Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 6 Clean Water and Sanitation -
SDG 7 Affordable and Clean Energy -
SDG 12 Responsible Consumption and Production -
SDG 13 Climate Action -
SDG 14 Life Below Water -
SDG 15 Life on Land
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Collaborations and top research areas from the last five years
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A data-driven approach for rapid revealing of metal doping in MnO2 cathodes for high-performance aqueous zinc-ion batteries
Shan, Y., Xu, L., Sun, P., Zhu, Z., Wang, C., Li, J., Yang, G. & Pan, L., Jul 2026, In: Wuli Huaxue Xuebao/ Acta Physico - Chimica Sinica. 42, 7, 100232.Research output: Contribution to journal › Article › peer-review
2 Link opens in a new tab Scopus citations -
Advanced organic framework structures tailored for high-efficiency capacitive deionization: from molecular design to performance enhancement
Wang, H., Zhu, Y., Li, J., Li, Y., Liu, Y., Xu, X., Chen, Z., Liu, X. & Pan, L., 1 Jan 2026, In: Coordination Chemistry Reviews. 546, 217084.Research output: Contribution to journal › Review article › peer-review
Open Access7 Link opens in a new tab Scopus citations -
Atomic-mismatch-induced interstitial Bi doping in Nb2O5 networks: A synergistic electronic-structural strategy for ultrafast charge trapping and efficient photocatalysis
An, L., Zhao, H., Wang, K., Qian, J., Yang, Y., Zhang, F., Pan, L., Ni, T. & Liu, D., 15 Nov 2026, In: Journal of Colloid and Interface Science. 722, 140802.Research output: Contribution to journal › Article › peer-review
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Constructing dual-redox polyimides for enhanced hybrid capacitive deionization performance
Li, Y., Hong, Q., Wang, Q., Bian, Z., Fu, W., Ding, C., Pan, L. & Wang, X., 16 Apr 2026, In: Chemical Communications. 62, 29, p. 7611-7614 4 p.Research output: Contribution to journal › Article › peer-review
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Data-augmented machine learning for predicting biomass-derived hard carbon anode performance in sodium-ion batteries
Chen, G., Yang, Z., Sun, P., Li, J., Wang, C., Li, J., Yang, G. & Pan, L., Jun 2026, In: Journal of Energy Chemistry. 117, p. 70-80 11 p.Research output: Contribution to journal › Article › peer-review
3 Link opens in a new tab Scopus citations