Justin Johnson

20.0k total citations · 7 hit papers
43 papers, 4.9k citations indexed

About

Justin Johnson is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Justin Johnson has authored 43 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Justin Johnson's work include Imbalanced Data Classification Techniques (24 papers), Electricity Theft Detection Techniques (12 papers) and Machine Learning and Data Classification (11 papers). Justin Johnson is often cited by papers focused on Imbalanced Data Classification Techniques (24 papers), Electricity Theft Detection Techniques (12 papers) and Machine Learning and Data Classification (11 papers). Justin Johnson collaborates with scholars based in United States, Israel and Germany. Justin Johnson's co-authors include Taghi M. Khoshgoftaar, Li Fei-Fei, Agrim Gupta, Bharath Hariharan, C. Lawrence Zitnick, Laurens van der Maaten, Ross Girshick, Ang Cao, David A. Shamma and Ranjay Krishna and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Biomechanics.

In The Last Decade

Justin Johnson

39 papers receiving 4.7k citations

Hit Papers

Survey on deep learning with class imbalance 2015 2026 2018 2022 2019 2017 2015 2018 2020 500 1000 1.5k
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.

  1. Survey on deep learning with class imbalance
    2019 1.8k citations Justin Johnson, Taghi M. Khoshgoftaar profile →
  2. CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
    2017 822 citations Justin Johnson, Li Fei-Fei et al. profile →
  3. Image retrieval using scene graphs
    2015 613 citations Justin Johnson, Li Fei-Fei et al. profile →
  4. Image Generation from Scene Graphs
    2018 453 citations Justin Johnson, Agrim Gupta et al. profile →
  5. Accelerating 3D deep learning with PyTorch3D
    2020 334 citations Justin Johnson, Nikhila Ravi et al. profile →
  6. Mesh R-CNN
    2019 233 citations Georgia Gkioxari, Justin Johnson et al. profile →
  7. HexPlane: A Fast Representation for Dynamic Scenes
    2023 160 citations Ang Cao, Justin Johnson profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Justin Johnson United States 17 2.6k 2.3k 448 353 262 43 4.9k
Balasubramanian Raman India 39 3.7k 1.4× 1.1k 0.5× 213 0.5× 92 0.3× 310 1.2× 270 5.7k
Xiaodan Liang China 51 6.6k 2.5× 3.7k 1.6× 498 1.1× 161 0.5× 434 1.7× 239 8.7k
Vincent Dumoulin United States 10 2.1k 0.8× 1.5k 0.7× 154 0.3× 131 0.4× 375 1.4× 15 4.8k
Timothy M. Hospedales United Kingdom 38 5.7k 2.2× 3.5k 1.5× 288 0.6× 153 0.4× 473 1.8× 132 7.9k
Cha Zhang United States 39 4.1k 1.5× 1.4k 0.6× 635 1.4× 476 1.3× 93 0.4× 124 6.6k
Mingkui Tan China 40 5.4k 2.1× 3.3k 1.4× 445 1.0× 93 0.3× 473 1.8× 151 8.1k
Mingli Song China 40 3.9k 1.5× 1.5k 0.7× 262 0.6× 171 0.5× 191 0.7× 237 5.5k
Song Bai China 42 5.6k 2.1× 2.4k 1.1× 702 1.6× 155 0.4× 424 1.6× 115 8.1k
Qianli Ma China 26 757 0.3× 1.4k 0.6× 482 1.1× 249 0.7× 99 0.4× 101 3.2k
Yang Song Australia 35 4.1k 1.6× 3.7k 1.6× 316 0.7× 100 0.3× 1.7k 6.6× 292 8.6k

Countries citing papers authored by Justin Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Justin Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Justin Johnson

