Long‐Hai Wang

95 papers receiving 2.6k citations

Peers

Long‐Hai Wang
Comparison fields: 5 of 122
  • Biomaterials 552
  • Molecular Medicine 182
  • Surfaces, Coatings and Films 206
  • Endocrinology, Diabetes and Metabolism 329
  • Biomedical Engineering 915
Replace Cherie L. Stabler with:
Cherie L. Stabler United States
Duo An United States
Cheol‐Hee Ahn South Korea
Ji Sun Park South Korea
Melissa D. Krebs United States
Tram T. Dang United States
Aart A. van Apeldoorn Netherlands
A Sigen Ireland
Alex A. Aimetti United States
Dezhong Zhou China
Long‐Hai Wang relative to Cherie L. Stabler United States Cherie L. Stabler's profile →
Citations per field
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Cherie L. Stabler · 1×
Citations per year

Countries citing papers authored by Long‐Hai Wang

Since Specialization
Citations

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

Fields of papers citing papers by Long‐Hai Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020188
2 2019166
3 2019129
4 2020127
5 2015109
6 2019100
7 202194
8 201989
9 201987
10 201368
11 201967
12 202167
13 202164
14 202158
15 201957
16 202054
17 202250
18 201447
19 201743
20 201841

About Long‐Hai Wang

Long‐Hai Wang is a scholar working on Biomedical Engineering, Materials Chemistry, Surgery, Molecular Biology and Organic Chemistry, having authored 97 papers that have together received 2.6k indexed citations. Recurring topics across this work include Ferroelectric and Piezoelectric Materials (22 papers), Pancreatic function and diabetes (16 papers), Acoustic Wave Resonator Technologies (15 papers), RNA Interference and Gene Delivery (13 papers), Advanced Polymer Synthesis and Characterization (11 papers), Advanced biosensing and bioanalysis techniques (10 papers), Multiferroics and related materials (7 papers) and Diabetes Management and Research (7 papers). The work is most often cited by research in Biomaterials (552 citations), Molecular Medicine (182 citations), Surfaces, Coatings and Films (206 citations), Endocrinology, Diabetes and Metabolism (329 citations) and Biomedical Engineering (915 citations). Long‐Hai Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Minglin Ma, Ye‐Zi You, Alexander U. Ernst, Xi Wang, Chun‐Yan Hong, Decheng Wu, Qingsheng Liu, Alan Chiu, Kaavian Shariati and Daniel T. Bowers. Their work appears in journals such as Integrated ferroelectrics, Nature Communications, Advanced Materials, ACS Applied Materials & Interfaces and Polymer Chemistry.

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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