Vijay John

1.6k total citations
54 papers, 941 citations indexed

About

Vijay John is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Aerospace Engineering. According to data from OpenAlex, Vijay John has authored 54 papers receiving a total of 941 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computer Vision and Pattern Recognition, 12 papers in Automotive Engineering and 10 papers in Aerospace Engineering. Recurrent topics in Vijay John's work include Video Surveillance and Tracking Methods (22 papers), Advanced Neural Network Applications (14 papers) and Human Pose and Action Recognition (13 papers). Vijay John is often cited by papers focused on Video Surveillance and Tracking Methods (22 papers), Advanced Neural Network Applications (14 papers) and Human Pose and Action Recognition (13 papers). Vijay John collaborates with scholars based in Japan, Canada and China. Vijay John's co-authors include Seiichi Mita, Zheng Liu, Bin Qi, Erik Blasch, Zheng Liu, Emanuele Trucco, S. Mita, Kazue Yoneda, Shuo Liu and Hossein Tehrani and has published in prestigious journals such as IEEE Access, Information Fusion and Image and Vision Computing.

In The Last Decade

Vijay John

51 papers receiving 899 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vijay John Japan	17	583	190	164	148	137	54	941
Fernando Jaureguizar Spain	14	667 1.1×	128 0.7×	133 0.8×	86 0.6×	98 0.7×	108	931
Jianhui Zhao China	13	566 1.0×	183 1.0×	154 0.9×	82 0.6×	135 1.0×	52	999
Fabian Timm Germany	8	690 1.2×	194 1.0×	204 1.2×	105 0.7×	238 1.7×	12	1.2k
Xinyu Huang United States	13	641 1.1×	184 1.0×	283 1.7×	119 0.8×	131 1.0×	36	991
Jinshi Cui China	18	836 1.4×	221 1.2×	125 0.8×	74 0.5×	349 2.5×	63	1.2k
Jiang Yu Zheng United States	19	972 1.7×	183 1.0×	281 1.7×	91 0.6×	118 0.9×	117	1.3k
Bogdan Stanciulescu France	12	648 1.1×	69 0.4×	209 1.3×	220 1.5×	126 0.9×	25	877
Sung-Kee Park South Korea	14	685 1.2×	209 1.1×	95 0.6×	258 1.7×	143 1.0×	59	960
David Gerónimo Spain	10	869 1.5×	142 0.7×	266 1.6×	78 0.5×	185 1.4×	11	1.1k
Di Feng Germany	10	738 1.3×	267 1.4×	275 1.7×	86 0.6×	325 2.4×	10	1.3k

Countries citing papers authored by Vijay John

Since Specialization

Citations

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

Fields of papers citing papers by Vijay John

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vijay John

This figure shows the co-authorship network connecting the top 25 collaborators of Vijay John. A scholar is included among the top collaborators of Vijay John 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 Vijay John. Vijay John is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Li, Zhang, Vijay John, Hong Chen, et al.. (2025). Intelligent Psyllid Monitoring Based on DiTs-YOLOv10-SOD. 3(1). 286–294.

Tian, Zhihui, et al.. (2024). Polylanenet++: enhancing the polynomial regression lane detection based on spatio-temporal fusion. Signal Image and Video Processing. 18(4). 3021–3030. 3 indexed citations

John, Vijay & Yasutomo Kawanishi. (2024). Frame-Level Latent Embedding Using Weak Labels for Multi-View Action Recognition. 235–238. 1 indexed citations

John, Vijay & Yasutomo Kawanishi. (2023). Multimodal Cascaded Framework with Metric Learning Robust to Missing Modalities for Person Classification. 257–265. 3 indexed citations

Li, Weifu, et al.. (2023). Predicting and Visualizing Citrus Color Transformation Using a Deep Mask-Guided Generative Network. Plant Phenomics. 5. 57–57. 6 indexed citations

John, Vijay & Seiichi Mita. (2021). Deep Feature-Level Sensor Fusion Using Skip Connections for Real-Time Object Detection in Autonomous Driving. Electronics. 10(4). 424–424. 24 indexed citations

John, Vijay, et al.. (2021). Deep Visible and Thermal Camera-based Optimal Semantic Segmentation using Semantic Forecasting. 1–10. 8 indexed citations

John, Vijay, et al.. (2018). Estimation of Steering Angle and Collision Avoidance for Automated Driving Using Deep Mixture of Experts. IEEE Transactions on Intelligent Vehicles. 3(4). 571–584. 10 indexed citations

John, Vijay, et al.. (2018). Free Space, Visible and Missing Lane Marker Estimation using the PsiNet and Extra Trees Regression. 12 indexed citations

10.

Liu, Shuo, Vijay John, Erik Blasch, Zheng Liu, & Ying Huang. (2018). IR2VI: Enhanced Night Environmental Perception by Unsupervised Thermal Image Translation. 1234–12347. 29 indexed citations

11.

John, Vijay, et al.. (2017). Gabor Filter and Gershgorin Disk-based Convolutional Filter Constraining for Image Classification. International Journal of Machine Learning and Computing. 7(4). 55–60. 3 indexed citations

12.

John, Vijay, et al.. (2017). Automated driving by monocular camera using deep mixture of experts. abs 1604 7316. 127–134. 6 indexed citations

13.

Liu, Zheng, Erik Blasch, Gaurav Bhatnagar, et al.. (2017). Fusing synergistic information from multi-sensor images: An overview from implementation to performance assessment. Information Fusion. 42. 127–145. 40 indexed citations

14.

John, Vijay, et al.. (2016). Fast road scene segmentation using deep learning and scene-based models. 3763–3768. 12 indexed citations

15.

John, Vijay, et al.. (2016). Deep Learning-Based Fast Hand Gesture Recognition Using Representative Frames. 1–8. 46 indexed citations

16.

Xie, Qiwei, et al.. (2014). Image Fusion Based on the \({\Delta ^{ - 1}} - T{V_0}\) Energy Function. Entropy. 16(11). 6099–6115. 2 indexed citations

17.

John, Vijay, Kazue Yoneda, Bin Qi, Zheng Liu, & S. Mita. (2014). Traffic light recognition in varying illumination using deep learning and saliency map. 2286–2291. 83 indexed citations

18.

Qi, Bin, Vijay John, Zheng Liu, & Seiichi Mita. (2014). Use of Sparse Representation for Pedestrian Detection in Thermal Images. 274–280. 16 indexed citations

19.

John, Vijay, Emanuele Trucco, & S.J. McKenna. (2010). Markerless human motion capture using charting and manifold constrained particle swarm optimisation. Discovery Research Portal (University of Dundee). 6 indexed citations

20.

John, Vijay. (2008). Non‐surgical management of infected type III dens invaginatus with vital surrounding pulp using contemporary endodontic techniques. Australian Endodontic Journal. 34(1). 4–11. 12 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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