Tae Jun Ham
Impact in
- Hardware and Architecture top 1%
- Parallel Computing and Optimization Techniques
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- Advanced Data Storage Technologies
- Interconnection Networks and Systems
- Caching and Content Delivery
Papers in
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- Advanced Data Storage Technologies 16
- Caching and Content Delivery 4
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- Parallel Computing and Optimization Techniques 15
- Co-authors
- Margaret Martonosi (6 shared papers)Narayanan Sundaram (2 shared papers)Nadathur Satish (2 shared papers)Lisa Wu (2 shared papers)Jae W. Lee (16 shared papers)Yejin Lee (7 shared papers)Juan L. Aragón (4 shared papers)Sung Jun Jung (4 shared papers)
- Journals
- IEEE Micro (2 papers)ACM Transactions on Embedded Computing Systems (1 paper)IEEE Transactions on Computers (1 paper)ACM Transactions on Storage (1 paper)ACM Transactions on Architecture and Code Optimization (2 papers)
- Partner nations
- South KoreaUnited StatesSpain
In The Last Decade
Tae Jun Ham
29 papers receiving 838 citations
Peers
Comparison fields: 5 of 37
- Hardware and Architecture 473
- Computer Networks and Communications 432
- Computer Vision and Pattern Recognition 324
- Artificial Intelligence 285
- Information Systems 199
Countries citing papers authored by Tae Jun Ham
This map shows the geographic impact of Tae Jun Ham'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 Tae Jun Ham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tae Jun Ham more than expected).
Fields of papers citing papers by Tae Jun Ham
This network shows the impact of papers produced by Tae Jun Ham. 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 Tae Jun Ham. The network helps show where Tae Jun Ham may publish in the future.
Co-authors
The 25 scholars most cited alongside Tae Jun Ham, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 221 | |
| 2 | 2016 | 127 | |
| 3 | 2021 | 99 | |
| 4 | 2020 | 75 | |
| 5 | 2013 | 47 | |
| 6 | 2015 | 42 | |
| 7 | Asynchronous I/O Stack: A Low-latency Kernel I/O Stack for Ultra-Low Latency SSDs. | 2019 | 27 |
| 8 | 2021 | 26 | |
| 9 | 2021 | 22 | |
| 10 | 2020 | 22 | |
| 11 | 2022 | 17 | |
| 12 | 2020 | 16 | |
| 13 | 2020 | 16 | |
| 14 | 2019 | 13 | |
| 15 | FlashNeuron: SSD-Enabled Large-Batch Training of Very Deep Neural Networks | 2021 | 12 |
| 16 | Practical erase suspension for modern low-latency SSDs | 2019 | 9 |
| 17 | 2020 | 9 | |
| 18 | 2021 | 8 | |
| 19 | 2017 | 8 | |
| 20 | ASAP: Fast Mobile Application Switch via Adaptive Prepaging. | 2021 | 7 |
About Tae Jun Ham
Tae Jun Ham is a scholar working on Computer Networks and Communications, Hardware and Architecture, Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, having authored 30 papers that have together received 863 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (16 papers), Parallel Computing and Optimization Techniques (15 papers), Cloud Computing and Resource Management (8 papers), Caching and Content Delivery (4 papers), Advanced Neural Network Applications (4 papers), Algorithms and Data Compression (4 papers), Advanced Graph Neural Networks (3 papers) and Graph Theory and Algorithms (3 papers). The work is most often cited by research in Hardware and Architecture (473 citations), Computer Networks and Communications (432 citations), Computer Vision and Pattern Recognition (324 citations), Artificial Intelligence (285 citations) and Information Systems (199 citations). Tae Jun Ham has collaborated with scholars based in South Korea, United States and Spain. Frequent co-authors include Margaret Martonosi, Narayanan Sundaram, Nadathur Satish, Lisa Wu, Jae W. Lee, Yejin Lee, Juan L. Aragón, Sung Jun Jung, Hyun‐Ji Choi and Eojin Lee. Their work appears in journals such as IEEE Micro, ACM Transactions on Embedded Computing Systems, IEEE Transactions on Computers, ACM Transactions on Storage and ACM Transactions on Architecture and Code Optimization.
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.