Junfan Wang

673 citations
17 papers · 400 · 1 hit paper · h-index 9

Impact in

Papers in

Junfan Wang

16 papers receiving 384 citations

Junfan Wang's Hit Papers

Improved YOLOv5 network for real-time multi-scale traffic sign detection 2022 · 217 citations
2170+1+2Years since publication50100150200

Peers

Junfan Wang
Comparison fields: 5 of 71
  • Media Technology 119
  • Computer Vision and Pattern Recognition 258
  • Industrial and Manufacturing Engineering 52
  • Automotive Engineering 46
  • Human-Computer Interaction 19
Replace Xiaokang Jin with:
Xiaokang Jin China
Mouna Afif Tunisia
Csaba Beleznai Austria
Zhengyu Xie China
Miguel Ángel García-Garrido Spain
Fatin Zaklouta France
Ahmed Gomaa Egypt
Zhongli Wang China
M. Pellkofer Germany
Junfan Wang relative to Xiaokang Jin China Xiaokang Jin's profile →
Citations per field
00.5×6.1×
Xiaokang Jin · 1×
Citations per year

Countries citing papers authored by Junfan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Junfan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Junfan Wang, 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 Junfan Wang Line = papers co-authored together Junfan Wang links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
Improved YOLOv5 network for real-time multi-scale traffic sign detection
Hit paper breakdown →
2022217
2 202341
3 202331
4 202222
5 202318
6 202111
7 202311
8 202110
9 20228
10 20247
11 20247
12 20247
13 20226
14 20242
15
A Preliminary Investigation of Botanical Nomenclature and Classification in the Kam
20151
16 20201
17 20240

About Junfan Wang

Junfan Wang is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Automotive Engineering, Media Technology and Civil and Structural Engineering, having authored 17 papers that have together received 400 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (6 papers), Video Surveillance and Tracking Methods (3 papers), Visual Attention and Saliency Detection (2 papers), Infrastructure Maintenance and Monitoring (2 papers), Advanced Battery Technologies Research (2 papers), CCD and CMOS Imaging Sensors (2 papers), Advanced Memory and Neural Computing (2 papers) and Reliability and Maintenance Optimization (1 paper). The work is most often cited by research in Media Technology (119 citations), Computer Vision and Pattern Recognition (258 citations), Industrial and Manufacturing Engineering (52 citations), Automotive Engineering (46 citations) and Human-Computer Interaction (19 citations). Junfan Wang has collaborated with scholars based in China, United Kingdom and Canada. Frequent co-authors include Zhekang Dong, Yi Chen, Mingyu Gao, Mingyu Gao, Xiaoyue Ji, Chun Sing Lai, Donglian Qi, Jiayang Wang, Huipin Lin and Yuxiang Yang. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Electronics, IEEE Internet of Things Journal, IEEE Transactions on Consumer Electronics and Knowledge-Based Systems.

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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