Kailai Zhang

906 total citations · 1 hit paper
26 papers, 575 citations indexed

About

Kailai Zhang is a scholar working on Surgery, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kailai Zhang has authored 26 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Surgery, 10 papers in Artificial Intelligence and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kailai Zhang's work include Dental Radiography and Imaging (5 papers), Knee injuries and reconstruction techniques (4 papers) and AI in cancer detection (4 papers). Kailai Zhang is often cited by papers focused on Dental Radiography and Imaging (5 papers), Knee injuries and reconstruction techniques (4 papers) and AI in cancer detection (4 papers). Kailai Zhang collaborates with scholars based in China, Canada and United States. Kailai Zhang's 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 and has published in prestigious journals such as Scientific Reports, Construction and Building Materials and Arthroscopy The Journal of Arthroscopic and Related Surgery.

In The Last Decade

Kailai Zhang

25 papers receiving 563 citations

Hit Papers

A deep learning approach to automatic teeth detection and... 2019 2026 2021 2023 2019 50 100 150 200

Peers

Kailai Zhang
Comparison fields: 5 of 81
  • Oral Surgery 296
  • Biomedical Engineering 191
  • Surgery 152
  • Artificial Intelligence 119
  • Radiology, Nuclear Medicine and Imaging 106
Replace Maureen van Eijnatten with:
Maureen van Eijnatten Netherlands
Seok‐Ki Jung South Korea
Holger Willems Sweden
Taseef Hasan Farook Australia
Guido de Jong Netherlands
Tomaž Vrtovec Slovenia
Jürgen Wallner Austria
Hu Chen China
Johari Yap Abdullah Malaysia
Zhen Tang China
Maureen van Eijnatten Netherlands View profile →
Citations per field, relative to Kailai Zhang
Kailai Zhang · 1×
Citations per year, relative to Kailai Zhang
Kailai Zhang · 1×

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 of co-authors of Kailai Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Kailai Zhang. A scholar is included among the top collaborators of Kailai Zhang 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 Kailai Zhang. Kailai Zhang 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 0
2 3
3 3
4 12
5 5
6 28
7 10
8 9
9 12
10 4
11 19
12 6
13 2
14
A deep learning approach to automatic teeth detection and numbering based on object detection in dental periapical films breakdown →
223
15 50
16 15
17 90
18 17
19 17
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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