Jike Chong

494 citations
25 papers · 322 · h-index 10

Impact in

    • Parallel Computing and Optimization Techniques
    • Embedded Systems Design Techniques
    • Speech and Audio Processing
    • Music and Audio Processing
    • Video Coding and Compression Technologies

Papers in

    • Speech Recognition and Synthesis 10
    • Natural Language Processing Techniques 6
    • Speech and dialogue systems 3
    • Parallel Computing and Optimization Techniques 8
    • Network Packet Processing and Optimization 3

Jike Chong

23 papers receiving 289 citations

Peers

Jike Chong
Comparison fields: 5 of 39
  • Hardware and Architecture 98
  • Signal Processing 135
  • Artificial Intelligence 157
  • Computer Networks and Communications 94
  • Computer Vision and Pattern Recognition 75
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Citations per field
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Citations per year

Countries citing papers authored by Jike Chong

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Jike Chong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jike Chong Line = papers co-authored together Jike Chong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200768
2 200934
3 200931
4
Classification, Customization, and Characterization: Using MILP for Task Allocation and Scheduling
200630
5
Data-Parallel Large Vocabulary Continuous Speech Recognition on Graphics Processors
200830
6 201821
7 201215
8 201213
9
Opportunities and challenges of parallelizing speech recognition
201010
10 200910
11 20109
12 20109
13 20098
14 20116
15
Pattern-oriented application frameworks for domain experts to effectively utilize highly parallel manycore microprocessors
20105
16 20135
17 20124
18
Considerations when evaluating microprocessor platforms
20114
19 20103
20 20103

About Jike Chong

Jike Chong is a scholar working on Artificial Intelligence, Hardware and Architecture, Signal Processing, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 322 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (10 papers), Parallel Computing and Optimization Techniques (8 papers), Natural Language Processing Techniques (6 papers), Speech and Audio Processing (5 papers), Music and Audio Processing (4 papers), Network Packet Processing and Optimization (3 papers), Speech and dialogue systems (3 papers) and Interconnection Networks and Systems (3 papers). The work is most often cited by research in Hardware and Architecture (98 citations), Signal Processing (135 citations), Artificial Intelligence (157 citations), Computer Networks and Communications (94 citations) and Computer Vision and Pattern Recognition (75 citations). Jike Chong has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Kurt Keutzer, Nadathur Satish, Youngmin Yi, Ekaterina Gonina, Kaushik Ravindran, Bryan Catanzaro, Ian Lane, Wonyong Sung, Qi Zhu and Christopher J. Hughes. Their work appears in journals such as IEEE Signal Processing Magazine, World Wide Web, AI Communications, UC Berkeley and arXiv (Cornell University).

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.

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