Yiping Kang
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- Advanced Neural Network Applications 5
- Augmented Reality Applications 2
- Graph Theory and Algorithms 2
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- IoT and Edge/Fog Computing 6
- Artificial Intelligence top 5%
- Topic Modeling 3
- Natural Language Processing Techniques 2
- Speech and dialogue systems 1
- Hardware and Architecture top 10%
- Neurology top 10%
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- Advanced Memory and Neural Computing 2
- Co-authors
- Lingjia TangJason MarsJohann HauswaldTrevor MudgeAustin RovinskiCao GaoRonald DreslinskiMichael A. Laurenzano
- Cited by
- Computer Vision and Pattern RecognitionComputer Networks and CommunicationsArtificial Intelligence
- Journals
- ACM Transactions on Computer Systems (1 paper)ACM SIGPLAN Notices (1 paper)ACM SIGOPS Operating Systems Review (1 paper)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Yiping Kang
11 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Computer Vision and Pattern Recognition 683
- Computer Networks and Communications 743
- Artificial Intelligence 425
- Hardware and Architecture 68
- Neurology 69
Countries citing papers authored by Yiping Kang
This map shows the geographic impact of Yiping 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 Yiping Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiping Kang more than expected).
Fields of papers citing papers by Yiping Kang
This network shows the impact of papers produced by Yiping 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 Yiping Kang. The network helps show where Yiping Kang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yiping 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 11 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 1 | |
| 4 | Multilingual Spoken Words Corpus | 2021 | 7 |
| 5 | 2018 | 15 | |
| 6 | 2017 | 111 | |
| 7 | Neurosurgeonbreakdown → | 2017 | 449 |
| 8 | Neurosurgeonbreakdown → | 2017 | 527 |
| 9 | 2017 | 17 | |
| 10 | 2016 | 13 | |
| 11 | 2015 | 127 | |
| 12 | 2015 | 13 |
About Yiping Kang
Yiping Kang is a scholar working on Computer Science Applications, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 1.3k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (6 papers), Advanced Neural Network Applications (5 papers), Topic Modeling (3 papers), Augmented Reality Applications (2 papers), Graph Theory and Algorithms (2 papers), Advanced Memory and Neural Computing (2 papers), Natural Language Processing Techniques (2 papers) and Speech and dialogue systems (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (683 citations), Computer Networks and Communications (743 citations) and Artificial Intelligence (425 citations). Yiping Kang has collaborated with scholars based in United States, China and India. Frequent co-authors include Lingjia Tang, Jason Mars, Johann Hauswald, Trevor Mudge, Austin Rovinski, Cao Gao, Ronald Dreslinski, Michael A. Laurenzano, Cheng Li and Quan Chen. Their work appears in journals such as ACM Transactions on Computer Systems, ACM SIGPLAN Notices and ACM SIGOPS Operating Systems Review.
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.