Ping Lang
Impact in
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- IoT and Edge/Fog Computing
- Age of Information Optimization
- Information Systems top 5%
- Blockchain Technology Applications and Security
- Cloud Computing and Resource Management
Papers in ⓘ
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- Privacy-Preserving Technologies in Data 6
- Target Tracking and Data Fusion in Sensor Networks 2
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- IoT and Edge/Fog Computing 4
- Co-authors
- Jianshan Zhou (7 shared papers)Daxin Tian (7 shared papers)Xuting Duan (6 shared papers)Dezong Zhao (1 shared paper)Yunpeng Wang (1 shared paper)Yue Cao (1 shared paper)Zhengguo Sheng (2 shared papers)Victor C. M. Leung (3 shared papers)
- Journals
- IEEE Transactions on Intelligent Vehicles (2 papers)Vehicular Communications (1 paper)IEEE Internet of Things Journal (1 paper)Aerospace Science and Technology (1 paper)Transactions on Emerging Telecommunications Technologies (1 paper)
- Partner nations
- ChinaUnited KingdomCanada
In The Last Decade
Ping Lang
11 papers receiving 380 citations
Hit Papers
Peers
Comparison fields: 5 of 41
- Computer Networks and Communications 272
- Information Systems 152
- Automotive Engineering 41
- Computer Science Applications 17
- Artificial Intelligence 93
Countries citing papers authored by Ping Lang
This map shows the geographic impact of Ping Lang'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 Lang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Lang more than expected).
Fields of papers citing papers by Ping Lang
This network shows the impact of papers produced by Ping Lang. 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 Lang. The network helps show where Ping Lang may publish in the future.
Co-authors
The 18 scholars most cited alongside Ping Lang, 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 | A Game-Based Computation Offloading Method in Vehicular Multiaccess Edge Computing Networks Hit paper breakdown → | 2020 | 213 |
| 2 | 2022 | 68 | |
| 3 | 2023 | 49 | |
| 4 | 2020 | 27 | |
| 5 | 2018 | 6 | |
| 6 | 2024 | 5 | |
| 7 | 2019 | 5 | |
| 8 | 2024 | 4 | |
| 9 | 2022 | 4 | |
| 10 | 2024 | 1 | |
| 11 | 2023 | 1 |
About Ping Lang
Ping Lang is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering and Aerospace Engineering, having authored 11 papers that have together received 383 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (6 papers), Blockchain Technology Applications and Security (5 papers), Vehicular Ad Hoc Networks (VANETs) (4 papers), IoT and Edge/Fog Computing (4 papers), Target Tracking and Data Fusion in Sensor Networks (2 papers), Inertial Sensor and Navigation (1 paper), Indoor and Outdoor Localization Technologies (1 paper) and Robotics and Sensor-Based Localization (1 paper). The work is most often cited by research in Computer Networks and Communications (272 citations), Information Systems (152 citations), Automotive Engineering (41 citations), Computer Science Applications (17 citations) and Artificial Intelligence (93 citations). Ping Lang has collaborated with scholars based in China, United Kingdom and Canada. Frequent co-authors include Jianshan Zhou, Daxin Tian, Xuting Duan, Dezong Zhao, Yunpeng Wang, Yue Cao, Zhengguo Sheng, Victor C. M. Leung, Chunmian Lin and Weiwen Deng. Their work appears in journals such as IEEE Transactions on Intelligent Vehicles, Vehicular Communications, IEEE Internet of Things Journal, Aerospace Science and Technology and Transactions on Emerging Telecommunications Technologies.
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.