Jinliang Wei
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Hardware and Architecture top 5%
- Co-authors
- Eric P. XingQirong HoAbhimanu KumarXun ZhengWei DaiGarth A. GibsonSeunghak LeeYaoliang Yu
- Topics
- Parallel Computing and Optimization Techniques (6 papers)Cloud Computing and Resource Management (5 papers)Stochastic Gradient Optimization Techniques (5 papers)
- 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
- Computer Vision and Pattern Recognition 282
- Computer Networks and Communications 263
- Information Systems 204
- Hardware and Architecture 103
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 of co-authors of Jinliang Wei
This figure shows the co-authorship network connecting the top 25 collaborators of Jinliang Wei. A scholar is included among the top collaborators of Jinliang Wei 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 Jinliang Wei. Jinliang Wei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 28 | |
| 4 | 19 | |
| 5 | 38 | |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 53 | |
| 9 | 5 | |
| 10 | 93 | |
| 11 | 72 | |
| 12 | 76 | |
| 13 | 65 | |
| 14 | 104 | |
| 15 | Petuum: A New Platform for Distributed Machine Learning on Big Databreakdown → | 257 |
| 16 | 20 | |
| 17 | 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) and Stochastic Gradient Optimization Techniques (5 papers). 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 Nanotechnology, Journal of Retailing and Consumer Services and Biomolecules.
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.