Bingyin Hu

751 citations
9 papers · 659 indexed · 1 hit paper · h-index 6
Topics
Machine Learning in Materials Science (4 papers)Carbon Dioxide Capture Technologies (3 papers)Membrane Separation and Gas Transport (2 papers)
Partner nations
United StatesChina

In The Last Decade

Bingyin Hu

9 papers receiving 648 citations

Hit Papers

Granular Bamboo‐Derived Activated Carbon for High CO2 Ads...20122026201620212012100200300

Peers

Bingyin Hu
Comparison fields: 5 of 63
  • Mechanical Engineering 445
  • Biomedical Engineering 222
  • Materials Chemistry 201
  • Inorganic Chemistry 94
  • Electronic, Optical and Magnetic Materials 88
Replace Mengqi Liu with:
Mengqi Liu China
Marta G. Plaza Spain
Shaker Haji Bahrain
Guoxiong Wang China
Aniruddha A. Upadhye United States
Angus Shiue Taiwan
Avanish K. Tiwari India
Yuanyuan Shen China
Bingyin Hu relative to Mengqi Liu China Mengqi Liu's profile →
Citations per field
00.5×2.6×
Mengqi Liu · 1×
Citations per year

Countries citing papers authored by Bingyin Hu

Since Specialization
Citations

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

Fields of papers citing papers by Bingyin Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bingyin Hu

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 1
2 2
3 1
4 11
5 36
6 38
7 65
8 131
9
Granular Bamboo‐Derived Activated Carbon for High CO2 Adsorption: The Dominant Role of Narrow Microporesbreakdown →
374

About Bingyin Hu

Bingyin Hu is a scholar working on Surfaces, Coatings and Films, Computational Theory and Mathematics and Materials Chemistry, having authored 9 papers that have together received 659 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (4 papers), Carbon Dioxide Capture Technologies (3 papers) and Membrane Separation and Gas Transport (2 papers). The work is most often cited by research in Mechanical Engineering (445 citations), Process Chemistry and Technology (23 citations) and Inorganic Chemistry (94 citations). Bingyin Hu has collaborated with scholars based in United States and China. Frequent co-authors include Shubo Deng, Gang Yu, Jun Huang, Bin Wang, Zhenhe Chen, Haoran Wei, Haibo Zhai, Yujue Wang, Tao Chen and L. Catherine Brinson. Their work appears in journals such as Journal of the Mechanics and Physics of Solids, ChemSusChem and Polymers.

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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