Yuming Shi

685 citations
8 papers · 598 indexed · h-index 7
Topics
Machine Learning in Materials Science (2 papers)Carbon dioxide utilization in catalysis (2 papers)Covalent Organic Framework Applications (2 papers)
Partner nations
ChinaUnited States

In The Last Decade

Yuming Shi

8 papers receiving 597 citations

Peers

Yuming Shi
Comparison fields: 5 of 38
  • Process Chemistry and Technology 386
  • Materials Chemistry 240
  • Renewable Energy, Sustainability and the Environment 239
  • Inorganic Chemistry 198
  • Catalysis 182
Replace W. K. Offermans with:
W. K. Offermans Netherlands
Siu-Wa Ting Hong Kong
Scott R. Docherty Switzerland
Kellie Jenkinson Belgium
María C. Curet-Arana Puerto Rico
K. S. Sandhya India
Ruhksana Quyoum United Kingdom
Yanqiang Huang China
Miguel T. Galante Brazil
Yi‐Hua Zhang China
Yuming Shi relative to W. K. Offermans Netherlands W. K. Offermans's profile →
Citations per field
00.5×3.4×
W. K. Offermans · 1×
Citations per year

Countries citing papers authored by Yuming Shi

Since Specialization
Citations

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

Fields of papers citing papers by Yuming Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuming Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Yuming Shi. A scholar is included among the top collaborators of Yuming Shi 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 Yuming Shi. Yuming Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 17
2 52
3 7
4 28
5 217
6 31
7 2
8 244

About Yuming Shi

Yuming Shi is a scholar working on Process Chemistry and Technology, Catalysis and Renewable Energy, Sustainability and the Environment, having authored 8 papers that have together received 598 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (2 papers), Carbon dioxide utilization in catalysis (2 papers) and Covalent Organic Framework Applications (2 papers). The work is most often cited by research in Process Chemistry and Technology (386 citations), Catalysis (182 citations) and Renewable Energy, Sustainability and the Environment (239 citations). Yuming Shi has collaborated with scholars based in China and United States. Frequent co-authors include Yu Zhou, Zengjing Guo, Jun Wang, Jing Li, Xiaochen Wang, Adam Wasserman, Yangqing Liu, Guojian Chen, Xiaoning Yang and Wei Hou. Their work appears in journals such as ACS Catalysis, Chemical Physics Letters and The Journal of Physical Chemistry Letters.

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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