Baifan Chen

511 citations
43 papers · 303 · h-index 9

Impact in

Papers in

    • Advanced Image and Video Retrieval Techniques 15
    • Robotic Path Planning Algorithms 11
    • Video Surveillance and Tracking Methods 8
    • Advanced Neural Network Applications 6
    • Visual Attention and Saliency Detection 5
    • Robotics and Sensor-Based Localization 18

Baifan Chen

36 papers receiving 295 citations

Peers

Baifan Chen
Comparison fields: 5 of 58
  • Computer Vision and Pattern Recognition 181
  • Aerospace Engineering 99
  • Automotive Engineering 36
  • Media Technology 23
  • Geology 11
Replace Chunmian Lin with:
Chunmian Lin China
Yasir Mohd Mustafah Malaysia
Sara Minaeian United States
Li Su China
Siyuan Liang China
Kenia Picos Mexico
Duong-Van Nguyen Germany
Wilbert G. Aguilar Ecuador
Siva Karthik Mustikovela Germany
Baifan Chen relative to Chunmian Lin China Chunmian Lin's profile →
Citations per field
00.5×1.5×
Chunmian Lin · 1×
Citations per year

Countries citing papers authored by Baifan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Baifan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202261
2 201834
3 201932
4 201924
5 202320
6 202118
7 202111
8 201910
9 20238
10 20227
11 20086
12 20215
13 20115
14 20195
15 20195
16 20254
17 20174
18 20234
19 20204
20 20234

About Baifan Chen

Baifan Chen is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Automotive Engineering, Electrical and Electronic Engineering and Artificial Intelligence, having authored 43 papers that have together received 303 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (18 papers), Advanced Image and Video Retrieval Techniques (15 papers), Robotic Path Planning Algorithms (11 papers), Video Surveillance and Tracking Methods (8 papers), Advanced Neural Network Applications (6 papers), Autonomous Vehicle Technology and Safety (5 papers), Visual Attention and Saliency Detection (5 papers) and Indoor and Outdoor Localization Technologies (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (181 citations), Aerospace Engineering (99 citations), Automotive Engineering (36 citations), Media Technology (23 citations) and Geology (11 citations). Baifan Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Lingli Yu, Yuqian Zhao, Fan Zhang, Yong Wang, Chunhua Yang, Biao Luo, Xiaoyang Xiao, Xiangdong Zhou, Feng Lu and Qian Wu. Their work appears in journals such as Applied Sciences, Sensors, Neural Networks, Multimedia Tools and Applications and IEEE Transactions on Vehicular Technology.

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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