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

All Works

20 of 20 papers shown
1.
Johnson, Justin, et al.. (2024). DAMM for the detection and tracking of multiple animals within complex social and environmental settings. Scientific Reports. 14(1). 21366–21366. 3 indexed citations
2.
Raj, Amit, Kevis-Kokitsi Maninis, Michael Rubinstein, et al.. (2024). Probing the 3D Awareness of Visual Foundation Models. 21795–21806. 11 indexed citations
3.
Rocco, Ignacio, David Novotný, Andrea Vedaldi, et al.. (2023). Self-supervised Correspondence Estimation via Multiview Registration. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 1216–1225. 5 indexed citations
4.
Johnson, Justin & Taghi M. Khoshgoftaar. (2023). Data-Centric AI for Healthcare Fraud Detection. SN Computer Science. 4(4). 389–389. 35 indexed citations
5.
Cao, Ang & Justin Johnson. (2023). HexPlane: A Fast Representation for Dynamic Scenes. 130–141. 160 indexed citations breakdown →
6.
Hancock, John, Taghi M. Khoshgoftaar, & Justin Johnson. (2023). Using Area Under the Precision Recall Curve to Assess the Effect of Random Undersampling in the Classification of Imbalanced Medicare Big Data. International Journal of Reliability Quality and Safety Engineering. 31(1). 3 indexed citations
7.
Gkioxari, Georgia, Nikhila Ravi, & Justin Johnson. (2022). Learning 3D Object Shape and Layout without 3D Supervision. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 1685–1694. 14 indexed citations
8.
Johnson, Justin & Taghi M. Khoshgoftaar. (2022). Encoding High-Dimensional Procedure Codes for Healthcare Fraud Detection. SN Computer Science. 3(5). 8 indexed citations
9.
Johnson, Justin & Taghi M. Khoshgoftaar. (2022). A Survey on Classifying Big Data with Label Noise. Journal of Data and Information Quality. 14(4). 1–43. 17 indexed citations
10.
Johnson, Justin, et al.. (2022). The 8-Point Algorithm as an Inductive Bias for Relative Pose Prediction by ViTs. 1–11. 16 indexed citations
11.
Cao, Ang, et al.. (2022). FWD: Real-time Novel View Synthesis with Forward Warping and Depth. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 15692–15703. 32 indexed citations
12.
Johnson, Justin, et al.. (2021). Machine Learning Based Chat Analysis. SHILAP Revista de lepidopterología. 2 indexed citations
13.
Johnson, Justin & Taghi M. Khoshgoftaar. (2021). Medical Provider Embeddings for Healthcare Fraud Detection. SN Computer Science. 2(4). 22 indexed citations
14.
Johnson, Justin, Nikhila Ravi, Jeremy Reizenstein, et al.. (2020). Accelerating 3D deep learning with PyTorch3D. 1–1. 334 indexed citations breakdown →
15.
Johnson, Justin & Taghi M. Khoshgoftaar. (2020). The Effects of Data Sampling with Deep Learning and Highly Imbalanced Big Data. Information Systems Frontiers. 22(5). 1113–1131. 51 indexed citations
16.
Johnson, Justin & Taghi M. Khoshgoftaar. (2019). Deep Learning and Data Sampling with Imbalanced Big Data. 175–183. 33 indexed citations
17.
Gkioxari, Georgia, Justin Johnson, & Jitendra Malik. (2019). Mesh R-CNN. 9784–9794. 233 indexed citations breakdown →
18.
Johnson, Justin, Agrim Gupta, & Li Fei-Fei. (2018). Image Generation from Scene Graphs. 1219–1228. 453 indexed citations breakdown →
19.
Johnson, Justin & Mohamed R. Mahfouz. (2016). Cartilage loss patterns within femorotibial contact regions during deep knee bend. Journal of Biomechanics. 49(9). 1794–1801. 14 indexed citations
20.
Johnson, Justin, et al.. (2012). Clinical and statistical correlation of various lumbar pathological conditions. Journal of Biomechanics. 46(4). 683–688.

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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