Zhida Mai
Impact in
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- IoT and Edge/Fog Computing
- Caching and Content Delivery
- Information Systems top 5%
- Recommender Systems and Techniques
- Cloud Computing and Resource Management
- Service-Oriented Architecture and Web Services
Papers in
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- Reproductive tract infections research 6
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- Caching and Content Delivery 3
- Co-authors
- Yuyu Yin (3 shared papers)Yueshen Xu (3 shared papers)He Zhang (2 shared papers)Jian Wan (1 shared paper)Lu Chen (1 shared paper)Rui Li (1 shared paper)Honghao Gao (1 shared paper)Lifeng Yu (1 shared paper)
- Journals
- Mobile Networks and Applications (1 paper)IEEE Transactions on Cognitive Communications and Networking (1 paper)Frontiers in Public Health (1 paper)IEEE Access (1 paper)Advanced Healthcare Materials (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Zhida Mai
10 papers receiving 408 citations
Peers
Comparison fields: 5 of 88
- Computer Networks and Communications 198
- Information Systems 164
- Microbiology 29
- Transportation 25
- Computer Vision and Pattern Recognition 71
Countries citing papers authored by Zhida Mai
This map shows the geographic impact of Zhida Mai'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 Zhida Mai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhida Mai more than expected).
Fields of papers citing papers by Zhida Mai
This network shows the impact of papers produced by Zhida Mai. 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 Zhida Mai. The network helps show where Zhida Mai may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhida Mai, 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 | 2019 | 200 | |
| 2 | 2020 | 108 | |
| 3 | 2019 | 53 | |
| 4 | 2017 | 22 | |
| 5 | 2021 | 13 | |
| 6 | 2024 | 5 | |
| 7 | 2017 | 5 | |
| 8 | 2020 | 4 | |
| 9 | 2022 | 4 | |
| 10 | 2021 | 2 | |
| 11 | 2025 | 0 | |
| 12 | 2025 | 0 |
About Zhida Mai
Zhida Mai is a scholar working on Microbiology, Computer Networks and Communications, Information Systems, Surgery and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 416 indexed citations. Recurring topics across this work include Reproductive tract infections research (6 papers), Recommender Systems and Techniques (3 papers), Caching and Content Delivery (3 papers), Image and Video Quality Assessment (2 papers), Digital Marketing and Social Media (1 paper), Immunotherapy and Immune Responses (1 paper), Advanced Fiber Optic Sensors (1 paper) and Urticaria and Related Conditions (1 paper). The work is most often cited by research in Computer Networks and Communications (198 citations), Information Systems (164 citations), Microbiology (29 citations), Transportation (25 citations) and Computer Vision and Pattern Recognition (71 citations). Zhida Mai has collaborated with scholars based in China and United States. Frequent co-authors include Yuyu Yin, Yueshen Xu, He Zhang, Jian Wan, Lu Chen, Rui Li, Honghao Gao, Lifeng Yu, Weipeng Zhang and Heping Zheng. Their work appears in journals such as Mobile Networks and Applications, IEEE Transactions on Cognitive Communications and Networking, Frontiers in Public Health, IEEE Access and Advanced Healthcare Materials.
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.