Daniel Kang
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Video Analysis and Summarization
- Human Pose and Action Recognition
- Image and Video Quality Assessment
- Artificial Intelligence top 10%
- Anomaly Detection Techniques and Applications
Papers in
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- Machine Learning and Algorithms 3
- Natural Language Processing Techniques 3
- Topic Modeling 3
- Data Stream Mining Techniques 3
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- Advanced Image and Video Retrieval Techniques 8
- Human Pose and Action Recognition 5
- Advanced Neural Network Applications 3
- Multimodal Machine Learning Applications 3
- Co-authors
- Matei Zaharia (16 shared papers)Peter Bailis (13 shared papers)Firas Abuzaid (3 shared papers)John Emmons (3 shared papers)Tatsunori Hashimoto (9 shared papers)Ion Stoica (2 shared papers)David K. Gifford (3 shared papers)Natasha A. Emmerson (1 shared paper)
- Journals
- Proceedings of the VLDB Endowment (7 papers)Bioinformatics (1 paper)Genome Research (1 paper)Mental health and physical activity (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesJamaicaIreland
In The Last Decade
Daniel Kang
31 papers receiving 712 citations
Peers
Comparison fields: 5 of 79
- Computer Vision and Pattern Recognition 379
- Artificial Intelligence 231
- Signal Processing 59
- Physical Therapy, Sports Therapy and Rehabilitation 17
- Computer Networks and Communications 96
Countries citing papers authored by Daniel Kang
This map shows the geographic impact of Daniel Kang'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 Daniel Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Kang more than expected).
Fields of papers citing papers by Daniel Kang
This network shows the impact of papers produced by Daniel Kang. 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 Daniel Kang. The network helps show where Daniel Kang may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Kang, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 248 | |
| 2 | 2013 | 94 | |
| 3 | 2019 | 60 | |
| 4 | 2023 | 49 | |
| 5 | 2024 | 37 | |
| 6 | 2015 | 30 | |
| 7 | 2020 | 26 | |
| 8 | LIT: Learned Intermediate Representation Training for Model Compression | 2019 | 19 |
| 9 | 2024 | 19 | |
| 10 | 2024 | 15 | |
| 11 | BlazeIt: Fast Exploratory Video Queries using Neural Networks. | 2018 | 14 |
| 12 | 2022 | 13 | |
| 13 | 2020 | 13 | |
| 14 | 2016 | 12 | |
| 15 | 2022 | 12 | |
| 16 | Challenges and Opportunities in DNN-Based Video Analytics: A Demonstration of the BlazeIt Video Query Engine. | 2019 | 11 |
| 17 | 2024 | 10 | |
| 18 | NoScope: Optimizing Deep CNN-Based Queries over Video Streams at Scale. | 2017 | 9 |
| 19 | 2024 | 9 | |
| 20 | 2022 | 9 |
About Daniel Kang
Daniel Kang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Computer Networks and Communications and Signal Processing, having authored 35 papers that have together received 735 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (8 papers), Human Pose and Action Recognition (5 papers), Machine Learning and Algorithms (3 papers), Natural Language Processing Techniques (3 papers), Advanced Neural Network Applications (3 papers), Multimodal Machine Learning Applications (3 papers), Topic Modeling (3 papers) and Data Stream Mining Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (379 citations), Artificial Intelligence (231 citations), Signal Processing (59 citations), Physical Therapy, Sports Therapy and Rehabilitation (17 citations) and Computer Networks and Communications (96 citations). Daniel Kang has collaborated with scholars based in United States, Jamaica and Ireland. Frequent co-authors include Matei Zaharia, Peter Bailis, Firas Abuzaid, John Emmons, Tatsunori Hashimoto, Ion Stoica, David K. Gifford, Natasha A. Emmerson, Kimberley D. Lakes and Haoyang Zeng. Their work appears in journals such as Proceedings of the VLDB Endowment, Bioinformatics, Genome Research, Mental health and physical activity and PLoS ONE.
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.