Michelle Zhu
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Co-authors
- Fei CaoChase Q. WuMustafa Ibrahim KhaleelJun HuanTianyang WangDunren CheSultan AlfarhoodParisa Ghodous
- Topics
- Cloud Computing and Resource Management (22 papers)Distributed and Parallel Computing Systems (21 papers)IoT and Edge/Fog Computing (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessFuture Generation Computer Systems
- Partner nations
- United StatesChinaIraq
In The Last Decade
Michelle Zhu
64 papers receiving 450 citations
Peers
Comparison fields: 5 of 68
- Computer Networks and Communications 338
- Information Systems 257
- Electrical and Electronic Engineering 60
- Artificial Intelligence 54
- Computer Vision and Pattern Recognition 38
Countries citing papers authored by Michelle Zhu
This map shows the geographic impact of Michelle Zhu'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 Michelle Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle Zhu more than expected).
Fields of papers citing papers by Michelle Zhu
This network shows the impact of papers produced by Michelle Zhu. 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 Michelle Zhu. The network helps show where Michelle Zhu may publish in the future.
Co-authorship network of co-authors of Michelle Zhu
This figure shows the co-authorship network connecting the top 25 collaborators of Michelle Zhu. A scholar is included among the top collaborators of Michelle Zhu 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 Michelle Zhu. Michelle Zhu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 17 | |
| 12 | Design and Development of an Attendance Tracking and Early Warning System (AT-EAW) | 2 |
| 13 | Steerable Environmental Simulations for Exploratory Learning | 2 |
| 14 | 5 | |
| 15 | 5 | |
| 16 | 44 | |
| 17 | A Cooperative Game Theory-based Approach for Energy-Aware Job Scheduling in Cloud. | 1 |
| 18 | 1 | |
| 19 | 3 | |
| 20 | Fusion of threshold rules for target detection in sensor networks | 0 |
About Michelle Zhu
Michelle Zhu is a scholar working on Computer Networks and Communications, Information Systems and Computer Science Applications, having authored 69 papers that have together received 462 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (22 papers), Distributed and Parallel Computing Systems (21 papers) and IoT and Edge/Fog Computing (14 papers). The work is most often cited by research in Computer Networks and Communications (338 citations), Information Systems (257 citations) and Hardware and Architecture (32 citations). Michelle Zhu has collaborated with scholars based in United States, China and Iraq. Frequent co-authors include Fei Cao, Chase Q. Wu, Mustafa Ibrahim Khaleel, Jun Huan, Tianyang Wang, Dunren Che, Sultan Alfarhood, Parisa Ghodous, Mejdl Safran and Weitian Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access 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.