Xiaolong Ma

77 total papers · 1.5k total citations
32 papers, 688 citations indexed

About

Xiaolong Ma is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Xiaolong Ma has authored 32 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Xiaolong Ma's work include Advanced Neural Network Applications (23 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Advanced Memory and Neural Computing (7 papers). Xiaolong Ma is often cited by papers focused on Advanced Neural Network Applications (23 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Advanced Memory and Neural Computing (7 papers). Xiaolong Ma collaborates with scholars based in United States, Mexico and China. Xiaolong Ma's co-authors include Yanzhi Wang, Jian Tang, Xue Lin, Ning Liu, Kaisheng Ma, Zhiyuan Xu, Jieping Ye, Cecilia Metra, Jing Huang and Fabrizio Lombardi and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Communications of the ACM and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Xiaolong Ma

31 papers receiving 674 citations

Author Peers

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

Author						Papers	Cites
Xiaolong Ma	405	320	223	72	52	32	688
A.C. Davies	287 0.7×	222 0.7×	176 0.8×	62 0.9×	61 1.2×	46	643
Dmitri A. Rachkovskij	141 0.3×	348 1.1×	346 1.6×	40 0.6×	45 0.9×	44	729
Steven R. Young	161 0.4×	397 1.2×	202 0.9×	45 0.6×	53 1.0×	36	735
G. Orlandi	206 0.5×	326 1.0×	150 0.7×	64 0.9×	90 1.7×	64	733
Guanglie Zhang	247 0.6×	95 0.3×	158 0.7×	80 1.1×	41 0.8×	66	685
Chi-Jen Lu	448 1.1×	289 0.9×	70 0.3×	151 2.1×	69 1.3×	39	791
Juhyoung Lee	377 0.9×	184 0.6×	433 1.9×	17 0.2×	64 1.2×	44	726
Yongqiang Li	252 0.6×	341 1.1×	130 0.6×	35 0.5×	36 0.7×	66	597
M. B. Srinivas	123 0.3×	167 0.5×	317 1.4×	123 1.7×	85 1.6×	87	677
Tinghuan Chen	208 0.5×	177 0.6×	197 0.9×	49 0.7×	42 0.8×	48	625

Countries citing papers authored by Xiaolong Ma

Since Specialization

Citations

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

Fields of papers citing papers by Xiaolong Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaolong Ma

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