Mingxi Liu

814 total citations · 1 hit paper
14 papers, 580 citations indexed

About

Mingxi Liu is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Mingxi Liu has authored 14 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Information Systems, 6 papers in Computer Networks and Communications and 5 papers in Artificial Intelligence. Recurrent topics in Mingxi Liu's work include Blockchain Technology Applications and Security (10 papers), IoT and Edge/Fog Computing (6 papers) and Cloud Data Security Solutions (6 papers). Mingxi Liu is often cited by papers focused on Blockchain Technology Applications and Security (10 papers), IoT and Edge/Fog Computing (6 papers) and Cloud Data Security Solutions (6 papers). Mingxi Liu collaborates with scholars based in China, Bangladesh and India. Mingxi Liu's co-authors include Xiaolei Sun, Xiaoqian Zhu, Wenbo Shi, Yinhong Yao, Guowen Li, Jianping Li, Zijian Bao, Athanasios V. Vasilakos, Ximeng Liu and Kim‐Kwang Raymond Choo and has published in prestigious journals such as IEEE Internet of Things Journal, Future Generation Computer Systems and Finance research letters.

In The Last Decade

Mingxi Liu

13 papers receiving 560 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A novel cryptocurrency price trend forecasting model based on LightGBM

2018 376 citations Xiaolei Sun, Mingxi Liu et al. Finance research letters profile →

Peers

Mingxi Liu

IS

MSOR

EE

AI

EEE

C. K. Jha India

S. Shahab Vietnam

Lele Qin China

Manas Kumar Sanyal India

Wenrui Li China

C. Narendra Babu India

Mukta Paliwal India

Subanar Subanar Indonesia

Saman Haratizadeh Iran

C. K. Jha India

Mingxi Liu

104 ×0.4

IS

200 ×1.1

MSOR

50 ×0.3

EE

166 ×1.7

AI

130 ×2.0

EEE

Citations per year, relative to Mingxi Liu Mingxi Liu (= 1×) peers C. K. Jha

Countries citing papers authored by Mingxi Liu

Since Specialization

Citations

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

Fields of papers citing papers by Mingxi Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingxi Liu

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

All Works

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14 of 14 papers shown

1.

Liu, Mingxi, Ning Lu, Wenbo Shi, et al.. (2025). E-MAEL: Efficient Multi-Cloud Data Auditing With Error Localization for IoT Consumer Devices in Metaverse. IEEE Transactions on Consumer Electronics. 71(2). 5740–5751.

2.

Li, Siqi, et al.. (2024). BCDA: A blockchain-based dynamic auditing scheme for intelligent IoT. Computers & Electrical Engineering. 119. 109460–109460. 2 indexed citations

3.

Huo, Xiang, Hao Huang, Katherine Davis, H. Vincent Poor, & Mingxi Liu. (2024). A review of scalable and privacy-preserving multi-agent frameworks for distributed energy resources. Advances in Applied Energy. 17. 100205–100205. 3 indexed citations

4.

Gong, Peng, et al.. (2024). ESMU: Efficient and Secure High-Precision Map Upload and Update Scheme in Intelligent IoT System. IEEE Internet of Things Journal. 11(15). 25577–25589. 1 indexed citations

5.

Lu, Ning, Mingxi Liu, Wenbo Shi, Ximeng Liu, & Kim‐Kwang Raymond Choo. (2023). SG-Audit: An Efficient and Robust Cloud Auditing Scheme for Smart Grid. IEEE Transactions on Dependable and Secure Computing. 21(4). 4162–4179. 3 indexed citations

6.

Liu, Mingxi, et al.. (2023). SEA: Secure and Efficient Public Auditing for Edge-Assisted IoT Aggregated Data Sharing. Mobile Networks and Applications. 29(5). 1477–1488. 3 indexed citations

7.

Liu, Mingxi, et al.. (2023). BUA: a blockchain-based unlinkable authentication scheme for mobile IoT. Enterprise Information Systems. 18(2). 7 indexed citations

8.

Li, Wencheng, et al.. (2022). Risk scenario-based value estimation of Bitcoin. Procedia Computer Science. 199. 1198–1204. 2 indexed citations

9.

Liu, Mingxi, Guowen Li, Jianping Li, Xiaoqian Zhu, & Yinhong Yao. (2020). Forecasting the price of Bitcoin using deep learning. Finance research letters. 40. 101755–101755. 97 indexed citations

10.

Liu, Mingxi, et al.. (2019). Hash‐balanced binary tree–based public auditing in vehicular edge computing and networks. International Journal of Communication Systems. 35(12). 5 indexed citations

11.

Bao, Zijian, et al.. (2019). Dredas: Decentralized, reliable and efficient remote outsourced data auditing scheme with blockchain smart contract for industrial IoT. Future Generation Computer Systems. 110. 665–674. 74 indexed citations

12.

Liu, Mingxi, et al.. (2019). Improving efficiency of remote data audit for cloud storage. KSII Transactions on Internet and Information Systems. 13(4). 1 indexed citations

13.

Sun, Xiaolei, et al.. (2018). A novel cryptocurrency price trend forecasting model based on LightGBM. Finance research letters. 32. 101084–101084. 376 indexed citations breakdown →

14.

Liu, Mingxi, et al.. (2018). Enhancing cloud storage security against a new replay attack with an efficient public auditing scheme. The Journal of Supercomputing. 76(7). 4857–4883. 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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