Kailai Zhang

906 citations
26 papers · 575 indexed · 1 hit paper · h-index 11

Kailai Zhang

25 papers receiving 563 citations

Hit Papers

A deep learning approach to automatic teeth detection and...223201920262021202350100150200

Peers

Kailai Zhang
Comparison fields: 5 of 81
  • Oral Surgery 296
  • General Dentistry 47
  • Health Informatics 26
  • Periodontics 23
  • Orthopedics and Sports Medicine 40
Replace Seok‐Ki Jung with:
Seok‐Ki Jung South Korea
Tomaž Vrtovec Slovenia
Maureen van Eijnatten Netherlands
Holger Willems Sweden
Taseef Hasan Farook Australia
Sang-Il Oh South Korea
Johari Yap Abdullah Malaysia
Hu Chen China
Felix Kunz Germany
Alireza Borjali United States
Kailai Zhang relative to Seok‐Ki Jung South Korea Seok‐Ki Jung's profile →
Citations per field
00.5×2.8×
Seok‐Ki Jung · 1×
Citations per year

Countries citing papers authored by Kailai Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Kailai Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20253
3 20243
4 202412
5 20225
6 202128
7 202110
8 20219
9 202112
10 20214
11 202019
12 20206
13 20202
14
A deep learning approach to automatic teeth detection and numbering based on object detection in dental periapical filmsbreakdown →
2019223
15 201950
16 201915
17 201890
18 201817
19 201817
20 20189

About Kailai Zhang

Kailai Zhang is a scholar working on Oral Surgery, General Dentistry and Orthopedics and Sports Medicine, having authored 26 papers that have together received 575 indexed citations. Recurring topics across this work include Dental Radiography and Imaging (5 papers), Knee injuries and reconstruction techniques (4 papers), AI in cancer detection (4 papers), Advanced Neural Network Applications (4 papers), Sports injuries and prevention (4 papers), Speech and Audio Processing (3 papers), Shoulder Injury and Treatment (3 papers) and Medical Imaging and Analysis (3 papers). The work is most often cited by research in Oral Surgery (296 citations), General Dentistry (47 citations) and Health Informatics (26 citations). Kailai Zhang has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Ji Wu, Hu Chen, Peijun Lyu, Chin‐Hui Lee, Hong Li, Ludan Zhang, Darren de, Olufemi R. Ayeni, Nanfang Xu and Zheng Cao. Their work appears in journals such as Arthroscopy The Journal of Arthroscopic and Related Surgery, Knee Surgery Sports Traumatology Arthroscopy, Medical Image Analysis, Computerized Medical Imaging and Graphics and IEEE Transactions on Automation Science and Engineering.

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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