Han Deng

63 papers receiving 819 citations

Peers

Han Deng
Comparison fields: 5 of 87
  • Oral Surgery 190
  • Orthodontics 109
  • Health Informatics 27
  • Computer Vision and Pattern Recognition 243
  • Complementary and Manual Therapy 16
Replace Sukun Tian with:
Sukun Tian China
Muthu Subash Kavitha Japan
Yuanfeng Zhou China
Christina Gsaxner Austria
Yung‐Kyun Noh South Korea
Zuozhu Liu China
Norliza Mohd Noor Malaysia
Antonio Pepe Austria
Chanjira Sinthanayothin Thailand
Julien Jomier United States
Han Deng relative to Sukun Tian China Sukun Tian's profile →
Citations per field
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Citations per year

Countries citing papers authored by Han Deng

Since Specialization
Citations

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

Fields of papers citing papers by Han Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202151
2 202146
3 202140
4 202140
5 202237
6 202035
7 201835
8 202135
9 202134
10 201931
11 202231
12 202227
13 202224
14 202024
15 202323
16 201921
17 202021
18 202219
19 201519
20 202118

About Han Deng

Han Deng is a scholar working on Computer Vision and Pattern Recognition, Orthodontics, Oral Surgery, Computer Networks and Communications and Biomedical Engineering, having authored 68 papers that have together received 828 indexed citations. Recurring topics across this work include Orthodontics and Dentofacial Orthopedics (13 papers), Dental Radiography and Imaging (13 papers), 3D Shape Modeling and Analysis (11 papers), Medical Imaging and Analysis (7 papers), Blockchain Technology Applications and Security (6 papers), Face recognition and analysis (6 papers), Advanced Wireless Network Optimization (6 papers) and Big Data and Digital Economy (4 papers). The work is most often cited by research in Oral Surgery (190 citations), Orthodontics (109 citations), Health Informatics (27 citations), Computer Vision and Pattern Recognition (243 citations) and Complementary and Manual Therapy (16 citations). Han Deng has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Jaime Gateño, James J. Xia, Tianshu Kuang, Pew‐Thian Yap, Chunfeng Lian, Dinggang Shen, I-Hong Hou, Deqiang Xiao, Daeseung Kim and Li Wang. Their work appears in journals such as IEEE Transactions on Medical Imaging, International Journal of Oral and Maxillofacial Surgery, International Journal of Computer Assisted Radiology and Surgery, Medical Image Analysis and Journal of Oral and Maxillofacial Surgery.

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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