Xiaoxuan Ma

27 total papers · 559 total citations
12 papers, 292 citations indexed

About

Xiaoxuan Ma is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Xiaoxuan Ma has authored 12 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Human-Computer Interaction. Recurrent topics in Xiaoxuan Ma's work include Human Pose and Action Recognition (6 papers), Hand Gesture Recognition Systems (3 papers) and Time Series Analysis and Forecasting (2 papers). Xiaoxuan Ma is often cited by papers focused on Human Pose and Action Recognition (6 papers), Hand Gesture Recognition Systems (3 papers) and Time Series Analysis and Forecasting (2 papers). Xiaoxuan Ma collaborates with scholars based in China, United States and Japan. Xiaoxuan Ma's co-authors include Yizhou Wang, Hai Ci, Chunyu Wang, Jiajun Su, Qi Tian, Feng Gao, Kang Zhang, Maozu Guo, Weifeng Liu and Jing Chen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and BioMed Research International.

In The Last Decade

Xiaoxuan Ma

9 papers receiving 284 citations

Author Peers

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

Author						Papers	Cites
Xiaoxuan Ma	262	84	78	72	43	12	292
Hai Ci	276 1.1×	99 1.2×	71 0.9×	75 1.0×	50 1.2×	12	299
Bogdan Boteanu	253 1.0×	41 0.5×	43 0.6×	58 0.8×	23 0.5×	14	322
Spyridon Leonardos	242 0.9×	39 0.5×	33 0.4×	43 0.6×	31 0.7×	11	285
Jiaxiang Tang	235 0.9×	84 1.0×	79 1.0×	34 0.5×	22 0.5×	12	269
Runyang Feng	210 0.8×	53 0.6×	75 1.0×	44 0.6×	14 0.3×	12	252
Jathushan Rajasegaran	206 0.8×	52 0.6×	138 1.8×	19 0.3×	30 0.7×	12	309
Miguel Reyes	211 0.8×	55 0.7×	31 0.4×	107 1.5×	25 0.6×	9	257
Sina Honari	134 0.5×	25 0.3×	45 0.6×	21 0.3×	8 0.2×	15	161
Hanul Kim	198 0.8×	79 0.9×	44 0.6×	63 0.9×	9 0.2×	11	238
Guoqiang Wei	191 0.7×	50 0.6×	100 1.3×	17 0.2×	8 0.2×	9	251

Countries citing papers authored by Xiaoxuan Ma

Since Specialization

Citations

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

Fields of papers citing papers by Xiaoxuan Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoxuan Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoxuan Ma. A scholar is included among the top collaborators of Xiaoxuan 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 Xiaoxuan Ma. Xiaoxuan 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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