Dai Tang

787 citations
27 papers · 650 · h-index 17

Impact in

    • Metal-Organic Frameworks: Synthesis and Applications
    • Machine Learning in Materials Science
    • Covalent Organic Framework Applications
    • Graphene research and applications
    • Carbon Nanotubes in Composites

Papers in

    • Machine Learning in Materials Science 6
    • Graphene research and applications 4
    • Covalent Organic Framework Applications 3
    • Nanopore and Nanochannel Transport Studies 8
    • Membrane-based Ion Separation Techniques 7
    • Phase Equilibria and Thermodynamics 3

Dai Tang

26 papers receiving 645 citations

Peers

Dai Tang
Comparison fields: 5 of 68
  • Inorganic Chemistry 286
  • Materials Chemistry 377
  • Process Chemistry and Technology 16
  • Water Science and Technology 76
  • Catalysis 31
Replace Mansi S. Shah with:
Mansi S. Shah United States
Pengpeng Sang China
Amir H. Farmahini United Kingdom
R. Bruce Eldridge United States
Zheng Lin China
Federico Brandani France
Yichong Chen United States
Salomón Cordero-Sánchez Mexico
N.O. Lemcoff Argentina
Dai Tang relative to Mansi S. Shah United States Mansi S. Shah's profile →
Citations per field
00.5×3.0×
Mansi S. Shah · 1×
Citations per year

Countries citing papers authored by Dai Tang

Since Specialization
Citations

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

Fields of papers citing papers by Dai Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dai Tang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dai Tang Line = papers co-authored together Dai Tang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202180
2 201851
3 200150
4 202243
5 201841
6 201939
7 202337
8 202134
9 202031
10 201629
11 201725
12 201422
13 202121
14 201521
15 201918
16 201018
17 201518
18 201516
19 202112
20 202410

About Dai Tang

Dai Tang is a scholar working on Materials Chemistry, Biomedical Engineering, Inorganic Chemistry, Electrical and Electronic Engineering and Mechanical Engineering, having authored 27 papers that have together received 650 indexed citations. Recurring topics across this work include Metal-Organic Frameworks: Synthesis and Applications (11 papers), Nanopore and Nanochannel Transport Studies (8 papers), Fuel Cells and Related Materials (8 papers), Membrane-based Ion Separation Techniques (7 papers), Machine Learning in Materials Science (6 papers), Graphene research and applications (4 papers), Covalent Organic Framework Applications (3 papers) and Phase Equilibria and Thermodynamics (3 papers). The work is most often cited by research in Inorganic Chemistry (286 citations), Materials Chemistry (377 citations), Process Chemistry and Technology (16 citations), Water Science and Technology (76 citations) and Catalysis (31 citations). Dai Tang has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include David S. Sholl, Daejoong Kim, Ross J. Verploegh, Coray M. Colina, Ying Wu, Farhad Gharagheizi, J. Ilja Siepmann, Randall Q. Snurr, Zhao Li and Yeong‐Eun Yoo. Their work appears in journals such as The Journal of Physical Chemistry C, The Journal of Physical Chemistry B, Chemical Physics, Chemical Engineering and Processing - Process Intensification and International Journal of Heat and Mass Transfer.

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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