
A.M. Kannan United States 49 5.6k 1.7× 4.9k 2.1× 2.2k 1.7× 2.5k 2.5× 1.1k 1.3× 172 9.6k
Ulrike Krewer Germany 41 3.8k 1.2× 2.0k 0.8× 1.0k 0.8× 392 0.4× 1.8k 2.1× 176 5.4k
Brant A. Peppley Canada 39 5.3k 1.6× 3.9k 1.6× 2.9k 2.2× 868 0.9× 1.4k 1.6× 108 7.8k
Amornchai Arpornwichanop Thailand 40 1.8k 0.6× 1.1k 0.5× 1.9k 1.5× 1.1k 1.1× 491 0.6× 236 5.2k
Junfeng Zhang China 40 4.1k 1.3× 3.3k 1.4× 1.8k 1.4× 766 0.8× 272 0.3× 184 6.5k
Lei Xing China 38 3.3k 1.0× 3.3k 1.4× 1.5k 1.2× 418 0.4× 340 0.4× 193 5.1k
Zhengkai Tu China 54 7.4k 2.3× 5.4k 2.3× 2.9k 2.2× 1.3k 1.3× 1.4k 1.7× 269 9.3k
Huizhi Wang United Kingdom 32 4.3k 1.3× 2.1k 0.9× 1.3k 1.0× 398 0.4× 1.7k 2.0× 101 5.5k
Lin Gao China 42 2.6k 0.8× 1.1k 0.5× 1.4k 1.1× 1.1k 1.1× 319 0.4× 173 5.2k

Countries citing papers authored by Weiwei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Weiwei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiwei Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Weiwei Yang. A scholar is included among the top collaborators of Weiwei 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 Weiwei Yang. Weiwei Yang 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.
Liu, Zhao, et al.. (2025). Gradient catalyst layer design for low-Pt-loading PEM fuel cell based on artificial neural network and multi-objective optimization. International Journal of Hydrogen Energy. 141. 650–664. 7 indexed citations
2.
Lü, Ping, Zihan Zhang, Qiang Ma, et al.. (2025). Effectively enhancing the performance of solar flow battery via constructing TiO2-g-C3N4 heterojunction photoanode. Journal of Power Sources. 640. 236696–236696. 2 indexed citations
3.
Gao, Wei, et al.. (2025). Multi-step numerical method for the hydrogen storage performance optimisation of metal hydride reactors. Journal of Energy Storage. 133. 118000–118000. 1 indexed citations
4.
Tang, Xin-Yuan, Weiwei Yang, Jiachen Li, Jiarui Zhang, & Yu‐Sheng Lin. (2025). Stable and efficient hybrid controller of solar thermal membrane reactor based on machine learning and multi-objective optimization. Energy. 320. 135217–135217. 2 indexed citations
5.
Tang, Xin-Yuan, et al.. (2024). Deep learning performance prediction for solar-thermal-driven hydrogen production membrane reactor via bayesian optimized LSTM. International Journal of Hydrogen Energy. 82. 1402–1412. 11 indexed citations
6.
Bai, Xiao-Shuai, et al.. (2024). Heat transfer optimization for MH reactor using combined taguchi design and data-driven optimization method. Energy. 307. 132689–132689. 4 indexed citations
7.
Lu, Mengyue, et al.. (2024). Validation of 3D multi-physics equivalent resistance network model with flow field for VRFB stack and battery scale-up analysis. Journal of Energy Storage. 90. 111768–111768. 6 indexed citations
8.
Yang, Weiwei, et al.. (2024). Novel flow field design for redox flow battery using algorithmic channel generation and self-adaptive network model and experimental verification. Chemical Engineering Journal. 499. 156346–156346. 5 indexed citations
9.
Yang, Weiwei, Xin-Yuan Tang, Xu Ma, Xiangkun Elvis Cao, & Ya‐Ling He. (2024). Synergistic intensification of palladium-based membrane reactors for hydrogen production: A review. Energy Conversion and Management. 325. 119424–119424. 3 indexed citations
10.
11.
Huang, Liang-Hao, et al.. (2024). Patient-focused programable release indomethacin tablets prepared via conjugation of hot melt extrusion (HME) and fused depositional modeling (FDM) -3D printing technologies. Journal of Drug Delivery Science and Technology. 97. 105797–105797. 5 indexed citations
12.
13.
Lu, Mengyue, Yin Chen, Qiang Ma, et al.. (2024). Flow field structure design for redox flow battery: Developments and Prospects. Journal of Energy Storage. 95. 112303–112303. 12 indexed citations
14.
Bai, Xiao-Shuai, et al.. (2023). Effective thermal conductivity of metal hydride particle bed: Theoretical model and experimental validation. Energy. 271. 127085–127085. 12 indexed citations
15.
Yang, Weiwei, et al.. (2023). Theoretical analysis of a solar membrane reactor with enhanced mass transfer by using helical inserts. Energy Conversion and Management. 283. 116885–116885. 19 indexed citations
16.
Lu, Mengyue, et al.. (2023). Design of parallel double-chain fibrous electrode using electrospinning technique for vanadium redox flow battery with boosted performance. Electrochimica Acta. 470. 143219–143219. 7 indexed citations
17.
Yang, Weiwei, et al.. (2023). Review on developments of catalytic system for methanol steam reforming from the perspective of energy-mass conversion. Fuel. 345. 128234–128234. 54 indexed citations
18.
Yang, Weiwei, et al.. (2023). Performance improvement of a solar volumetric reactor with passive thermal management under different solar radiation conditions. International Journal of Hydrogen Energy. 48(53). 20193–20207. 16 indexed citations
19.
Yang, Weiwei, Xin-Yuan Tang, Xu Ma, et al.. (2023). Rapid prediction, optimization and design of solar membrane reactor by data-driven surrogate model. Energy. 285. 129432–129432. 10 indexed citations
20.
Tang, Xin-Yuan, Weiwei Yang, Xu Ma, & Ya‐Ling He. (2023). Synergistic enhancement of reaction and separation for a solar membrane reactor by topology optimization of catalyst bed. Chemical Engineering Journal. 472. 145123–145123. 15 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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