Daniel D. Kang
Impact in
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- Advanced Database Systems and Queries
- IoT and Edge/Fog Computing
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Video Analysis and Summarization
Papers in
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- Advanced Database Systems and Queries 14
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- Adversarial Robustness in Machine Learning 9
- Topic Modeling 6
- Machine Learning and Data Classification 3
- Co-authors
- Matei Zaharia (16 shared papers)Peter D. Bailis (13 shared papers)John Emmons (2 shared papers)Firas Abuzaid (2 shared papers)Tatsunori Hashimoto (10 shared papers)Ion Gabriel Stoica (2 shared papers)Marco Pavone (1 shared paper)Apoorva Sharma (1 shared paper)
- Journals
- Proceedings of the VLDB Endowment (10 papers)Autonomous Robots (1 paper)PLoS ONE (1 paper)Bioinformatics (1 paper)Mathematical Research Letters (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Daniel D. Kang
36 papers receiving 1k citations
Peers
Comparison fields: 5 of 61
- Computer Networks and Communications 399
- Computer Vision and Pattern Recognition 342
- Hardware and Architecture 73
- Artificial Intelligence 282
- Signal Processing 66
Countries citing papers authored by Daniel D. Kang
This map shows the geographic impact of Daniel D. 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 D. 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 D. Kang more than expected).
Fields of papers citing papers by Daniel D. Kang
This network shows the impact of papers produced by Daniel D. 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 D. Kang. The network helps show where Daniel D. Kang may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel D. 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 274 | |
| 2 | 2019 | 98 | |
| 3 | 2023 | 73 | |
| 4 | 2019 | 72 | |
| 5 | 2019 | 71 | |
| 6 | 2024 | 60 | |
| 7 | 2020 | 54 | |
| 8 | 2024 | 39 | |
| 9 | 2023 | 35 | |
| 10 | 2020 | 33 | |
| 11 | 2015 | 28 | |
| 12 | 2024 | 25 | |
| 13 | 2022 | 19 | |
| 14 | LIT: Learned Intermediate Representation Training for Model Compression | 2019 | 18 |
| 15 | 2020 | 18 | |
| 16 | 2022 | 17 | |
| 17 | MLPerf Training Benchmark | 2020 | 15 |
| 18 | 2021 | 15 | |
| 19 | Challenges and Opportunities in DNN-Based Video Analytics: A Demonstration of the BlazeIt Video Query Engine. | 2019 | 14 |
| 20 | 2024 | 13 |
About Daniel D. Kang
Daniel D. Kang is a scholar working on Computer Networks and Communications, Artificial Intelligence, Hardware and Architecture, Computer Vision and Pattern Recognition and Information Systems and Management, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (14 papers), Adversarial Robustness in Machine Learning (9 papers), Topic Modeling (6 papers), Advanced Neural Network Applications (6 papers), Parallel Computing and Optimization Techniques (4 papers), Software Engineering Research (3 papers), Machine Learning and Data Classification (3 papers) and Scientific Computing and Data Management (3 papers). The work is most often cited by research in Computer Networks and Communications (399 citations), Computer Vision and Pattern Recognition (342 citations), Hardware and Architecture (73 citations), Artificial Intelligence (282 citations) and Signal Processing (66 citations). Daniel D. Kang has collaborated with scholars based in United States and China. Frequent co-authors include Matei Zaharia, Peter D. Bailis, John Emmons, Firas Abuzaid, Tatsunori Hashimoto, Ion Gabriel Stoica, Marco Pavone, Apoorva Sharma, Sandeep Chinchali and S. Katti. Their work appears in journals such as Proceedings of the VLDB Endowment, Autonomous Robots, PLoS ONE, Bioinformatics and Mathematical Research Letters.
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.