Ning Xiang

138 papers receiving 1.8k citations

Peers

Ning Xiang
Comparison fields: 5 of 134
  • Speech and Hearing 303
  • Signal Processing 478
  • Cognitive Neuroscience 437
  • Biomedical Engineering 823
  • Ocean Engineering 276
Replace Finn Jacobsen with:
Finn Jacobsen Denmark
R. Martínez‐Sala Spain
Heinrich Kuttruff Germany
Anne-Christine Hladky France
Michael R. Stinson Canada
Efrén Fernández-Grande Denmark
J. Stuart Bolton United States
Yun Jing United States
Jim Woodhouse United Kingdom
Tianning Chen China
Ning Xiang relative to Finn Jacobsen Denmark Finn Jacobsen's profile →
Citations per field
00.5×2×3×4×4.8×
Finn Jacobsen · 1×
Citations per year

Countries citing papers authored by Ning Xiang

Since Specialization
Citations

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

Fields of papers citing papers by Ning Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 144 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200192
2 200373
3 200053
4 200149
5 201147
6 199545
7 200944
8 200843
9 201742
10 200340
11 201338
12 199935
13 200334
14 202033
15 201233
16 200732
17 201831
18 199230
19 201329
20 201228

About Ning Xiang

Ning Xiang is a scholar working on Signal Processing, Biomedical Engineering, Cognitive Neuroscience, Geophysics and Speech and Hearing, having authored 144 papers that have together received 1.9k indexed citations. Recurring topics across this work include Acoustic Wave Phenomena Research (52 papers), Speech and Audio Processing (35 papers), Hearing Loss and Rehabilitation (30 papers), Geophysical Methods and Applications (21 papers), Seismic Waves and Analysis (19 papers), Underwater Acoustics Research (15 papers), Music Technology and Sound Studies (14 papers) and Noise Effects and Management (14 papers). The work is most often cited by research in Speech and Hearing (303 citations), Signal Processing (478 citations), Cognitive Neuroscience (437 citations), Biomedical Engineering (823 citations) and Ocean Engineering (276 citations). Ning Xiang has collaborated with scholars based in United States, China and Germany. Frequent co-authors include James M. Sabatier, Yun Jing, Paul M. Goggans, Jens P. Blauert, Philip W. Robinson, Manfred R. Schroeder, Yunfeng Wu, Suxian Cai, José Escolano and R. Daniel Costley. Their work appears in journals such as The Journal of the Acoustical Society of America, Journal of the Audio Engineering Society, Frontiers in Cardiovascular Medicine, Applied Acoustics and Journal of Non-Crystalline Solids.

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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