Hu Chen

1.4k citations
53 papers · 942 · 1 hit paper · h-index 13

Impact in

Papers in

    • Dental Implant Techniques and Outcomes 18
    • Dental Radiography and Imaging 12
    • Dental materials and restorations 24

Hu Chen

50 papers receiving 907 citations

Hu Chen's Hit Papers

A deep learning approach to automatic teeth detection and numbering based on object detection in dental periapical films 2019 · 223 citations
2230+2+4Years since publication50100150200

Peers

Hu Chen
Comparison fields: 5 of 100
  • General Dentistry 169
  • Oral Surgery 571
  • Orthodontics 271
  • Health Informatics 33
  • Periodontics 46
Replace Sukun Tian with:
Sukun Tian China
Felix Kunz Germany
Tai‐Hsien Wu United States
WooSang Shin South Korea
Kailai Zhang China
Daniel M. Martin United States
Shenghui Liao China
Li Lin China
Bo Dong China
Hu Chen relative to Sukun Tian China Sukun Tian's profile →
Citations per field
00.5×4.6×
Sukun Tian · 1×
Citations per year

Countries citing papers authored by Hu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Hu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A deep learning approach to automatic teeth detection and numbering based on object detection in dental periapical films
Hit paper breakdown →
2019223
2 201890
3 201690
4 201972
5 202164
6 201650
7 201548
8 201540
9 202329
10 201720
11 202420
12 202318
13 202113
14 202112
15 202412
16 202311
17 202110
18 20229
19 20169
20 20237

About Hu Chen

Hu Chen is a scholar working on Oral Surgery, Orthodontics, Artificial Intelligence, General Dentistry and Biomedical Engineering, having authored 53 papers that have together received 942 indexed citations. Recurring topics across this work include Dental materials and restorations (24 papers), Dental Implant Techniques and Outcomes (18 papers), Dental Radiography and Imaging (12 papers), Dental Research and COVID-19 (8 papers), Anatomy and Medical Technology (4 papers), Additive Manufacturing and 3D Printing Technologies (4 papers), AI in cancer detection (4 papers) and Temporomandibular Joint Disorders (3 papers). The work is most often cited by research in General Dentistry (169 citations), Oral Surgery (571 citations), Orthodontics (271 citations), Health Informatics (33 citations) and Periodontics (46 citations). Hu Chen has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Peijun Lyu, Ji Wu, Kailai Zhang, Yuchun Sun, Yong Wang, Jian He, Hong Li, Ludan Zhang, Chin‐Hui Lee and Yijiao Zhao. Their work appears in journals such as Journal of Dentistry, Journal of Prosthetic Dentistry, Scientific Reports, Computers in Biology and Medicine and Computerized Medical Imaging and Graphics.

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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