Ma Xiao

24 papers receiving 403 citations

Peers

Ma Xiao
Comparison fields: 5 of 43
  • Computational Theory and Mathematics 328
  • Management Science and Operations Research 96
  • Information Systems 174
  • Artificial Intelligence 219
  • Computer Vision and Pattern Recognition 60
Replace Xiaoli He with:
Xiaoli He China
Xiaofei Deng Canada
Jian-Min Ma China
Ming-Wen Shao China
LV Yue-jin China
Anna Maria Radzikowska Poland
El-Sayed A. Abo-Tabl Egypt
Mostafa K. El-Bably Egypt
Shaoyong Li China
Ma Xiao relative to Xiaoli He China Xiaoli He's profile →
Citations per field
00.5×1.5×1.9×
Xiaoli He · 1×
Citations per year

Countries citing papers authored by Ma Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Ma Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Ma Xiao, 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 Ma Xiao Line = papers co-authored together Ma Xiao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201586
2 201877
3 201473
4 201841
5 202322
6 202220
7 202018
8 201914
9 202412
10 202011
11 20236
12 20245
13
Revisiting Self-Selection Biases in E-Word-of-Mouth: An Integrated Model and Bayesian Estimation of Multivariate Review Behaviors
20113
14
An Adaptive Measurement-Based Admission Control Algorithm
20013
15 20242
16 20102
17 20202
18
A Fuzzy DEA Model with Decision-Maker's Preference and Its Application
20111
19 20251
20 20251

About Ma Xiao

Ma Xiao is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Information Systems, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 26 papers that have together received 404 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (12 papers), Data Mining Algorithms and Applications (8 papers), Text and Document Classification Technologies (4 papers), Multi-Criteria Decision Making (3 papers), Face and Expression Recognition (3 papers), Image Retrieval and Classification Techniques (3 papers), Fuzzy Logic and Control Systems (2 papers) and Evaluation Methods in Various Fields (2 papers). The work is most often cited by research in Computational Theory and Mathematics (328 citations), Management Science and Operations Research (96 citations), Information Systems (174 citations), Artificial Intelligence (219 citations) and Computer Vision and Pattern Recognition (60 citations). Ma Xiao has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Hong Yu, Guoyin Wang, Yiyu Yao, Tianrui Li, Chunhua Ju, Hao Xu, Yi Liu, Zuopeng Zhang, Sung S. Kim and Bailin Yang. Their work appears in journals such as Information Sciences, International Journal of Approximate Reasoning, Applied Intelligence, Engineering Applications of Artificial Intelligence and European Journal of Operational Research.

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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