Hui Ma

912 citations
64 papers · 680 · h-index 14

Impact in

Papers in

Hui Ma

55 papers receiving 661 citations

Peers

Hui Ma
Comparison fields: 5 of 95
  • Speech and Hearing 460
  • Health, Toxicology and Mutagenesis 239
  • Cognitive Neuroscience 276
  • Environmental Engineering 107
  • Automotive Engineering 69
Replace Lisa Lavia with:
Lisa Lavia United Kingdom
Sophie Goudreau Canada
Franziska Rudzik Switzerland
Norbert Kersten Germany
Christian Maschke Germany
Gunn Marit Aasvang Norway
Anita Gidlöf-Gunnarsson Sweden
Anu W. Turunen Finland
Ronny Klæboe Norway
Hui Ma relative to Lisa Lavia United Kingdom Lisa Lavia's profile →
Citations per field
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Lisa Lavia · 1×
Citations per year

Countries citing papers authored by Hui Ma

Since Specialization
Citations

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

Fields of papers citing papers by Hui Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hui Ma, 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 Hui Ma Line = papers co-authored together Hui Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202061
2 201855
3 201549
4 201741
5 201841
6 201940
7 201630
8 201929
9 202027
10 200423
11 202022
12 202317
13 201817
14 202216
15 200412
16 202011
17 202011
18 202011
19 202310
20 202310

About Hui Ma

Hui Ma is a scholar working on Speech and Hearing, Cognitive Neuroscience, Health, Toxicology and Mutagenesis, Biomedical Engineering and Automotive Engineering, having authored 64 papers that have together received 680 indexed citations. Recurring topics across this work include Noise Effects and Management (44 papers), Hearing Loss and Rehabilitation (30 papers), Urban Green Space and Health (16 papers), Acoustic Wave Phenomena Research (8 papers), Multisensory perception and integration (4 papers), Vehicle Noise and Vibration Control (4 papers), Speech and Audio Processing (3 papers) and Color perception and design (2 papers). The work is most often cited by research in Speech and Hearing (460 citations), Health, Toxicology and Mutagenesis (239 citations), Cognitive Neuroscience (276 citations), Environmental Engineering (107 citations) and Automotive Engineering (69 citations). Hui Ma has collaborated with scholars based in China, United Kingdom and Japan. Frequent co-authors include Jian Kang, Chao Wang, Takashi Yano, Yuanhui Shen, Donghui Zhang, Huawei Yang, Jing Chen, Jing Chen, Mingyu Wang and Shuguang Wang. Their work appears in journals such as Applied Acoustics, Building and Environment, The Journal of the Acoustical Society of America, Buildings and Frontiers in Psychology.

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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