Ning Ye

6.7k citations
239 papers · 3.7k indexed · h-index 33

Ning Ye

220 papers receiving 3.6k citations

Peers

Ning Ye
Comparison fields: 5 of 193
  • Computer Vision and Pattern Recognition 866
  • Horticulture 24
  • Artificial Intelligence 718
  • Media Technology 171
  • Molecular Biology 1.2k
Replace Dick de Ridder with:
Dick de Ridder Netherlands
Xin Geng China
Qing Liao China
Neeraj Sharma India
Jin‐Xing Liu China
Haiying Wang China
Yurong Li China
Alberto Ferrer Spain
Giancarlo Mauri Italy
Ning Ye relative to Dick de Ridder Netherlands Dick de Ridder's profile →
Citations per field
00.5×1.5×1.8×
Dick de Ridder · 1×
Citations per year

Countries citing papers authored by Ning Ye

Since Specialization
Citations

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

Fields of papers citing papers by Ning Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20230
4 202211
5 201832
6 201625
7 201631
8
Optimization of image description metrics using policy gradient methods
201631
9 201686
10 201590
11 201425
12 201257
13 20122
14
Investigation of Enhancement and Releasement Effect ofFishery Stock in Gaoqiao Mangrove
20101
15
Fuzzy Logic Based Middleware Approach for Context Processing.
20094
16 20091
17
Wood Defect Recognition in Log CT Images by Artificial Neural Network
20053
18
Web User Action Clustering Algorithm
20043
19
A Visual OA Workflow Design Tool
20031
20
Expression of Mouse Metallothionein-I Gene in Synechococcus sp. PCC 7002 by Homologous Recombination
20020

About Ning Ye

Ning Ye is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Signal Processing, Artificial Intelligence and Human-Computer Interaction, having authored 239 papers that have together received 3.7k indexed citations. Recurring topics across this work include Face and Expression Recognition (39 papers), Genomics and Phylogenetic Studies (15 papers), EEG and Brain-Computer Interfaces (13 papers), Advanced Algorithms and Applications (13 papers), Advanced Image and Video Retrieval Techniques (12 papers), Anomaly Detection Techniques and Applications (11 papers), Blind Source Separation Techniques (10 papers) and Opportunistic and Delay-Tolerant Networks (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (866 citations), Horticulture (24 citations), Artificial Intelligence (718 citations), Media Technology (171 citations) and Molecular Biology (1.2k citations). Ning Ye has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Qiaolin Ye, Tongming Yin, Fa Zhu, Ruchuan Wang, Jian Yang, Changwei Bi, Chunxia Zhao, Yiqing Xu, Reza Malekian and Junbin Gao. Their work appears in journals such as Neurocomputing, Semiotica, BioMed Research International, PeerJ and Electronics.

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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