Jie Tao
- Information Systems top 0.5%
- Cloud Computing and Resource Management 47
-
- Distributed and Parallel Computing Systems 42
- Advanced Data Storage Technologies 23
- IoT and Edge/Fog Computing 10
- Interconnection Networks and Systems 8
-
- Scientific Computing and Data Management 14
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques 39
- Embedded Systems Design Techniques 7
- Artificial Intelligence top 5%
- Journals
- Technological Forecasting and Social Change (1 paper)Information Systems Research (1 paper)Future Generation Computer Systems (8 papers)
- Partner nations
- GermanyUnited StatesChina
In The Last Decade
Jie Tao
90 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Information Systems 1.3k
- Computer Networks and Communications 1.2k
- Information Systems and Management 210
- Hardware and Architecture 178
- Artificial Intelligence 471
Countries citing papers authored by Jie Tao
This map shows the geographic impact of Jie Tao'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 Jie Tao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jie Tao more than expected).
Fields of papers citing papers by Jie Tao
This network shows the impact of papers produced by Jie Tao. 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 Jie Tao. The network helps show where Jie Tao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jie Tao, 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 | 2025 | 0 | |
| 2 | 2024 | 11 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 8 | |
| 5 | 2022 | 14 | |
| 6 | 2020 | 9 | |
| 7 | 2020 | 161 | |
| 8 | 2019 | 7 | |
| 9 | 2017 | 60 | |
| 10 | 2015 | 10 | |
| 11 | 2014 | 6 | |
| 12 | 2014 | 4 | |
| 13 | A Study on Cloud Computing Service Auction with Compensation | 2013 | 1 |
| 14 | 2011 | 18 | |
| 15 | A Workflow Engine for Computing Clouds | 2011 | 3 |
| 16 | 2010 | 25 | |
| 17 | 2008 | 325 | |
| 18 | 2008 | 2 | |
| 19 | 2004 | 2 | |
| 20 | 2003 | 7 |
About Jie Tao
Jie Tao is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 96 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (47 papers), Distributed and Parallel Computing Systems (42 papers), Parallel Computing and Optimization Techniques (39 papers), Advanced Data Storage Technologies (23 papers), Scientific Computing and Data Management (14 papers), IoT and Edge/Fog Computing (10 papers), Interconnection Networks and Systems (8 papers) and Embedded Systems Design Techniques (7 papers). The work is most often cited by research in Information Systems (1.3k citations), Computer Networks and Communications (1.2k citations) and Information Systems and Management (210 citations). Jie Tao has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Lizhe Wang, M. Kunze, Gregor von Laszewski, Xing Fang, Achim Streit, Wolfgang Karl, Cheng Fu, Xi He, Andrew Younge and David Kramer. Their work appears in journals such as Technological Forecasting and Social Change, Information Systems Research and Future Generation Computer Systems.
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.