Ming Cheng

977 total citations
69 papers, 716 citations indexed

About

Ming Cheng is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering and Computer Networks and Communications. According to data from OpenAlex, Ming Cheng has authored 69 papers receiving a total of 716 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Electrical and Electronic Engineering, 22 papers in Aerospace Engineering and 20 papers in Computer Networks and Communications. Recurrent topics in Ming Cheng's work include Advanced Wireless Communication Technologies (14 papers), Satellite Communication Systems (14 papers) and Advanced MIMO Systems Optimization (12 papers). Ming Cheng is often cited by papers focused on Advanced Wireless Communication Technologies (14 papers), Satellite Communication Systems (14 papers) and Advanced MIMO Systems Optimization (12 papers). Ming Cheng collaborates with scholars based in China, Canada and United States. Ming Cheng's co-authors include Min Lin, Jun-Bo Wang, Kanjian Zhang, Xiang Wu, Jin‐Yuan Wang, Julian Cheng, Wei‐Ping Zhu, Wei Hua, Longya Xu and Yongpeng Wu and has published in prestigious journals such as IEEE Access, IEEE Journal on Selected Areas in Communications and Sensors.

In The Last Decade

Ming Cheng

65 papers receiving 708 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Cheng China 15 433 248 173 154 46 69 716
Long Jiao United States 18 726 1.7× 207 0.8× 250 1.4× 107 0.7× 292 6.3× 42 1.1k
Yijing Xie China 14 239 0.6× 33 0.1× 276 1.6× 291 1.9× 29 0.6× 59 776
M. Habib Ullah Malaysia 13 261 0.6× 264 1.1× 26 0.2× 108 0.7× 30 0.7× 58 559
Yajun Zhao China 13 348 0.8× 143 0.6× 75 0.4× 49 0.3× 40 0.9× 39 553
Jian Qiao China 14 1.0k 2.3× 308 1.2× 452 2.6× 116 0.8× 45 1.0× 71 1.3k
Xiaohong Wang China 14 107 0.2× 78 0.3× 151 0.9× 107 0.7× 34 0.7× 50 526
Yuan Chen China 15 197 0.5× 61 0.2× 34 0.2× 428 2.8× 58 1.3× 66 847

Countries citing papers authored by Ming Cheng

Since Specialization
Citations

This map shows the geographic impact of Ming Cheng'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 Ming Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Cheng more than expected).

Fields of papers citing papers by Ming Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming Cheng. 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 Ming Cheng. The network helps show where Ming Cheng may publish in the future.

Co-authorship network of co-authors of Ming Cheng

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

All Works

20 of 20 papers shown
1.
Wang, Jin‐Yuan, et al.. (2024). Joint Task Offloading and Resource Allocation for Integrated VLC and Sensing in Digital Twin-Aided Vehicular Edge Computing Networks. IEEE Transactions on Vehicular Technology. 74(4). 6360–6372. 1 indexed citations
2.
Cheng, Ming, et al.. (2024). RL and DRL Based Distributed User Access Schemes in Multi-UAV Networks. IEEE Transactions on Vehicular Technology. 74(3). 5241–5246. 4 indexed citations
3.
Cheng, Ming, et al.. (2023). An O-MAPPO scheme for joint computation offloading and resources allocation in UAV assisted MEC systems. Computer Communications. 208. 190–199. 7 indexed citations
4.
Cheng, Ming, et al.. (2023). Combined UAV positioning with robust beamforming and IRS-enhanced NOMA transmission in cognitive UAV networks. AEU - International Journal of Electronics and Communications. 168. 154727–154727. 4 indexed citations
5.
Wang, Yiran, et al.. (2023). A Convolution–Non-Convolution Parallel Deep Network for Electricity Theft Detection. Sustainability. 15(13). 10127–10127. 6 indexed citations
6.
Ding, Changfeng, Jun-Bo Wang, Yijian Chen, et al.. (2023). Satellite-Terrestrial Assisted Multi-Tier Computing Networks With MIMO Precoding and Computation Optimization. IEEE Transactions on Wireless Communications. 23(4). 3763–3779. 10 indexed citations
7.
Ding, Changfeng, Jun-Bo Wang, Ming Cheng, Min Lin, & Julian Cheng. (2023). Dynamic Transmission and Computation Resource Optimization for Dense LEO Satellite Assisted Mobile-Edge Computing. IEEE Transactions on Communications. 71(5). 3087–3102. 43 indexed citations
8.
Lin, Min, et al.. (2023). Robust Frame-Based Beamforming Scheme to Enhance Secure Multigroup Multicast Transmission for Multibeam Satellite Systems. IEEE Transactions on Vehicular Technology. 73(3). 4407–4411. 1 indexed citations
9.
Lin, Min, et al.. (2023). Robust Downlink Transmission Design in IRS-Assisted Cognitive Satellite and Terrestrial Networks. IEEE Journal on Selected Areas in Communications. 41(8). 2514–2529. 23 indexed citations
10.
Lin, Min, et al.. (2023). Angular Information Based Robust Downlink Transmission for IRS-Enhanced Cognitive Satellite-Aerial Networks. IEEE Transactions on Vehicular Technology. 73(1). 559–575. 9 indexed citations
11.
Guo, Yan, et al.. (2023). NOMA Assisted Semi-Grant-Free Transmission Scheme in Satellite Systems. IEEE Communications Letters. 27(8). 2122–2126. 8 indexed citations
12.
Tan, Miaomiao, et al.. (2022). Hybrid Multiple Access Transmission in Satellite-Aerial-Terrestrial Networks. IEEE Communications Letters. 26(9). 2146–2150. 4 indexed citations
13.
Cheng, Ming, Jun-Bo Wang, Hua Zhang, et al.. (2022). Impact of Finite-Resolution Precoding and Limited Feedback on Rates of IRS Based mmWave Networks. IEEE Transactions on Vehicular Technology. 71(5). 5172–5186. 5 indexed citations
14.
Lin, Min, et al.. (2022). Robust Beamforming for RIS Enhanced Transmissions in Cognitive Radio Networks. IEEE Transactions on Vehicular Technology. 72(5). 6800–6804. 12 indexed citations
15.
Wang, Zining, et al.. (2021). Robust Beamforming for Enhancing User Fairness in Multibeam Satellite Systems With NOMA. IEEE Transactions on Vehicular Technology. 71(1). 1010–1014. 25 indexed citations
16.
Guo, Kefeng, et al.. (2021). Robust Beamforming and Outage Performance of Uplink Multiuser Satellite-Aerial-Terrestrial Networks With Mixed RF-FSO Channels. IEEE photonics journal. 13(4). 1–8. 14 indexed citations
17.
Lin, Min, et al.. (2021). Outage Constrained Robust Secure Beamforming in Cognitive Satellite-Aerial Networks. IEEE Communications Letters. 25(8). 2708–2712. 16 indexed citations
18.
Yang, Fan, Jun-Bo Wang, Ming Cheng, et al.. (2020). A Partially Dynamic Subarrays Structure for Wideband mmWave MIMO Systems. IEEE Transactions on Communications. 68(12). 7578–7592. 36 indexed citations
19.
Cheng, Ming, Jun-Bo Wang, Julian Cheng, Jin‐Yuan Wang, & Min Lin. (2020). Joint Scheduling and Precoding for mmWave and Sub-6GHz Dual-Mode Networks. IEEE Transactions on Vehicular Technology. 69(11). 13098–13111. 17 indexed citations
20.
Zhang, Pei, et al.. (2013). Analysis of Utility Big Data and Its Application. 245–247.

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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