Dehai Liang

6.6k citations
170 papers · 5.6k indexed · 1 hit paper · h-index 40

Impact in

Papers in

Dehai Liang

168 papers receiving 5.5k citations

Hit Papers

Functional electrospun nanofibrous scaffolds for biomedical applications 2007 · 760 citations
7602007202620132019250500750

Peers

Dehai Liang
Comparison fields: 5 of 133
  • Biomaterials 1.7k
  • Molecular Medicine 421
  • Surfaces, Coatings and Films 479
  • Polymers and Plastics 828
  • Organic Chemistry 1.7k
Replace Yoshiko Miura with:
Yoshiko Miura Japan
Guosong Chen China
Eduardo Mendes Netherlands
Stephanie Hoeppener Germany
Afang Zhang China
Amitav Sanyal Türkiye
Yingli An China
Tooru Ooya Japan
Marc Schmutz France
Christophe Schatz France
Dehai Liang relative to Yoshiko Miura Japan Yoshiko Miura's profile →
Citations per field
00.5×1.5×1.9×
Yoshiko Miura · 1×
Citations per year

Countries citing papers authored by Dehai Liang

Since Specialization
Citations

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

Fields of papers citing papers by Dehai Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202445
3 202415
4 202323
5 202391
6 202320
7 202210
8 202211
9 20224
10 202016
11 201960
12 20194
13 20193
14 201920
15 20194
16 201822
17 20188
18 20189
19 20171
20 20177

About Dehai Liang

Dehai Liang is a scholar working on Molecular Medicine, Biomaterials, Surfaces, Coatings and Films, Organic Chemistry and Polymers and Plastics, having authored 170 papers that have together received 5.6k indexed citations. Recurring topics across this work include Advanced Polymer Synthesis and Characterization (31 papers), RNA Interference and Gene Delivery (27 papers), Advanced biosensing and bioanalysis techniques (27 papers), Microfluidic and Capillary Electrophoresis Applications (23 papers), Surfactants and Colloidal Systems (22 papers), Supramolecular Self-Assembly in Materials (19 papers), DNA and Nucleic Acid Chemistry (18 papers) and Perovskite Materials and Applications (17 papers). The work is most often cited by research in Biomaterials (1.7k citations), Molecular Medicine (421 citations), Surfaces, Coatings and Films (479 citations), Polymers and Plastics (828 citations) and Organic Chemistry (1.7k citations). Dehai Liang has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Benjamin Chu, Benjamin S. Hsiao, Zichen Li, Fu‐Sheng Du, Fuyou Ke, Zeng‐Ying Qiao, Rui Zhang, Wensi Cai, Jingjing Yan and Shuangyi Zhao. Their work appears in journals such as Macromolecules, Langmuir, Electrophoresis, Soft Matter and Biomacromolecules.

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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