Junfan Wang

673 total citations · 1 hit paper
17 papers, 400 citations indexed

About

Junfan Wang is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Automotive Engineering. According to data from OpenAlex, Junfan Wang has authored 17 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 4 papers in Electrical and Electronic Engineering and 3 papers in Automotive Engineering. Recurrent topics in Junfan Wang's work include Advanced Neural Network Applications (6 papers), Video Surveillance and Tracking Methods (3 papers) and CCD and CMOS Imaging Sensors (2 papers). Junfan Wang is often cited by papers focused on Advanced Neural Network Applications (6 papers), Video Surveillance and Tracking Methods (3 papers) and CCD and CMOS Imaging Sensors (2 papers). Junfan Wang collaborates with scholars based in China, United Kingdom and Canada. Junfan Wang's 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 and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Internet of Things Journal and Knowledge-Based Systems.

In The Last Decade

Junfan Wang

16 papers receiving 384 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Improved YOLOv5 network for real-time multi-scale traffic sign detection

2022 217 citations Junfan Wang, Yi Chen et al. Neural Computing and Applications profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Junfan Wang China	9	258	119	58	54	52	17	400
Zhe Dai China	6	240 0.9×	98 0.8×	26 0.4×	42 0.8×	23 0.4×	29	398
Xiaokang Jin China	7	371 1.4×	176 1.5×	61 1.1×	37 0.7×	40 0.8×	9	499
Zhengyu Xie China	10	124 0.5×	53 0.4×	45 0.8×	45 0.8×	66 1.3×	30	353
Hengliang Luo China	6	391 1.5×	226 1.9×	94 1.6×	21 0.4×	29 0.6×	8	550
Mouna Afif Tunisia	10	295 1.1×	81 0.7×	30 0.5×	36 0.7×	18 0.3×	35	429
Lingyun Bi China	9	217 0.8×	56 0.5×	28 0.5×	46 0.9×	52 1.0×	13	425
Xuehu Duan China	6	218 0.8×	55 0.5×	28 0.5×	46 0.9×	56 1.1×	10	416
Csaba Beleznai Austria	11	323 1.3×	58 0.5×	51 0.9×	36 0.7×	18 0.3×	34	411
Miguel Ángel García-Garrido Spain	9	354 1.4×	119 1.0×	38 0.7×	98 1.8×	28 0.5×	15	489
Junmei Guo China	7	170 0.7×	48 0.4×	23 0.4×	43 0.8×	54 1.0×	21	373

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-authorship network of co-authors of Junfan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Junfan Wang. A scholar is included among the top collaborators of Junfan Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Junfan Wang. Junfan Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Dong, Zhekang, et al.. (2024). PFFN: A Parallel Feature Fusion Network for Remaining Useful Life Early Prediction of Lithium-Ion Battery. IEEE Transactions on Transportation Electrification. 11(1). 2696–2706. 7 indexed citations

Dong, Zhekang, Chenhao Hu, Shiqi Zhou, et al.. (2024). DECNet: A Non-Contacting Dual-Modality Emotion Classification Network for Driver Health Monitoring. 371–379.

Wang, Junfan, Yi Chen, Xiaoyue Ji, et al.. (2024). SpikeTOD: A Biologically Interpretable Spike-Driven Object Detection in Challenging Traffic Scenarios. IEEE Transactions on Intelligent Transportation Systems. 25(12). 21297–21314. 2 indexed citations

Ji, Xiaoyue, Yi Chen, Junfan Wang, et al.. (2024). Time-Frequency Hybrid Neuromorphic Computing Architecture Development for Battery State-of-Health Estimation. IEEE Internet of Things Journal. 11(24). 39941–39957. 7 indexed citations

Wang, Junfan, Yi Chen, Xiaoyue Ji, et al.. (2024). Metaverse Meets Intelligent Transportation System: An Efficient and Instructional Visual Perception Framework. IEEE Transactions on Intelligent Transportation Systems. 25(10). 14986–15001. 7 indexed citations

Wang, Junfan, et al.. (2023). SABV-Depth: A biologically inspired deep learning network for monocular depth estimation. Knowledge-Based Systems. 263. 110301–110301. 18 indexed citations

Wang, Junfan, Yi Chen, Yunfeng Yan, et al.. (2023). A lightweight vehicle mounted multi-scale traffic sign detector using attention fusion pyramid. The Journal of Supercomputing. 80(3). 3360–3381. 11 indexed citations

Dong, Zhekang, et al.. (2023). ICNCS: Internal Cascaded Neuromorphic Computing System for Fast Electric Vehicle State-of-Charge Estimation. IEEE Transactions on Consumer Electronics. 70(1). 4311–4320. 41 indexed citations

Wang, Junfan, Yi Chen, Xiaoyue Ji, et al.. (2023). Vehicle-Mounted Adaptive Traffic Sign Detector for Small-Sized Signs in Multiple Working Conditions. IEEE Transactions on Intelligent Transportation Systems. 25(1). 710–724. 31 indexed citations

10.

Wang, Junfan, Yi Chen, Zhekang Dong, & Mingyu Gao. (2022). Improved YOLOv5 network for real-time multi-scale traffic sign detection. Neural Computing and Applications. 35(10). 7853–7865. 217 indexed citations breakdown →

11.

Wang, Junfan, et al.. (2022). Multiple Mechanisms to Strengthen the Ability of YOLOv5s for Real-Time Identification of Vehicle Type. Electronics. 11(16). 2586–2586. 8 indexed citations

12.

Wang, Junfan, et al.. (2022). G-YOLOX: A Lightweight Network for Detecting Vehicle Types. Journal of Sensors. 2022. 1–10. 6 indexed citations

13.

Chen, Yi, Junfan Wang, Zhekang Dong, et al.. (2022). An Attention Based YOLOv5 Network for Small Traffic Sign Recognition. 1158–1164. 22 indexed citations

14.

Gao, Mingyu, et al.. (2021). An Improved Multi-Exposure Image Fusion Method for Intelligent Transportation System. Electronics. 10(4). 383–383. 11 indexed citations

15.

Gao, Mingyu, et al.. (2021). A Hybrid YOLOv4 and Particle Filter Based Robotic Arm Grabbing System in Nonlinear and Non-Gaussian Environment. Electronics. 10(10). 1140–1140. 10 indexed citations

16.

Gao, Mingyu, et al.. (2020). Research on Symmetry Half-Bridge Switched Capacitor Active Equalization Circuit of Vehicle Power Lead-Acid Battery. 1–5. 1 indexed citations

17.

Wang, Junfan. (2015). A Preliminary Investigation of Botanical Nomenclature and Classification in the Kam. 1 indexed citations

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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