Xiaofeng Ma

1.7k total citations · 2 hit papers
20 papers, 1.1k citations indexed

About

Xiaofeng Ma is a scholar working on Information Systems, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xiaofeng Ma has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Information Systems, 7 papers in Computer Networks and Communications and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xiaofeng Ma's work include Blockchain Technology Applications and Security (9 papers), Advanced Image Fusion Techniques (4 papers) and IoT and Edge/Fog Computing (4 papers). Xiaofeng Ma is often cited by papers focused on Blockchain Technology Applications and Security (9 papers), Advanced Image Fusion Techniques (4 papers) and IoT and Edge/Fog Computing (4 papers). Xiaofeng Ma collaborates with scholars based in China and United Kingdom. Xiaofeng Ma's co-authors include Qijun Chen, Zhe Zhang, Xiangwei Wang, Jie Xiao, Qunming Wang, Xiaohua Tong, Xin Huang, Duo Wang, Yixin Huang and Jingjing Xu and has published in prestigious journals such as Remote Sensing of Environment, IEEE Access and ISPRS Journal of Photogrammetry and Remote Sensing.

In The Last Decade

Xiaofeng Ma

20 papers receiving 1.0k 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 review on consensus algorithm of blockchain

2017 474 citations Xiaofeng Ma, Zhe Zhang et al. profile →
Supply Chain Finance Innovation Using Blockchain

2020 264 citations Qijun Chen, Jie Xiao et al. IEEE Transactions on Engineering Management profile →

Peers

Xiaofeng Ma

IS

CNC

AI

MIS

SM

G. R. Gangadharan India

Guy Zyskind United States

María Teresa Baldassarre Italy

Xiaochun Ni China

Neal Leavitt

Vijay K. Vaishnavi United States

Carlos Juiz Spain

Atefeh Mashatan Canada

Hakan Erdogmus United States

Zarina Shukur Malaysia

G. R. Gangadharan India

Xiaofeng Ma

799 ×1.0

IS

631 ×1.7

CNC

345 ×1.5

AI

194 ×0.9

MIS

97 ×0.9

SM

Citations per year, relative to Xiaofeng Ma Xiaofeng Ma (= 1×) peers G. R. Gangadharan

Countries citing papers authored by Xiaofeng Ma

Since Specialization

Citations

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

Fields of papers citing papers by Xiaofeng Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaofeng Ma

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Ma, Xiaofeng, Qunming Wang, & Xiaohua Tong. (2025). Nighttime light remote sensing image haze removal based on a deep learning model. Remote Sensing of Environment. 318. 114575–114575. 2 indexed citations

2.

Ma, Xiaofeng, et al.. (2024). Blockchain-Based Unbalanced PSI with Public Verification and Financial Security. Mathematics. 12(10). 1544–1544. 3 indexed citations

3.

Yang, Jianyu, et al.. (2024). A Novel Head-Following Algorithm for Multi-Joint Articulated Driven Continuum Robots. Journal of Mechanisms and Robotics. 17(2). 1 indexed citations

4.

Ma, Xiaofeng, Qunming Wang, & Xiaohua Tong. (2023). Incorporating inconsistent auxiliary images in haze removal of very high resolution images. International Journal of Applied Earth Observation and Geoinformation. 119. 103317–103317. 3 indexed citations

5.

Ma, Xiaofeng, Qunming Wang, & Xiaohua Tong. (2022). A spectral grouping-based deep learning model for haze removal of hyperspectral images. ISPRS Journal of Photogrammetry and Remote Sensing. 188. 177–189. 30 indexed citations

6.

Ma, Xiaofeng, Qunming Wang, Xiaohua Tong, & Peter M. Atkinson. (2022). A deep learning model for incorporating temporal information in haze removal. Remote Sensing of Environment. 274. 113012–113012. 24 indexed citations

7.

Wang, Duo, Xin Huang, & Xiaofeng Ma. (2020). Formal Analysis of Smart Contract Based on Colored Petri Nets. IEEE Intelligent Systems. 35(3). 19–30. 26 indexed citations

8.

Ma, Xiaofeng, et al.. (2020). Blockchain-Based Fair and Secure Electronic Double Auction Protocol. IEEE Intelligent Systems. 35(3). 31–40. 15 indexed citations

9.

Chen, Qijun, et al.. (2020). MBFT: A New Consensus Algorithm for Consortium Blockchain. IEEE Access. 8. 87665–87675. 37 indexed citations

10.

Chen, Qijun, et al.. (2020). Supply Chain Finance Innovation Using Blockchain. IEEE Transactions on Engineering Management. 67(4). 1045–1058. 264 indexed citations breakdown →

11.

Chen, Qijun, et al.. (2020). An Optimized Consortium Blockchain for Medical Information Sharing. IEEE Transactions on Engineering Management. 68(6). 1677–1689. 86 indexed citations

12.

Ma, Xiaofeng, et al.. (2019). A Trial of Student Self-Sponsored Peer-to-Peer Lending Based on Credit Evaluation Using Big Data Analysis. Computational Intelligence and Neuroscience. 2019. 1–11. 3 indexed citations

13.

Chen, Qijun, et al.. (2019). A Blockchain-based Random Number Generation Algorithm and the Application in Blockchain Games. 3498–3503. 17 indexed citations

14.

Ma, Xiaofeng, et al.. (2018). A Blockchain Application for Medical Information Sharing. 1–7. 22 indexed citations

15.

Ma, Xiaofeng, et al.. (2018). Student pass rates prediction using optimized support vector machine and decision tree. 25 indexed citations

16.

Huang, Xin, et al.. (2018). A Handshake Protocol With Unbalanced Cost for Wireless Updating. IEEE Access. 6. 18570–18581. 8 indexed citations

17.

Ma, Xiaofeng, et al.. (2018). Using Machine Learning Algorithm to Predict Student Pass Rates In Online Education. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 156–161. 22 indexed citations

18.

Ma, Xiaofeng, et al.. (2017). A review on consensus algorithm of blockchain. 2567–2572. 474 indexed citations breakdown →

19.

Xu, Jingjing, et al.. (2016). A big data application to predict depression in the university based on the reading habits. 1085–1089. 29 indexed citations

20.

Pan, Deng, et al.. (2012). A New RBC Handover Model for High-Speed Train. 19. 108–111. 1 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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