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):
-
SDG 3 Good Health and Well-being -
SDG 7 Affordable and Clean Energy -
SDG 10 Reduced Inequalities -
SDG 12 Responsible Consumption and Production -
SDG 13 Climate Action -
SDG 14 Life Below Water
Fingerprint
Dive into the research topics where Meihong Wang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Optimal scheduling of low-carbon ethylene production system based on deep reinforcement learning: Considering flexible operation under furnace coking and renewable energy fluctuations
Zheng, C., Zhang, Y., Sha, P., Wang, M. & Wu, X., 1 Jan 2026, In: Energy. 342, 139780.Research output: Contribution to journal › Article › peer-review
-
A Hierarchical Task Graph Parallel Computing Framework for Chemical Process Simulation
Qu, S., Yang, S., Du, W., Duan, Z., Qian, F. & Wang, M., Aug 2025, In: Engineering. 51, p. 229-239 11 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Dynamic modeling of post-combustion carbon capture process based on multi-gate mixture-of-experts incorporating dual-stage attention-based encoder-decoder network
Zheng, C., Sha, P., Mo, Z., Tang, Z., Wang, M. & Wu, X., 15 Jan 2025, In: Applied Thermal Engineering. 258, 124838.Research output: Contribution to journal › Article › peer-review
7 Scopus citations -
Energy, exergy, environmental and economic analysis of solvent-based post-combustion carbon capture for ethylene production
Dong, Z., Liu, Y., Ma, J., Ding, Y., Oko, E., Wang, M., Du, W. & Qian, F., 22 Jun 2025, In: Separation and Purification Technology. 359, 130636.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
Modeling of propane thermal cracking process via physics-informed neural networks with process-consistent constraints
Sha, P., Zhang, Y., Wu, X., Wang, M. & Shen, J., 1 Oct 2025, In: Energy. 333, 137561.Research output: Contribution to journal › Article › peer-review
2 Scopus citations