Ning Xiang

2.4k citations
181 papers · 1.8k indexed · h-index 25

Impact in

Papers in

Ning Xiang

162 papers receiving 1.7k citations

Peers

Ning Xiang
Comparison fields: 5 of 132
  • Signal Processing 463
  • Speech and Hearing 286
  • Cognitive Neuroscience 418
  • Ocean Engineering 281
  • Biomedical Engineering 799
Replace Earl G. Williams with:
Earl G. Williams United States
Finn Jacobsen Denmark
Anne-Christine Hladky France
Heinrich Kuttruff Germany
J. Stuart Bolton United States
Efrén Fernández-Grande Denmark
Michael R. Stinson Canada
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F.J. Fahy United Kingdom
Vincent Tournat France
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Citations per field
00.5×2.6×
Earl G. Williams · 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-authorship network

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
#Work
1 20241
2 202315
3 20231
4 20234
5 202314
6 20230
7 20231
8 202214
9 20189
10 20177
11 20141
12 201329
13
Adaptive noise removal of knee joint vibration signals using a signal power error minimization method
20125
14
Audio Signal Decorrelation Based on Reciprocal-Maximal Length Sequence Filters and Its Applications to Spatial Sound
20120
15 20120
16
Investigations of Room Acoustics with a Spherical Microphone Array
20111
17 200516
18 20051
19 200190
20
Computer-Aided Tenth-Scale Modeling for Binaural Auralization in Room Acoustic Design
19911

About Ning Xiang

Ning Xiang is a scholar working on Signal Processing, Speech and Hearing, Cognitive Neuroscience, Geophysics and Ocean Engineering, having authored 181 papers that have together received 1.8k indexed citations. Recurring topics across this work include Acoustic Wave Phenomena Research (70 papers), Hearing Loss and Rehabilitation (51 papers), Speech and Audio Processing (50 papers), Geophysical Methods and Applications (31 papers), Noise Effects and Management (27 papers), Seismic Waves and Analysis (26 papers), Underwater Acoustics Research (18 papers) and Structural Health Monitoring Techniques (16 papers). The work is most often cited by research in Signal Processing (463 citations), Speech and Hearing (286 citations), Cognitive Neuroscience (418 citations), Ocean Engineering (281 citations) and Biomedical Engineering (799 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 Blauert, Philip Robinson, Manfred R. Schroeder, Yunfeng Wu, José Escolano, Suxian Cai and Mendel Kleiner. Their work appears in journals such as The Journal of the Acoustical Society of America, Journal of the Audio Engineering Society, Applied Acoustics, Frontiers in Cardiovascular Medicine and Frontiers in Energy Research.

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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