Dan Hua

40 papers receiving 1.9k citations

Dan Hua's Hit Papers

Precise Molecular Sieving Architectures with Janus Pathways for Both Polar and Nonpolar Molecules 2018 · 340 citations
3400+2+5Years since publication100200300

Peers

Dan Hua
Comparison fields: 5 of 69
  • Water Science and Technology 1.2k
  • Mechanical Engineering 1.0k
  • Biomedical Engineering 862
  • Materials Chemistry 667
  • Inorganic Chemistry 199
Replace Mohammad Ali Aroon with:
Mohammad Ali Aroon Iran
Shuai Quan China
Claudia Staudt Germany
Can Zeng Liang Singapore
Xianshe Feng Canada
Joanna Sreńscek-Nazzal Poland
Putu Doddy Sutrisna Indonesia
Urooj Kamran South Korea
Mohd Sufri Mastuli Malaysia
Mohammad Rostamizadeh Iran
Dan Hua relative to Mohammad Ali Aroon Iran Mohammad Ali Aroon's profile →
Citations per field
00.5×2.6×
Mohammad Ali Aroon · 1×
Citations per year

Countries citing papers authored by Dan Hua

Since Specialization
Citations

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

Fields of papers citing papers by Dan Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dan Hua, 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 Dan Hua Line = papers co-authored together Dan Hua links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Precise Molecular Sieving Architectures with Janus Pathways for Both Polar and Nonpolar Molecules
Hit paper breakdown →
2018340
2 2013156
3 2017141
4 2017123
5 2017102
6 201682
7 201781
8 201974
9 202062
10 202155
11 201847
12 202147
13 202240
14 202340
15 201939
16 201239
17 202239
18 202036
19 201436
20 201532

About Dan Hua

Dan Hua is a scholar working on Mechanical Engineering, Water Science and Technology, Biomedical Engineering, Materials Chemistry and Mechanics of Materials, having authored 40 papers that have together received 1.9k indexed citations. Recurring topics across this work include Membrane Separation Technologies (23 papers), Membrane Separation and Gas Transport (21 papers), Membrane-based Ion Separation Techniques (11 papers), Graphene research and applications (6 papers), Muon and positron interactions and applications (5 papers), Phase Equilibria and Thermodynamics (3 papers), Catalytic Processes in Materials Science (3 papers) and Graphene and Nanomaterials Applications (3 papers). The work is most often cited by research in Water Science and Technology (1.2k citations), Mechanical Engineering (1.0k citations), Biomedical Engineering (862 citations), Materials Chemistry (667 citations) and Inorganic Chemistry (199 citations). Dan Hua has collaborated with scholars based in China, Singapore and Ghana. Frequent co-authors include Tai‐Shung Chung, Susilo Japip, Yu Zhang, Guowu Zhan, Mohammad Hossein Davood Abadi Farahani, Jiangtao Liu, Yee Kang Ong, Ayan Yao, Kai Yu Wang and Yan Wang. Their work appears in journals such as Journal of Membrane Science, Separation and Purification Technology, The Journal of Supercritical Fluids, Fluid Phase Equilibria and AIChE Journal.

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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