Man‐Wai Mak

4.1k citations
201 papers · 2.6k · h-index 26

Impact in

Papers in

    • Speech Recognition and Synthesis 121
    • Neural Networks and Applications 16
    • Natural Language Processing Techniques 14
    • Speech and Audio Processing 124
    • Music and Audio Processing 94

Man‐Wai Mak

187 papers receiving 2.5k citations

Peers

Man‐Wai Mak
Comparison fields: 5 of 137
  • Signal Processing 1.0k
  • Artificial Intelligence 1.3k
  • Computer Vision and Pattern Recognition 285
  • Cognitive Neuroscience 228
  • Molecular Biology 746
Replace S. Ramakrishnan with:
S. Ramakrishnan United States
Dat Tran Australia
Mineichi Kudo Japan
Amitava Datta Australia
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Seungjin Choi South Korea
Donatello Conte France
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Citations per field
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Citations per year

Countries citing papers authored by Man‐Wai Mak

Since Specialization
Citations

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

Fields of papers citing papers by Man‐Wai Mak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Man‐Wai Mak. 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 Man‐Wai Mak. The network helps show where Man‐Wai Mak may publish in the future.

Co-authors

The 25 scholars most cited alongside Man‐Wai Mak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Man‐Wai Mak Line = papers co-authored together Man‐Wai Mak links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 201 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018193
2 2013108
3 2012108
4
Biometric Authentication: A Machine Learning Approach
200486
5 201382
6 202080
7 200859
8 200057
9 201455
10 201447
11 201843
12 201343
13 201638
14 201636
15 199935
16 201534
17 201432
18 199932
19 200031
20 201031

About Man‐Wai Mak

Man‐Wai Mak is a scholar working on Artificial Intelligence, Signal Processing, Molecular Biology, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 201 papers that have together received 2.6k indexed citations. Recurring topics across this work include Speech and Audio Processing (124 papers), Speech Recognition and Synthesis (121 papers), Music and Audio Processing (94 papers), Machine Learning in Bioinformatics (33 papers), Genomics and Phylogenetic Studies (19 papers), RNA and protein synthesis mechanisms (19 papers), Neural Networks and Applications (16 papers) and Natural Language Processing Techniques (14 papers). The work is most often cited by research in Signal Processing (1.0k citations), Artificial Intelligence (1.3k citations), Computer Vision and Pattern Recognition (285 citations), Cognitive Neuroscience (228 citations) and Molecular Biology (746 citations). Man‐Wai Mak has collaborated with scholars based in Hong Kong, United States and Taiwan. Frequent co-authors include Sun‐Yuan Kung, Shibiao Wan, Jen‐Tzung Chien, Chi-Chung Cheung, Weiwei Lin, Wei Rao, Shang‐Hung Lin, Na Li, Jian Guo and Longxin Li. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Neurocomputing, Computer Speech & Language, Speech Communication and Journal of Theoretical Biology.

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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