Ning Yu

87 papers receiving 1.1k citations

Ning Yu's Hit Papers

High-Strength and Excellent Self-Healing Polyurethane Elastomer Based on Rigid Chain Segment Reinforcement 2025 · 24 citations
240Years since publication5101520

Peers

Ning Yu
Comparison fields: 5 of 127
  • Sensory Systems 489
  • Endocrine and Autonomic Systems 115
  • Neurology 134
  • Physiology 52
  • Cognitive Neuroscience 215
Replace Yunfeng Wang with:
Yunfeng Wang China
Sangyong Jung South Korea
Achim Schilling Germany
Patrick Krauß Germany
Mark J. Wagner United States
Shao‐Ming Lu United States
Yun Feng Zhang China
Richard C. Gerkin United States
Hitoshi Sakano Japan
Ning Yu relative to Yunfeng Wang China Yunfeng Wang's profile →
Citations per field
00.5×4.3×
Yunfeng Wang · 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 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005176
2 200694
3 200864
4 201562
5 200645
6 201740
7 200837
8 200933
9 201433
10 200331
11 200827
12
WIDIT in TREC-2006 Blog track
200624
13
High-Strength and Excellent Self-Healing Polyurethane Elastomer Based on Rigid Chain Segment Reinforcement
Hit paper breakdown →
202524
14
WIDIT in TREC-2007 Blog Track: Combining Lexicon-based Methods to Detect Opinionated Blogs
200722
15 200622
16 201420
17
Filling the Gap: Semi-Supervised Learning for Opinion Detection Across Domains
201119
18 201719
19 202119
20 202219

About Ning Yu

Ning Yu is a scholar working on Sensory Systems, Cognitive Neuroscience, Artificial Intelligence, Molecular Biology and Neurology, having authored 96 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hearing, Cochlea, Tinnitus, Genetics (31 papers), Hearing Loss and Rehabilitation (18 papers), Vestibular and auditory disorders (11 papers), Topic Modeling (10 papers), Sentiment Analysis and Opinion Mining (10 papers), Image Retrieval and Classification Techniques (9 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Neuroscience of respiration and sleep (8 papers). The work is most often cited by research in Sensory Systems (489 citations), Endocrine and Autonomic Systems (115 citations), Neurology (134 citations), Physiology (52 citations) and Cognitive Neuroscience (215 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, Rong Yang, Xinhuan Wang, Qiusen Han, Sandra Kübler, K.A. Hua, Kiduk Yang and Hui Zhang. Their work appears in journals such as Acta Oto-Laryngologica, Experimental Biology and Medicine, Hearing Research, Proceedings of the National Academy of Sciences and Proceedings of the American Society for Information Science and Technology.

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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