Bo Chen

7.5k citations
215 papers · 4.5k · 2 hit papers · h-index 32

Impact in

Papers in

Bo Chen

193 papers receiving 4.4k citations

Bo Chen's Hit Papers

Convolutional Neural Network With Data Augmentation for SAR Target Recognition 2016 · 601 citations
6010+4+8Years since publication250500750

Peers

Bo Chen
Comparison fields: 5 of 155
  • Computer Vision and Pattern Recognition 1.6k
  • Aerospace Engineering 1.7k
  • Media Technology 419
  • Artificial Intelligence 1.5k
  • Ocean Engineering 592
Replace Lan Du with:
Lan Du China
Patrick Pérez France
Abdesselam Bouzerdoum Australia
Gang Li China
Tony Xiao Han China
Vishal Monga United States
David Suter Australia
Gary Bishop United States
Yongming Huang China
Qinghua Guo Australia
Bo Chen relative to Lan Du China Lan Du's profile →
Citations per field
00.5×1.5×2.1×
Lan Du · 1×
Citations per year

Countries citing papers authored by Bo Chen

Since Specialization
Citations

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

Fields of papers citing papers by Bo Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 215 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Learning Fine-Grained Image Similarity with Deep Ranking
Hit paper breakdown →
2014762
2
Convolutional Neural Network With Data Augmentation for SAR Target Recognition
Hit paper breakdown →
2016601
3 2016167
4 2018164
5 2015156
6 2014105
7 202098
8 201792
9 201989
10 201887
11
Inductive Principles for Restricted Boltzmann Machine Learning
201080
12 201378
13 202074
14 201968
15 201558
16 201955
17 201852
18 201750
19 202148
20 202046

About Bo Chen

Bo Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Aerospace Engineering, Oceanography and Media Technology, having authored 215 papers that have together received 4.5k indexed citations. Recurring topics across this work include Advanced SAR Imaging Techniques (45 papers), Topic Modeling (29 papers), Domain Adaptation and Few-Shot Learning (19 papers), Natural Language Processing Techniques (19 papers), Multimodal Machine Learning Applications (18 papers), Underwater Acoustics Research (17 papers), Geophysical Methods and Applications (15 papers) and Image and Signal Denoising Methods (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Aerospace Engineering (1.7k citations), Media Technology (419 citations), Artificial Intelligence (1.5k citations) and Ocean Engineering (592 citations). Bo Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Hongwei Liu, Jun Ding, Mengyuan Huang, Yang Song, Thomas Leung, Ying Wu, Jiang Wang, James Philbin, Jingbin Wang and Zheng Bao. Their work appears in journals such as Signal Processing, IEEE Transactions on Signal Processing, Pattern Recognition, IEEE Access and IEEE Geoscience and Remote Sensing Letters.

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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