Xiaofeng Ma

30 total papers · 1.7k total citations
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), Image Enhancement 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), Image Enhancement 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, Yan Yang and Yixin Huang 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

A review on consensus alg... 2017 2026 2020 2023 2017 2020 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Xiaofeng Ma 805 363 235 224 110 20 1.1k
Miguel Pincheira 1.0k 1.3× 586 1.6× 208 0.9× 128 0.6× 106 1.0× 23 1.4k
Liwei Ouyang 1.0k 1.3× 402 1.1× 276 1.2× 217 1.0× 98 0.9× 12 1.4k
Mariki M. Eloff 932 1.2× 340 0.9× 218 0.9× 148 0.7× 51 0.5× 65 1.2k
Muhammad Salek Ali 1.1k 1.3× 622 1.7× 184 0.8× 124 0.6× 104 0.9× 7 1.3k
Vladimir Stantchev 537 0.7× 315 0.9× 136 0.6× 213 1.0× 73 0.7× 58 986
Enrique Soler 1.0k 1.3× 646 1.8× 186 0.8× 133 0.6× 73 0.7× 18 1.2k
Andrea Pinna 1.1k 1.3× 295 0.8× 165 0.7× 313 1.4× 125 1.1× 49 1.3k
Deokyoon Ko 1.2k 1.5× 382 1.1× 176 0.7× 350 1.6× 174 1.6× 8 1.4k
Roberto Casado‐Vara 497 0.6× 371 1.0× 155 0.7× 118 0.5× 107 1.0× 36 964
Valentina Gatteschi 576 0.7× 174 0.5× 151 0.6× 149 0.7× 71 0.6× 39 1.0k

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

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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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