Wenting Dai

603 total citations
25 papers, 424 citations indexed

About

Wenting Dai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Industrial and Manufacturing Engineering. According to data from OpenAlex, Wenting Dai has authored 25 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 6 papers in Industrial and Manufacturing Engineering. Recurrent topics in Wenting Dai's work include Industrial Vision Systems and Defect Detection (6 papers), Image and Object Detection Techniques (3 papers) and Image Processing Techniques and Applications (3 papers). Wenting Dai is often cited by papers focused on Industrial Vision Systems and Defect Detection (6 papers), Image and Object Detection Techniques (3 papers) and Image Processing Techniques and Applications (3 papers). Wenting Dai collaborates with scholars based in China, Singapore and Australia. Wenting Dai's co-authors include Alexei Sourin, Marius Erdt, Abdul Mujeeb, Xinwen Jin, Qiang Zhang, Ihar Volkau, Dandan Deng, Jixin Li, Yutao Jiao and Yuhua Xu and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Scientific Reports and IEEE Transactions on Industrial Informatics.

In The Last Decade

Wenting Dai

22 papers receiving 411 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wenting Dai China 10 233 120 73 73 60 25 424
Dehua Zhang China 13 96 0.4× 106 0.9× 94 1.3× 72 1.0× 29 0.5× 72 552
Silvia Satorres Martínez Spain 10 181 0.8× 124 1.0× 16 0.2× 37 0.5× 91 1.5× 37 396
Thomas Längle Germany 12 64 0.3× 99 0.8× 41 0.6× 52 0.7× 70 1.2× 84 390
Yanmei Meng China 15 34 0.1× 115 1.0× 98 1.3× 63 0.9× 62 1.0× 67 650
Muhammad Ilyas Pakistan 12 47 0.2× 82 0.7× 54 0.7× 59 0.8× 18 0.3× 44 385
Xiaoxi Hu China 12 73 0.3× 46 0.4× 71 1.0× 69 0.9× 17 0.3× 47 468
Qun Sun China 14 91 0.4× 44 0.4× 34 0.5× 126 1.7× 12 0.2× 79 588
Jiaming Qi China 10 86 0.4× 144 1.2× 26 0.4× 16 0.2× 18 0.3× 30 431
Ismael López-Juárez Mexico 13 126 0.5× 118 1.0× 114 1.6× 33 0.5× 9 0.1× 75 504
Jing Jie China 13 75 0.3× 27 0.2× 170 2.3× 53 0.7× 34 0.6× 76 539

Countries citing papers authored by Wenting Dai

Since Specialization
Citations

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

Fields of papers citing papers by Wenting Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenting Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Wenting Dai. A scholar is included among the top collaborators of Wenting 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 Wenting Dai. Wenting Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jiao, Yutao, et al.. (2025). Dual Auction Mechanism for Transaction Relay and Validation in Complex Wireless Blockchain Network. IEEE Internet of Things Journal. 1–1. 1 indexed citations
2.
3.
Luo, Yuhuan, et al.. (2025). Polyphenols Improve the Digestibility of Eel Myofibrillar Protein by Alleviating Oxidation Through Noncovalent Interaction. Journal of Agricultural and Food Chemistry. 73(9). 5485–5499. 2 indexed citations
4.
5.
Chen, Jin, et al.. (2023). Connectivity-Aware Contract for Incentivizing IoT Devices in Complex Wireless Blockchain. IEEE Internet of Things Journal. 10(12). 10413–10425. 16 indexed citations
6.
Wang, Shiping, et al.. (2023). Evaluation of Areca Quality Based on Principal Component and Hierarchical Cluster Analyses in Hainan, China. HortScience. 58(6). 699–703. 4 indexed citations
7.
Wang, Shiping, Hong Wang, Qicheng Jiang, et al.. (2023). Supplementation of dietary areca nut extract modulates the growth performance, cecal microbiota composition, and immune function in Wenchang chickens. Frontiers in Veterinary Science. 10. 1278312–1278312. 3 indexed citations
8.
Dai, Wenting, et al.. (2023). Automated Anomaly Detection for Surface Defects by Dual Generative Networks With Limited Training Data. IEEE Transactions on Industrial Informatics. 20(1). 421–431. 17 indexed citations
9.
Jiao, Yutao, et al.. (2022). A Stackelberg Incentive Mechanism for Wireless Federated Learning With Differential Privacy. IEEE Wireless Communications Letters. 11(9). 1805–1809. 17 indexed citations
10.
Dai, Wenting, Marius Erdt, & Alexei Sourin. (2021). Self-supervised pairing image clustering for automated quality control. The Visual Computer. 38(4). 1181–1194. 9 indexed citations
11.
Volkau, Ihar, Abdul Mujeeb, Wenting Dai, Marius Erdt, & Alexei Sourin. (2021). The Impact of a Number of Samples on Unsupervised Feature Extraction, Based on Deep Learning for Detection Defects in Printed Circuit Boards. Future Internet. 14(1). 8–8. 9 indexed citations
12.
Zhang, Qiang, Dandan Deng, Wenting Dai, Jixin Li, & Xinwen Jin. (2020). Optimization of culture conditions for differentiation of melon based on artificial neural network and genetic algorithm. Scientific Reports. 10(1). 3524–3524. 45 indexed citations
13.
Zhang, Qıang, Wenting Dai, Xuhui Wang, & Jinxin Li. (2020). Elevated CO2 concentration affects the defense of tobacco and melon against lepidopteran larvae through the jasmonic acid signaling pathway. Scientific Reports. 10(1). 8 indexed citations
14.
Zhang, Qiang, Wenting Dai, Xinwen Jin, & Jixin Li. (2019). Calcium chloride and 1-methylcyclopropene treatments delay postharvest and reduce decay of New Queen melon. Scientific Reports. 9(1). 13563–13563. 18 indexed citations
15.
Mujeeb, Abdul, Wenting Dai, Marius Erdt, & Alexei Sourin. (2019). One class based feature learning approach for defect detection using deep autoencoders. Advanced Engineering Informatics. 42. 100933–100933. 73 indexed citations
16.
Dai, Wenting, Abdul Mujeeb, Marius Erdt, & Alexei Sourin. (2019). Soldering defect detection in automatic optical inspection. Advanced Engineering Informatics. 43. 101004–101004. 108 indexed citations
17.
Dai, Wenting, Abdul Mujeeb, Marius Erdt, & Alexei Sourin. (2018). Towards Automatic Optical Inspection of Soldering Defects. DR-NTU (Nanyang Technological University). 375–382. 13 indexed citations
18.
Mujeeb, Abdul, Wenting Dai, Marius Erdt, & Alexei Sourin. (2018). Unsupervised Surface Defect Detection Using Deep Autoencoders and Data Augmentation. DR-NTU (Nanyang Technological University). 391–398. 30 indexed citations
19.
Peng, Zhenghong, et al.. (2010). Research on Trip-generation Forecasting Model based on neural networks and genetic algorithms. 2822–2825. 1 indexed citations
20.
Dai, Wenting, et al.. (2010). Early-warning model of grain price based on Support Vector Machine in China. 252–256. 1 indexed citations

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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