Ping Lang

500 total citations · 1 hit paper
11 papers, 383 citations indexed

About

Ping Lang is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Ping Lang has authored 11 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Computer Networks and Communications and 5 papers in Information Systems. Recurrent topics in Ping Lang's work include Privacy-Preserving Technologies in Data (6 papers), Blockchain Technology Applications and Security (5 papers) and IoT and Edge/Fog Computing (4 papers). Ping Lang is often cited by papers focused on Privacy-Preserving Technologies in Data (6 papers), Blockchain Technology Applications and Security (5 papers) and IoT and Edge/Fog Computing (4 papers). Ping Lang collaborates with scholars based in China, United Kingdom and Canada. Ping Lang's co-authors include Jianshan Zhou, Daxin Tian, Xuting Duan, Yunpeng Wang, Dezong Zhao, Yue Cao, Victor C. M. Leung, Zhengguo Sheng, Chunmian Lin and Weiwen Deng and has published in prestigious journals such as IEEE Internet of Things Journal, Computer Networks and Aerospace Science and Technology.

In The Last Decade

Ping Lang

11 papers receiving 380 citations

Hit Papers

A Game-Based Computation Offloading Method in Vehicular M... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ping Lang China 6 272 152 151 93 41 11 383
Amirhosein Taherkordi Norway 9 281 1.0× 111 0.7× 145 1.0× 112 1.2× 30 0.7× 15 393
Jingyun Feng Japan 5 352 1.3× 160 1.1× 277 1.8× 105 1.1× 74 1.8× 8 462
Muhammad Rizwan Anwar China 4 312 1.1× 125 0.8× 245 1.6× 107 1.2× 37 0.9× 5 399
Yueyi Luo China 5 247 0.9× 99 0.7× 102 0.7× 113 1.2× 34 0.8× 8 357
Naram Mhaisen Qatar 11 219 0.8× 97 0.6× 152 1.0× 278 3.0× 29 0.7× 22 521
Suchetana Chakraborty India 8 313 1.2× 159 1.0× 137 0.9× 53 0.6× 15 0.4× 45 406
Tarak Nandy Malaysia 10 258 0.9× 185 1.2× 189 1.3× 87 0.9× 28 0.7× 17 461
Tianpeng Ye China 8 261 1.0× 91 0.6× 134 0.9× 105 1.1× 26 0.6× 12 361
Yajuan Qin China 11 406 1.5× 67 0.4× 230 1.5× 61 0.7× 40 1.0× 49 463
Anselme Ndikumana South Korea 12 335 1.2× 64 0.4× 151 1.0× 60 0.6× 24 0.6× 23 416

Countries citing papers authored by Ping Lang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ping Lang

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Lang. A scholar is included among the top collaborators of Ping Lang 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 Lang. Ping Lang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Lang, Ping, et al.. (2024). A hybrid optimization method based on extreme learning machine aided factor graph for INS/GPS information fusion during GPS outages. Aerospace Science and Technology. 152. 109326–109326. 4 indexed citations
2.
Lang, Ping, et al.. (2024). A hybrid optimization method based on DBO-tuning BiGRU assisted AKF for seamless INS/GPS navigation. GPS Solutions. 29(1). 1 indexed citations
3.
Lang, Ping, Daxin Tian, Xu Han, et al.. (2024). Towards 6G vehicular networks: Vision, technologies, and open challenges. Computer Networks. 257. 110916–110916. 5 indexed citations
4.
Lang, Ping, Daxin Tian, Xuting Duan, & Jianshan Zhou. (2023). Multi-Destination Cooperative Task Offloading in Blockchain-Based Vehicular Edge Computing Networks. 193–198. 1 indexed citations
5.
Lang, Ping, Daxin Tian, Xuting Duan, et al.. (2023). Blockchain-Based Cooperative Computation Offloading and Secure Handover in Vehicular Edge Computing Networks. IEEE Transactions on Intelligent Vehicles. 8(7). 3839–3853. 49 indexed citations
6.
Lang, Ping, Daxin Tian, Xuting Duan, & Jianshan Zhou. (2022). Mobility-Aware Computation Offloading and Blockchain-based Handover in Vehicular Edge Computing Networks. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). 176–182. 4 indexed citations
7.
Lang, Ping, Daxin Tian, Xuting Duan, et al.. (2022). Cooperative Computation Offloading in Blockchain-Based Vehicular Edge Computing Networks. IEEE Transactions on Intelligent Vehicles. 7(3). 783–798. 68 indexed citations
8.
Wang, Yunpeng, Ping Lang, Daxin Tian, et al.. (2020). A Game-Based Computation Offloading Method in Vehicular Multiaccess Edge Computing Networks. IEEE Internet of Things Journal. 7(6). 4987–4996. 213 indexed citations breakdown →
9.
Tian, Daxin, et al.. (2020). A Camera–Radar Fusion Method Based on Edge Computing. 9–14. 27 indexed citations
10.
Lang, Ping, Jian Wang, Fang Mei, & Weiwen Deng. (2019). A vehicle's weight‐based prioritized reciprocity MAC. Transactions on Emerging Telecommunications Technologies. 30(12). 5 indexed citations
11.
Wang, Jian, et al.. (2018). Application-value-awareness cross-layer MAC cooperative game for vehicular networks. Vehicular Communications. 13. 27–37. 6 indexed citations

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.

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