Fengjun Hu

656 citations
37 papers · 426 · h-index 10

Impact in

Papers in

Fengjun Hu

33 papers receiving 421 citations

Peers

Fengjun Hu
Comparison fields: 5 of 113
  • Oral Surgery 102
  • General Dentistry 8
  • Orthodontics 15
  • Computer Vision and Pattern Recognition 50
  • Developmental Neuroscience 9
Replace Lijun Xie with:
Lijun Xie China
António H. J. Moreira Portugal
Yung‐Kyun Noh South Korea
Zuozhu Liu China
Junli Zhao China
Miguel Carrasco Chile
Xiaona Wang China
Chengqi Lyu China
Ming Zhu China
JS Kim South Korea
Fengjun Hu relative to Lijun Xie China Lijun Xie's profile →
Citations per field
00.5×1.5×2.4×
Lijun Xie · 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 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021117
2 202068
3 202043
4 202234
5 202325
6 202315
7 202413
8 202412
9 202311
10 202410
11 20159
12 20108
13 20237
14 20097
15 20255
16 20175
17 20135
18 20174
19 20234
20 20193

About Fengjun Hu

Fengjun Hu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Biomedical Engineering and Electrical and Electronic Engineering, having authored 37 papers that have together received 426 indexed citations. Recurring topics across this work include AI in cancer detection (4 papers), Remote Sensing and LiDAR Applications (3 papers), Target Tracking and Data Fusion in Sensor Networks (3 papers), Robotic Path Planning Algorithms (3 papers), Dental Radiography and Imaging (3 papers), Metaheuristic Optimization Algorithms Research (3 papers), Video Surveillance and Tracking Methods (3 papers) and Adaptive Control of Nonlinear Systems (2 papers). The work is most often cited by research in Oral Surgery (102 citations), General Dentistry (8 citations), Orthodontics (15 citations), Computer Vision and Pattern Recognition (50 citations) and Developmental Neuroscience (9 citations). Fengjun Hu has collaborated with scholars based in China, Saudi Arabia and Netherlands. Frequent co-authors include Gang Wu, Tymour Forouzanfar, Kees Joost Batenburg, Jordi Minnema, Guangming Wu, Zeyu Chen, Gang Wu, Yong Zheng, Li‐Mei Chen and Haiyan Lin. Their work appears in journals such as Expert Systems with Applications, IEEE Transactions on Intelligent Transportation Systems, Bioactive Materials, Tissue Engineering Part C Methods and Journal of Dental Research.

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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