Jinliang Wei
- Artificial Intelligence top 2%
- Stochastic Gradient Optimization Techniques 5
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques 6
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- Graph Theory and Algorithms 4
- Advanced Neural Network Applications 2
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- Distributed and Parallel Computing Systems 2
- Advanced Data Storage Technologies 2
- Information Systems top 5%
- Cloud Computing and Resource Management 5
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- Structural Analysis and Optimization 1
- Co-authors
- Eric P. XingQirong HoAbhimanu KumarXun ZhengWei DaiGarth A. GibsonSeunghak LeeYaoliang Yu
- Journals
- Journal of Retailing and Consumer Services (1 paper)IEEE Transactions on Big Data (1 paper)Biomolecules (1 paper)
- Partner nations
- United StatesSingaporeChina
In The Last Decade
Jinliang Wei
17 papers receiving 817 citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Artificial Intelligence 547
- Hardware and Architecture 103
- Computer Vision and Pattern Recognition 282
- Computer Networks and Communications 263
- Information Systems 204
Countries citing papers authored by Jinliang Wei
This map shows the geographic impact of Jinliang Wei'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 Jinliang Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinliang Wei more than expected).
Fields of papers citing papers by Jinliang Wei
This network shows the impact of papers produced by Jinliang Wei. 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 Jinliang Wei. The network helps show where Jinliang Wei may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jinliang Wei, 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 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2022 | 28 | |
| 4 | 2021 | 19 | |
| 5 | 2021 | 38 | |
| 6 | 2019 | 2 | |
| 7 | 2019 | 10 | |
| 8 | 2018 | 53 | |
| 9 | 2018 | 5 | |
| 10 | 2016 | 93 | |
| 11 | 2015 | 72 | |
| 12 | 2015 | 76 | |
| 13 | 2015 | 65 | |
| 14 | 2015 | 104 | |
| 15 | Petuum: A New Platform for Distributed Machine Learning on Big Databreakdown → | 2015 | 257 |
| 16 | 2014 | 20 | |
| 17 | 2011 | 1 |
About Jinliang Wei
Jinliang Wei is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition and Information Systems, having authored 17 papers that have together received 845 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (6 papers), Cloud Computing and Resource Management (5 papers), Stochastic Gradient Optimization Techniques (5 papers), Graph Theory and Algorithms (4 papers), Distributed and Parallel Computing Systems (2 papers), Advanced Neural Network Applications (2 papers), Advanced Data Storage Technologies (2 papers) and Structural Analysis and Optimization (1 paper). The work is most often cited by research in Artificial Intelligence (547 citations), Hardware and Architecture (103 citations) and Computer Vision and Pattern Recognition (282 citations). Jinliang Wei has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Eric P. Xing, Qirong Ho, Abhimanu Kumar, Xun Zheng, Wei Dai, Garth A. Gibson, Seunghak Lee, Yaoliang Yu, Pengtao Xie and Phillip B. Gibbons. Their work appears in journals such as Journal of Retailing and Consumer Services, IEEE Transactions on Big Data, Biomolecules, Animals and Textile Research Journal.
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.