Zejun Ma

808 citations
42 papers · 423 indexed · 1 hit paper · h-index 11
Topics
Speech Recognition and Synthesis (29 papers)Music and Audio Processing (23 papers)Speech and Audio Processing (18 papers)
Journals
Neural NetworksIEEE Signal Processing LettersGhent University Academic Bibliography (Ghent University)

In The Last Decade

Zejun Ma

40 papers receiving 402 citations

Hit Papers

HTS-AT: A Hierarchical Token-Semantic Audio Transformer f...202220262023202420224080120

Peers

Zejun Ma
Comparison fields: 5 of 53
  • Signal Processing 289
  • Artificial Intelligence 273
  • Computer Vision and Pattern Recognition 103
  • Experimental and Cognitive Psychology 18
  • Music 17
Replace Helin Wang with:
Helin Wang China
Xingjian Du China
Hardik B. Sailor India
Keunwoo Choi United Kingdom
Siddharth Sigtia United Kingdom
Jichen Yang China
Seongkyu Mun South Korea
H. Lloyd-Thomas United Kingdom
A. Revathi India
Andy T. Liu Taiwan
Zejun Ma relative to Helin Wang China Helin Wang's profile →
Citations per field
00.5×1.7×
Helin Wang · 1×
Citations per year

Countries citing papers authored by Zejun Ma

Since Specialization
Citations

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

Fields of papers citing papers by Zejun Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zejun Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Zejun Ma. A scholar is included among the top collaborators of Zejun 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 Zejun Ma. Zejun Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 2
3 21
4 1
5 1
6 2
7 1
8 4
9 10
10 3
11 8
12 3
13 0
14 14
15 25
16 2
17 11
18 15
19 2
20 4

About Zejun Ma

Zejun Ma is a scholar working on Signal Processing, Artificial Intelligence and Developmental Biology, having authored 42 papers that have together received 423 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (29 papers), Music and Audio Processing (23 papers) and Speech and Audio Processing (18 papers). The work is most often cited by research in Signal Processing (289 citations), Artificial Intelligence (273 citations) and Music (17 citations). Zejun Ma has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Xingjian Du, Ke Chen, Shlomo Dubnov, Taylor Berg-Kirkpatrick, Bilei Zhu, Yuxuan Wang, Meng Cai, Bo Xu, Shichao Liu and Junjie Pan. Their work appears in journals such as Neural Networks, IEEE Signal Processing Letters and Ghent University Academic Bibliography (Ghent University).

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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