Justin Johnson
Impact in
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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Advanced Vision and Imaging
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- Computer Graphics and Visualization Techniques
Papers in
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- Imbalanced Data Classification Techniques 24
- Machine Learning and Data Classification 11
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- Advanced Vision and Imaging 7
- Advanced Image and Video Retrieval Techniques 5
- Co-authors
- Taghi M. Khoshgoftaar (25 shared papers)Li Fei-Fei (3 shared papers)Agrim Gupta (1 shared paper)Bharath Hariharan (1 shared paper)Ross Girshick (1 shared paper)Laurens van der Maaten (1 shared paper)C. Lawrence Zitnick (1 shared paper)Ang Cao (2 shared papers)
- Journals
- Journal Of Big Data (4 papers)Journal of Biomechanics (2 papers)Scientific Reports (1 paper)Information Systems Frontiers (1 paper)International Journal of Reliability Quality and Safety Engineering (1 paper)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Justin Johnson
39 papers receiving 4.7k citations
Justin Johnson's Hit Papers
Peers
Comparison fields: 5 of 190
- Computer Vision and Pattern Recognition 2.6k
- Computer Graphics and Computer-Aided Design 353
- Artificial Intelligence 2.3k
- Health Information Management 186
- Health Informatics 51
Countries citing papers authored by Justin Johnson
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
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-authors
The 25 scholars most cited alongside Justin Johnson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Survey on deep learning with class imbalance Hit paper breakdown → | 2019 | 1765 |
| 2 | CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning Hit paper breakdown → | 2017 | 822 |
| 3 | Image retrieval using scene graphs Hit paper breakdown → | 2015 | 613 |
| 4 | Image Generation from Scene Graphs Hit paper breakdown → | 2018 | 453 |
| 5 | Accelerating 3D deep learning with PyTorch3D Hit paper breakdown → | 2020 | 334 |
| 6 | Mesh R-CNN Hit paper breakdown → | 2019 | 233 |
| 7 | HexPlane: A Fast Representation for Dynamic Scenes Hit paper breakdown → | 2023 | 160 |
| 8 | 2019 | 74 | |
| 9 | 2020 | 51 | |
| 10 | 2023 | 48 | |
| 11 | 2023 | 35 | |
| 12 | 2019 | 33 | |
| 13 | 2022 | 32 | |
| 14 | 2017 | 27 | |
| 15 | 2021 | 22 | |
| 16 | 2023 | 17 | |
| 17 | 2022 | 17 | |
| 18 | 2022 | 16 | |
| 19 | 2022 | 15 | |
| 20 | 2019 | 15 |
About Justin Johnson
Justin Johnson is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Health Information Management and Accounting, having authored 43 papers that have together received 4.9k indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (24 papers), Electricity Theft Detection Techniques (12 papers), Machine Learning and Data Classification (11 papers), Advanced Vision and Imaging (7 papers), Artificial Intelligence in Healthcare (6 papers), Financial Distress and Bankruptcy Prediction (6 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Robotics and Sensor-Based Localization (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.6k citations), Computer Graphics and Computer-Aided Design (353 citations), Artificial Intelligence (2.3k citations), Health Information Management (186 citations) and Health Informatics (51 citations). Justin Johnson has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Taghi M. Khoshgoftaar, Li Fei-Fei, Agrim Gupta, Bharath Hariharan, Ross Girshick, Laurens van der Maaten, C. Lawrence Zitnick, Ang Cao, Michael Stark and Michael S. Bernstein. Their work appears in journals such as Journal Of Big Data, Journal of Biomechanics, Scientific Reports, Information Systems Frontiers and International Journal of Reliability Quality and Safety Engineering.
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.