Hong-jun Ai

530 total citations
32 papers, 428 citations indexed

About

Hong-jun Ai is a scholar working on Biomedical Engineering, Oral Surgery and Orthodontics. According to data from OpenAlex, Hong-jun Ai has authored 32 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biomedical Engineering, 12 papers in Oral Surgery and 9 papers in Orthodontics. Recurrent topics in Hong-jun Ai's work include Bone Tissue Engineering Materials (12 papers), Dental Implant Techniques and Outcomes (8 papers) and Dental materials and restorations (6 papers). Hong-jun Ai is often cited by papers focused on Bone Tissue Engineering Materials (12 papers), Dental Implant Techniques and Outcomes (8 papers) and Dental materials and restorations (6 papers). Hong-jun Ai collaborates with scholars based in China, Japan and Singapore. Hong-jun Ai's co-authors include Lili Tan, Ke Yang, Guangdao Zhang, Wei Sun, Fuzhai Cui, Lili Zhang, Xu Yan, Changlong Lu, Di Zhang and Jing Li and has published in prestigious journals such as Applied Surface Science, BioMed Research International and Materials Science and Engineering C.

In The Last Decade

Hong-jun Ai

29 papers receiving 423 citations

Peers

Hong-jun Ai
Comparison fields: 5 of 74
  • Biomedical Engineering 173
  • Oral Surgery 94
  • Mechanical Engineering 90
  • Materials Chemistry 88
  • Biomaterials 85
Replace Ping-Heng Lan with:
Ping-Heng Lan China
Pascal Pellen‐Mussi France
Ana Celeste Oliveira Spain
Wayne Nishio Ayre United Kingdom
Mao‐Suan Huang Taiwan
Somasundaram Prasadh Singapore
Yutao Jian China
Aydın Gülses Germany
Ho‐Kyung Lim South Korea
Sheng Yang China
Ping-Heng Lan China View profile →
Citations per field, relative to Hong-jun Ai
Hong-jun Ai · 1×
Citations per year, relative to Hong-jun Ai
Hong-jun Ai · 1×

Countries citing papers authored by Hong-jun Ai

Since Specialization
Citations

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

Fields of papers citing papers by Hong-jun Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hong-jun Ai. 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 Hong-jun Ai. The network helps show where Hong-jun Ai may publish in the future.

Co-authorship network of co-authors of Hong-jun Ai

This figure shows the co-authorship network connecting the top 25 collaborators of Hong-jun Ai. A scholar is included among the top collaborators of Hong-jun Ai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hong-jun Ai. Hong-jun Ai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 26
2 2
3 26
4 70
5 8
6 7
7 13
8 10
9 9
10 30
11 10
12 14
13 47
14 14
15 15
16
[Resistance to cyclic fatigue of pulpless teeth with flared root canals restored with three kinds of post-and-cores].
0
17 22
18
[Influence of fluoride ion-implanted titanium on the formation of focal adhesion plaque in vitro].
1
19
[Computer aided design and computer aided manufacture of sacrificial pattern of removable partial denture framework].
3
20 9

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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