Ning Dai

22 total papers · 1.7k total citations
13 papers, 938 citations indexed

About

Ning Dai is a scholar working on Industrial and Manufacturing Engineering, Polymers and Plastics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ning Dai has authored 13 papers receiving a total of 938 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Industrial and Manufacturing Engineering, 6 papers in Polymers and Plastics and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ning Dai's work include Industrial Vision Systems and Defect Detection (10 papers), Textile materials and evaluations (6 papers) and Vehicle License Plate Recognition (2 papers). Ning Dai is often cited by papers focused on Industrial Vision Systems and Defect Detection (10 papers), Textile materials and evaluations (6 papers) and Vehicle License Plate Recognition (2 papers). Ning Dai collaborates with scholars based in China. Ning Dai's co-authors include Yunfan Shao, Xipeng Qiu, Tianxiang Sun, Yige Xu, Xuanjing Huang, Bo Cao, Lei Shi, Xudong Hu, Xudong Hu and Xiaohan Hu and has published in prestigious journals such as Scientific Reports, Sensors and Applied Sciences.

In The Last Decade

Ning Dai

10 papers receiving 904 citations

Hit Papers

Pre-trained models for na... 2020 2026 2022 2024 2020 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Pre-trained models for natural language processing: A survey
    2020 908 citations Xipeng Qiu, Tianxiang Sun et al. Science China Technological Sciences profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ning Dai 685 162 149 66 54 13 938
Yige Xu 790 1.2× 173 1.1× 178 1.2× 79 1.2× 79 1.5× 12 1.2k
Cunxiang Wang 605 0.9× 159 1.0× 102 0.7× 46 0.7× 43 0.8× 15 1.1k
Yunfan Shao 936 1.4× 197 1.2× 244 1.6× 77 1.2× 73 1.4× 9 1.2k
Yidong Wang 594 0.9× 161 1.0× 105 0.7× 71 1.1× 47 0.9× 26 1.2k
Yuan Wu 511 0.7× 151 0.9× 82 0.6× 45 0.7× 43 0.8× 17 1.1k
Xu Wang 548 0.8× 163 1.0× 82 0.6× 46 0.7× 55 1.0× 21 1.1k
Hao Chen 527 0.8× 157 1.0× 81 0.5× 46 0.7× 41 0.8× 16 1.0k
Kai Zou 878 1.3× 169 1.0× 164 1.1× 68 1.0× 46 0.9× 26 1.2k
Gang Liu 471 0.7× 132 0.8× 81 0.5× 61 0.9× 41 0.8× 17 867
Zhengxiao Du 753 1.1× 218 1.3× 218 1.5× 56 0.8× 40 0.7× 12 1.0k

Countries citing papers authored by Ning Dai

Since Specialization
Citations

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

Fields of papers citing papers by Ning Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Ning Dai. A scholar is included among the top collaborators of Ning Dai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ning Dai. Ning Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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