The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Meihong Wang sits on this spectrum.
This scientist: 160 publications — 31st percentile
31% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 804 publications or more.
The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Meihong Wang sits on this spectrum.
This scientist: 52 D-Index — 64th percentile
64% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 107 D-Index or more.
Meihong Wang is affiliated with the University of Sheffield in the United Kingdom and specializes in engineering, particularly in mechanical engineering, artificial intelligence, control and systems engineering, biomedical engineering, and catalysis. Their research primarily focuses on carbon dioxide capture technologies, phase equilibria and thermodynamics, process optimization and integration, catalysts for methane reforming, quantum information and cryptography, advanced control systems optimization, and thermodynamic and exergetic analyses of power and cooling systems.
Wang's recent publication record includes significant contributions to topics related to carbon capture and utilization, as reflected in several papers published between 2020 and 2023. Notable recent papers include:
These papers indicate Wang's engagement with various aspects of CO2 capture and conversion, machine learning methodologies applied to carbon capture, catalyst development, and biomass and plastics processing for hydrogen production.
Wang frequently collaborates with several researchers, most notably:
Their work has been published in a range of venues, with repeated contributions to the following journals and platforms:
Meihong Wang's scholarly output is primarily situated within the discipline of engineering and extends across interdisciplinary subfields. Their research integrates mechanical engineering principles with data-driven approaches such as artificial intelligence and advanced control systems to address challenges related to energy, catalysis, and carbon management.
Mathew Aneke;Meihong Wang
Meihong Wang;Adekola Lawal;Peter Stephenson;J. Sidders
Meihong Wang;Atuman S. Joel;Colin Ramshaw;Dag Eimer
Ariane D.N. Kamkeng;Meihong Wang;Jun Hu;Wenli Du
Tohid N.Borhani;Meihong Wang
Adekola Lawal;Meihong Wang;Peter Stephenson;Hoi Yeung
Yongliang Yan;Yongliang Yan;Tohid N. Borhani;Sai Gokul Subraveti;Kasturi Nagesh Pai
Adekola Lawal;Meihong Wang;Peter Stephenson;G. Koumpouras
Yue Chai;Ningbo Gao;Meihong Wang;Chunfei Wu
Adekola Lawal;Meihong Wang;Peter Stephenson;Okwose Obi
Bin Shao;Guihua Hu;Khalil A. M. Alkebsi;Guanghua Ye
Xiaobo Luo;Meihong Wang
Olumide Olumayegun;Meihong Wang;Greg Kelsall
Xiao Wu;Meihong Wang;Peizhi Liao;Jiong Shen
Mathew Aneke;Meihong Wang
Chechet Biliyok;Adekola Lawal;Meihong Wang;Frank Seibert
Yue Chai;Yue Chai;Meihong Wang;Ningbo Gao;Yihang Duan
Olumide Olumayegun;Meihong Wang
Boyang Xue;Yanmei Yu;Jian Chen;Xiaobo Luo
Ariane D.N. Kamkeng;Meihong Wang
Xiaobo Luo;Meihong Wang;Jian Chen
Atuman Samaila Joel;Meihong Wang;C. Ramshaw;Eni Oko
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