Jiajun Deng

3.3k citations
62 papers · 1.9k indexed · 2 hit papers · h-index 18

Impact in

Papers in

Jiajun Deng

54 papers receiving 1.8k citations

Hit Papers

PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection 2022 · 268 citations
2682021202620222024100200300400500

Peers

Jiajun Deng
Comparison fields: 5 of 100
  • Computer Vision and Pattern Recognition 1.4k
  • Geology 201
  • Aerospace Engineering 628
  • Instrumentation 85
  • Environmental Engineering 249
Replace Jason S. Ku with:
Jason S. Ku United States
Tianwei Yin United States
Yuxing Mao China
Ji Wan China
Jin Fang China
Yukang Chen China
Xinge Zhu China
Jiajun Deng relative to Jason S. Ku United States Jason S. Ku's profile →
Citations per field
00.5×
Jason S. Ku · 1×
Citations per year

Countries citing papers authored by Jiajun Deng

Since Specialization
Citations

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

Fields of papers citing papers by Jiajun Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20252
4 20241
5 20245
6 202411
7 20241
8 20240
9 20242
10 202338
11 202397
12 202231
13 2022110
14 20224
15
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection
Hit paper breakdown →
2022268
16 202121
17 202159
18 202147
19 202116
20 202042

About Jiajun Deng

Jiajun Deng is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Aerospace Engineering, Geology and Ocean Engineering, having authored 62 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (21 papers), Advanced Image and Video Retrieval Techniques (12 papers), Robotics and Sensor-Based Localization (11 papers), Human Pose and Action Recognition (7 papers), Advanced Vision and Imaging (6 papers), Rock Mechanics and Modeling (5 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Optical Wireless Communication Technologies (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Geology (201 citations), Aerospace Engineering (628 citations), Instrumentation (85 citations) and Environmental Engineering (249 citations). Jiajun Deng has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Houqiang Li, Wengang Zhou, Shaoshuai Shi, Yanyong Zhang, Peiwei Li, Yanyong Zhang, Jianmin Ji, Tao Mei, Yingwei Pan and Ting Yao. Their work appears in journals such as IEEE Transactions on Multimedia, International Journal of Computer Vision, International Journal of Mining Science and Technology, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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