Pingchuan Ma

90 total papers · 1.4k total citations
32 papers, 628 citations indexed

About

Pingchuan Ma is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Pingchuan Ma has authored 32 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 13 papers in Signal Processing and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Pingchuan Ma's work include Speech and Audio Processing (13 papers), Speech Recognition and Synthesis (8 papers) and Music and Audio Processing (8 papers). Pingchuan Ma is often cited by papers focused on Speech and Audio Processing (13 papers), Speech Recognition and Synthesis (8 papers) and Music and Audio Processing (8 papers). Pingchuan Ma collaborates with scholars based in United Kingdom, United States and China. Pingchuan Ma's co-authors include Stavros Petridis, Maja Pantić, Brais Martínez, Björn W. Schuller, Yunsheng Tian, Bo Ren, Jie Shen, Dinesh Manocha, Zherong Pan and Yujiang Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Pingchuan Ma

26 papers receiving 617 citations

Author Peers

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

Author Last Decade Papers Cites
Pingchuan Ma 432 264 176 59 43 32 628
Hyoung‐Gook Kim 405 0.9× 191 0.7× 268 1.5× 39 0.7× 28 0.7× 68 687
Hao Jiang 475 1.1× 195 0.7× 398 2.3× 29 0.5× 20 0.5× 43 746
Yu Gu 177 0.4× 254 1.0× 266 1.5× 43 0.7× 24 0.6× 49 629
Xiaopei Wu 191 0.4× 111 0.4× 130 0.7× 157 2.7× 54 1.3× 28 621
Zekeriya TÜFEKCİ 566 1.3× 250 0.9× 247 1.4× 48 0.8× 21 0.5× 34 698
Yongqiang Wang 428 1.0× 431 1.6× 151 0.9× 28 0.5× 40 0.9× 21 686
Martin Heckmann 328 0.8× 179 0.7× 107 0.6× 46 0.8× 45 1.0× 67 595
Amr El-Desoky Mousa 155 0.4× 411 1.6× 125 0.7× 32 0.5× 11 0.3× 25 584
Zhi Xu 199 0.5× 145 0.5× 268 1.5× 25 0.4× 22 0.5× 35 637
Iván Meza 180 0.4× 380 1.4× 73 0.4× 68 1.2× 31 0.7× 54 636

Countries citing papers authored by Pingchuan Ma

Since Specialization
Citations

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

Fields of papers citing papers by Pingchuan Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pingchuan Ma

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