Fengjun Hu

696 citations
34 papers · 480 · 1 hit paper · h-index 10

Impact in

Papers in

    • Target Tracking and Data Fusion in Sensor Networks 3
    • Metaheuristic Optimization Algorithms Research 3
    • AI in cancer detection 2
    • Dental Radiography and Imaging 3

Fengjun Hu

31 papers receiving 474 citations

Fengjun Hu's Hit Papers

Multiclass CBCT Image Segmentation for Orthodontics with Deep Learning 2021 · 139 citations
1390+1+3Years since publication4080120

Peers

Fengjun Hu
Comparison fields: 5 of 89
  • Oral Surgery 145
  • Orthodontics 34
  • Molecular Medicine 32
  • Computer Vision and Pattern Recognition 70
  • Health Informatics 5
Replace Changjian Li with:
Changjian Li United Kingdom
Yangzhou Gan China
Haiyan Li China
Xiaoyan Sun China
Yijie Huang China
Xinghao Zhu China
Sukun Tian China
Jun‐Sik Kim South Korea
Abdolvahab Ehsani Rad Malaysia
Jaewoo Park South Korea
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Citations per field
00.5×1.5×
Changjian Li · 1×
Citations per year

Countries citing papers authored by Fengjun Hu

Since Specialization
Citations

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

Fields of papers citing papers by Fengjun Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Multiclass CBCT Image Segmentation for Orthodontics with Deep Learning
Hit paper breakdown →
2021139
2 202075
3 202046
4 202234
5 202332
6 202321
7 202418
8 202416
9 201012
10 202411
11 20159
12 20098
13 20238
14 20137
15 20175
16 20245
17 20174
18 20234
19 20254
20 20183

About Fengjun Hu

Fengjun Hu is a scholar working on Artificial Intelligence, Oral Surgery, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Control and Systems Engineering, having authored 34 papers that have together received 480 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (3 papers), 3D Shape Modeling and Analysis (3 papers), Dental Radiography and Imaging (3 papers), Metaheuristic Optimization Algorithms Research (3 papers), Vehicle Routing Optimization Methods (2 papers), AI in cancer detection (2 papers), Advanced Neural Network Applications (2 papers) and Antimicrobial Peptides and Activities (1 paper). The work is most often cited by research in Oral Surgery (145 citations), Orthodontics (34 citations), Molecular Medicine (32 citations), Computer Vision and Pattern Recognition (70 citations) and Health Informatics (5 citations). Fengjun Hu has collaborated with scholars based in China, Saudi Arabia and Netherlands. Frequent co-authors include Gang Wu, Tymour Forouzanfar, Guangming Wu, Jordi Minnema, Kees Joost Batenburg, Zeyu Chen, Ghulam Abbas, Ying Zhang, Yong Zheng and Bin Liu. Their work appears in journals such as Expert Systems with Applications, IEEE Transactions on Intelligent Transportation Systems, Journal of Dental Research, IEEE Internet of Things Journal and Redox Biology.

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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