Ning Dai

1.7k total citations · 1 hit paper
13 papers, 954 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 954 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 Manufacturing Process and Optimization (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 Manufacturing Process and Optimization (2 papers). Ning Dai collaborates with scholars based in China. Ning Dai's co-authors include Yige Xu, Tianxiang Sun, Xipeng Qiu, Yunfan Shao, Xuanjing Huang, Xiaohan Hu, Bo Cao, Xudong Hu, Lei Shi and Xudong Hu and has published in prestigious journals such as Scientific Reports, Sensors and Applied Sciences.

In The Last Decade

Ning Dai

12 papers receiving 920 citations

Hit Papers

align trajectories

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 threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Pre-trained models for natural language processing: A survey

2020 922 citations Xipeng Qiu, Tianxiang Sun et al. Science China Technological Sciences profile →

Peers

Ning Dai

AI

IS

CVPR

SP

MB

Cunxiang Wang China

Yunfan Shao China

Kaijie Zhu China

Kai Zou China

Xiaoyuan Yi China

Tianxiang Sun China

Amir Pouran Ben Veyseh United States

Xiaorui Liu United States

Elior Sulem Israel

Zhuosheng Zhang China

Cunxiang Wang China

Ning Dai

628 ×0.9

AI

165 ×1.0

IS

106 ×0.7

CVPR

46 ×0.7

SP

44 ×0.8

MB

Citations per year, relative to Ning Dai Ning Dai (= 1×) peers Cunxiang Wang

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

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

1.

Dai, Ning, et al.. (2025). A study on lightweight algorithms for fabric defect detection. Textile Research Journal. 1 indexed citations

2.

Dai, Ning, et al.. (2025). Development of a standardized data collection and intelligent fabric quality prediction system for the weaving department. Journal of Engineered Fibers and Fabrics. 20. 7 indexed citations

3.

Dai, Ning, et al.. (2025). Research on flexible weaving planning based on NSGA-II algorithm. Journal of Industrial Textiles. 55. 1 indexed citations

4.

Dai, Ning, et al.. (2025). Research on a lightweight cone yarn varieties recognition model. Measurement Science and Technology. 36(8). 86202–86202.

5.

Dai, Ning, et al.. (2025). Blind super-resolution network based on local fuzzy discriminative loss for fabric data augmentation. Journal of Engineered Fibers and Fabrics. 20. 11 indexed citations

6.

Hu, Xudong, et al.. (2025). Improved generative adversarial networks for denoising fabric defect images. Textile Research Journal. 95(15-16). 1877–1901. 1 indexed citations

7.

Dai, Ning, et al.. (2024). Research on high-speed classification and location algorithm for logistics parcels based on a monocular camera. Scientific Reports. 14(1). 15901–15901. 1 indexed citations

8.

Dai, Ning, et al.. (2024). Lightweight bobbin yarn detection model for auto-coner with yarn bank. Scientific Reports. 14(1). 16136–16136. 2 indexed citations

9.

Dai, Ning, et al.. (2024). A Lightweight Barcode Detection Algorithm Based on Deep Learning. Applied Sciences. 14(22). 10417–10417. 1 indexed citations

10.

Dai, Ning, et al.. (2024). Research on the Algorithm of Position Correction for High-Speed Moving Express Packages Based on Traditional Vision and AI Vision. Sensors. 24(3). 892–892. 1 indexed citations

11.

Hu, Xiaohan, et al.. (2024). YOLOvT: CSPNet-based attention for a lightweight textile defect detection model. Textile Research Journal. 94(9-10). 1021–1039. 2 indexed citations

12.

Dai, Ning, et al.. (2023). Prediction of Cotton Yarn Quality Based on Attention-GRU. Applied Sciences. 13(18). 10003–10003. 4 indexed citations

13.

Qiu, Xipeng, Tianxiang Sun, Yige Xu, et al.. (2020). Pre-trained models for natural language processing: A survey. Science China Technological Sciences. 63(10). 1872–1897. 922 indexed citations breakdown →

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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