Jike Chong
- Artificial Intelligence top 10%
- Signal Processing top 5%
- Hardware and Architecture top 5%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Kurt KeutzerYoungmin YiNadathur SatishEkaterina GoninaBryan CatanzaroKaushik RavindranIan LaneAlberto Sangiovanni‐Vincentelli
- Topics
- Speech Recognition and Synthesis (10 papers)Parallel Computing and Optimization Techniques (8 papers)Natural Language Processing Techniques (6 papers)
- Partner nations
- United StatesSouth KoreaGermany
In The Last Decade
Jike Chong
23 papers receiving 290 citations
Peers
Comparison fields: 5 of 39
- Artificial Intelligence 157
- Signal Processing 135
- Hardware and Architecture 100
- Computer Networks and Communications 96
- Computer Vision and Pattern Recognition 75
Countries citing papers authored by Jike Chong
This map shows the geographic impact of Jike Chong'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 Jike Chong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jike Chong more than expected).
Fields of papers citing papers by Jike Chong
This network shows the impact of papers produced by Jike Chong. 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 Jike Chong. The network helps show where Jike Chong may publish in the future.
Co-authorship network of co-authors of Jike Chong
This figure shows the co-authorship network connecting the top 25 collaborators of Jike Chong. A scholar is included among the top collaborators of Jike Chong 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 Jike Chong. Jike Chong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 5 | |
| 3 | 3 | |
| 4 | An Automatic Speech Recognition Application Framework for Highly Parallel Implementations on the GPU | 0 |
| 5 | 13 | |
| 6 | Considerations when evaluating microprocessor platforms | 4 |
| 7 | 6 | |
| 8 | Opportunities and challenges of parallelizing speech recognition | 10 |
| 9 | Missing Feature Audiovisual Speech Recognition under Real-Time Constraints. | 1 |
| 10 | Pattern-oriented application frameworks for domain experts to effectively utilize highly parallel manycore microprocessors | 5 |
| 11 | 9 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 9 | |
| 15 | 31 | |
| 16 | 11 | |
| 17 | Data-Parallel Large Vocabulary Continuous Speech Recognition on Graphics Processors | 30 |
| 18 | 68 | |
| 19 | Concurrent Embedded Design for Multimedia: JPEG encoding on Xilinx FPGA Case Study | 0 |
| 20 | Classification, Customization, and Characterization: Using MILP for Task Allocation and Scheduling | 30 |
About Jike Chong
Jike Chong is a scholar working on Hardware and Architecture, Signal Processing and Artificial Intelligence, having authored 25 papers that have together received 323 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (10 papers), Parallel Computing and Optimization Techniques (8 papers) and Natural Language Processing Techniques (6 papers). The work is most often cited by research in Hardware and Architecture (100 citations), Signal Processing (135 citations) and Artificial Intelligence (157 citations). Jike Chong has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Kurt Keutzer, Youngmin Yi, Nadathur Satish, Ekaterina Gonina, Bryan Catanzaro, Kaushik Ravindran, Ian Lane, Alberto Sangiovanni‐Vincentelli, Wonyong Sung and Qi Zhu. Their work appears in journals such as IEEE Signal Processing Magazine, World Wide Web and AI Communications.
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.