Ping Zhao
- Artificial Intelligence top 2%
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Sociology and Political Science top 10%
- Information Systems top 5%
- Topics
- Privacy-Preserving Technologies in Data (28 papers)Mobile Crowdsensing and Crowdsourcing (11 papers)Cryptography and Data Security (10 papers)
- Journals
- Remote Sensing of EnvironmentACM Computing SurveysIEEE Transactions on Vehicular Technology
- Partner nations
- ChinaUnited StatesAustria
In The Last Decade
Ping Zhao
52 papers receiving 959 citations
Peers
Comparison fields: 5 of 84
- Artificial Intelligence 523
- Computer Networks and Communications 301
- Electrical and Electronic Engineering 296
- Sociology and Political Science 153
- Information Systems 141
Countries citing papers authored by Ping Zhao
This map shows the geographic impact of Ping Zhao'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 Ping Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Zhao more than expected).
Fields of papers citing papers by Ping Zhao
This network shows the impact of papers produced by Ping Zhao. 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 Ping Zhao. The network helps show where Ping Zhao may publish in the future.
Co-authorship network of co-authors of Ping Zhao
This figure shows the co-authorship network connecting the top 25 collaborators of Ping Zhao. A scholar is included among the top collaborators of Ping Zhao 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 Ping Zhao. Ping Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 14 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 17 | |
| 11 | 1 | |
| 12 | 140 | |
| 13 | 116 | |
| 14 | 12 | |
| 15 | 30 | |
| 16 | 51 | |
| 17 | 90 | |
| 18 | Task Driven Geometric Synthesis of Planar and Spherical Mechanisms | 0 |
| 19 | Research and application of the fault information integration and intelligent analysis in distributed grid | 0 |
| 20 | Implementation of Precise Clock Syncronization Software Based on IEEE1588 Protocol | 1 |
About Ping Zhao
Ping Zhao is a scholar working on Computer Science Applications, Artificial Intelligence and Computer Networks and Communications, having authored 64 papers that have together received 980 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (28 papers), Mobile Crowdsensing and Crowdsourcing (11 papers) and Cryptography and Data Security (10 papers). The work is most often cited by research in Computer Science Applications (122 citations), Artificial Intelligence (523 citations) and Computer Networks and Communications (301 citations). Ping Zhao has collaborated with scholars based in China, United States and Austria. Frequent co-authors include Hongbo Jiang, Guanglin Zhang, Zhu Xiao, Jie Li, Chen Wang, Mengyuan Wang, Schahram Dustdar, Fanzi Zeng, Arun Iyengar and Fu Xiao. Their work appears in journals such as Remote Sensing of Environment, ACM Computing Surveys and IEEE Transactions on Vehicular Technology.
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.