Xiaojin Ma

492 citations
6 papers · 375 · h-index 4

Impact in

    • IoT and Edge/Fog Computing
    • Distributed and Parallel Computing Systems
    • Age of Information Optimization
    • Caching and Content Delivery
    • Software-Defined Networks and 5G
    • Cloud Computing and Resource Management
    • Blockchain Technology Applications and Security

Papers in

Xiaojin Ma

6 papers receiving 360 citations

Peers

Xiaojin Ma
Comparison fields: 5 of 55
  • Computer Networks and Communications 223
  • Information Systems 188
  • Artificial Intelligence 107
  • Transportation 14
  • Computer Vision and Pattern Recognition 37
Replace R. Baskaran with:
R. Baskaran India
Runyuan Sun China
Xue Ouyang China
Jiagang Liu China
Taeweon Suh South Korea
Ching‐Hsien Hsu Taiwan
Hadi Tabatabaee Malazi Iran
Masato Oguchi Japan
Demetris Trihinas Cyprus
Xiaojin Ma relative to R. Baskaran India R. Baskaran's profile →
Citations per field
00.5×10.1×
R. Baskaran · 1×
Citations per year

Countries citing papers authored by Xiaojin Ma

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojin Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 4 scholars most cited alongside Xiaojin Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaojin Ma Line = papers co-authored together Xiaojin Ma links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown

About Xiaojin Ma

Xiaojin Ma is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Media Technology and Infectious Diseases, having authored 6 papers that have together received 375 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (4 papers), IoT and Edge/Fog Computing (4 papers), Distributed and Parallel Computing Systems (2 papers), Advanced Image and Video Retrieval Techniques (1 paper), Advanced Image Fusion Techniques (1 paper), Caching and Content Delivery (1 paper), Advanced Image Processing Techniques (1 paper) and Medical Image Segmentation Techniques (1 paper). The work is most often cited by research in Computer Networks and Communications (223 citations), Information Systems (188 citations), Artificial Intelligence (107 citations), Transportation (14 citations) and Computer Vision and Pattern Recognition (37 citations). Xiaojin Ma has collaborated with scholars based in China, Australia and South Korea. Frequent co-authors include Huahu Xu, Honghao Gao, Minjie Bian and Walayat Hussain. Their work appears in journals such as EURASIP Journal on Wireless Communications and Networking, IEEE Transactions on Green Communications and Networking, IEEE Transactions on Industrial Informatics, IEEE Transactions on Network and Service Management and Journal of Imaging.

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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