Hai Cao

1.9k citations
34 papers · 1.6k · h-index 17

Impact in

    • Supramolecular Self-Assembly in Materials
    • Polydiacetylene-based materials and applications
    • Synthesis and Properties of Aromatic Compounds
    • Supramolecular Chemistry and Complexes

Papers in

Hai Cao

33 papers receiving 1.6k citations

Peers

Hai Cao
Comparison fields: 5 of 69
  • Biomaterials 807
  • Organic Chemistry 638
  • Materials Chemistry 669
  • Spectroscopy 156
  • Cellular and Molecular Neuroscience 161
Replace Zhaocun Shen with:
Zhaocun Shen China
Chenming Xue United States
Gad Fuks France
Daigo Miyajima Japan
Xuyang Yao China
José Augusto Berrocal Netherlands
Jaap J. D. de Jong Netherlands
Pintu K. Kundu India
Seiichi Furumi Japan
Hai Cao relative to Zhaocun Shen China Zhaocun Shen's profile →
Citations per field
00.5×1.5×2.0×
Zhaocun Shen · 1×
Citations per year

Countries citing papers authored by Hai Cao

Since Specialization
Citations

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

Fields of papers citing papers by Hai Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016223
2 2014218
3 2014200
4 2013143
5 2011135
6 2016107
7 201285
8 202084
9 201363
10 201450
11 201245
12 201140
13 201839
14 201335
15 201626
16 201617
17 200917
18 201716
19 201815
20 202114

About Hai Cao

Hai Cao is a scholar working on Biomedical Engineering, Materials Chemistry, Biomaterials, Electrical and Electronic Engineering and Organic Chemistry, having authored 34 papers that have together received 1.6k indexed citations. Recurring topics across this work include Surface Chemistry and Catalysis (15 papers), Supramolecular Self-Assembly in Materials (13 papers), Molecular Junctions and Nanostructures (5 papers), Polydiacetylene-based materials and applications (5 papers), Spectroscopy and Quantum Chemical Studies (5 papers), Photochromic and Fluorescence Chemistry (3 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Nanocluster Synthesis and Applications (2 papers). The work is most often cited by research in Biomaterials (807 citations), Organic Chemistry (638 citations), Materials Chemistry (669 citations), Spectroscopy (156 citations) and Cellular and Molecular Neuroscience (161 citations). Hai Cao has collaborated with scholars based in China, Belgium and Japan. Frequent co-authors include Minghua Liu, Li Zhang, Xuefeng Zhu, Pengfei Duan, Xiufeng Wang, Steven De Feyter, Long Qin, Qingxian Jin, Ping Feng and Yanghui Liu. Their work appears in journals such as Dalton Transactions, The Journal of Physical Chemistry C, Langmuir, Chemical Communications and Soft Matter.

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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