Ning Yu

93 papers receiving 1.2k citations

Ning Yu's Hit Papers

High-Strength and Excellent Self-Healing Polyurethane Elastomer Based on Rigid Chain Segment Reinforcement 2025 · 29 citations
290Years since publication510152025

Peers

Ning Yu
Comparison fields: 5 of 124
  • Sensory Systems 506
  • Endocrine and Autonomic Systems 114
  • Neurology 125
  • Physiology 51
  • Cognitive Neuroscience 198
Replace Thomas Frank with:
Thomas Frank Germany
Yunfeng Wang China
H. P. Zenner Germany
Ann Chi Yan Wong Australia
Richard C. Gerkin United States
Han Kyu Lee South Korea
Rongrong Guo China
Mei Wang China
Achim Schilling Germany
Patrick Krauß Germany
Ning Yu relative to Thomas Frank Germany Thomas Frank's profile →
Citations per field
00.5×3.8×
Thomas Frank · 1×
Citations per year

Countries citing papers authored by Ning Yu

Since Specialization
Citations

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

Fields of papers citing papers by Ning Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005185
2 200698
3 200869
4 201566
5 200650
6 201745
7 200839
8 200935
9 201434
10 200331
11
High-Strength and Excellent Self-Healing Polyurethane Elastomer Based on Rigid Chain Segment Reinforcement
Hit paper breakdown →
202529
12 200828
13
WIDIT in TREC-2006 Blog track
200627
14
WIDIT in TREC-2007 Blog Track: Combining Lexicon-based Methods to Detect Opinionated Blogs
200725
15 200625
16 201722
17 201422
18 202221
19
Filling the Gap: Semi-Supervised Learning for Opinion Detection Across Domains
201121
20 202120

About Ning Yu

Ning Yu is a scholar working on Sensory Systems, Artificial Intelligence, Molecular Biology, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 101 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hearing, Cochlea, Tinnitus, Genetics (27 papers), Hearing Loss and Rehabilitation (12 papers), Advanced Image and Video Retrieval Techniques (11 papers), Image Retrieval and Classification Techniques (11 papers), Topic Modeling (10 papers), Sentiment Analysis and Opinion Mining (10 papers), Neuroscience of respiration and sleep (8 papers) and Vestibular and auditory disorders (8 papers). The work is most often cited by research in Sensory Systems (506 citations), Endocrine and Autonomic Systems (114 citations), Neurology (125 citations), Physiology (51 citations) and Cognitive Neuroscience (198 citations). Ning Yu has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Hong-Bo Zhao, Carrie R. Fleming, Hongbo Zhao, Kiduk Yang, Xinhuan Wang, Qiusen Han, Rong Yang, Sandra Kübler, K.A. Hua and Hui Zhang. Their work appears in journals such as Acta Oto-Laryngologica, Molecular Neurobiology, Proceedings of the American Society for Information Science and Technology, Hearing Research and Multimedia Tools and Applications.

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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