Songde Ma

68 total papers · 693 total citations
39 papers, 483 citations indexed

About

Songde Ma is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Songde Ma has authored 39 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 8 papers in Aerospace Engineering. Recurrent topics in Songde Ma's work include Advanced Image and Video Retrieval Techniques (8 papers), Face and Expression Recognition (6 papers) and Image and Object Detection Techniques (6 papers). Songde Ma is often cited by papers focused on Advanced Image and Video Retrieval Techniques (8 papers), Face and Expression Recognition (6 papers) and Image and Object Detection Techniques (6 papers). Songde Ma collaborates with scholars based in China, United States and Hong Kong. Songde Ma's co-authors include De-Shuang Huang, Hanqing Lu, Jing Liu, Mingjing Li, Qingshan Liu, Zhaohui Zhang, Hanqing Lu, Jinqiao Wang, Wei Fu and V. Prinet and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

Songde Ma

39 papers receiving 461 citations

Author Peers

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

Author						Papers	Cites
Songde Ma	352	133	64	49	27	39	483
Jie Xu	231 0.7×	79 0.6×	105 1.6×	29 0.6×	39 1.4×	53	430
Zhibin Wang	262 0.7×	143 1.1×	40 0.6×	35 0.7×	25 0.9×	40	429
Lakshman Prasad	201 0.6×	94 0.7×	49 0.8×	22 0.4×	29 1.1×	46	454
Jing Yang	245 0.7×	93 0.7×	80 1.3×	100 2.0×	19 0.7×	22	501
Jun Miao	377 1.1×	73 0.5×	53 0.8×	26 0.5×	17 0.6×	28	496
Libin Jiao	146 0.4×	93 0.7×	82 1.3×	44 0.9×	17 0.6×	47	433
Xinyi Wu	359 1.0×	93 0.7×	57 0.9×	22 0.4×	20 0.7×	26	469
Ting Liu	350 1.0×	123 0.9×	46 0.7×	29 0.6×	12 0.4×	35	522
Songfeng Zheng	152 0.4×	133 1.0×	40 0.6×	31 0.6×	17 0.6×	33	484
Mohammad Reza Ahmadzadeh	190 0.5×	127 1.0×	61 1.0×	13 0.3×	14 0.5×	38	489

Countries citing papers authored by Songde Ma

Since Specialization

Citations

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

Fields of papers citing papers by Songde Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songde Ma

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