Junqi Jin

2.9k total citations · 1 hit paper
12 papers, 1.6k citations indexed

About

Junqi Jin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, Junqi Jin has authored 12 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Automotive Engineering. Recurrent topics in Junqi Jin's work include Image and Video Quality Assessment (2 papers), Multimodal Machine Learning Applications (2 papers) and Non-Destructive Testing Techniques (2 papers). Junqi Jin is often cited by papers focused on Image and Video Quality Assessment (2 papers), Multimodal Machine Learning Applications (2 papers) and Non-Destructive Testing Techniques (2 papers). Junqi Jin collaborates with scholars based in China, United Kingdom and United States. Junqi Jin's co-authors include Kun Gai, Han Li, Ying Fan, Yanghui Yan, Zhu Han, Guorui Zhou, Xiao Ma, Xiaoqiang Zhu, Changshui Zhang and Kun Fu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Acta Biomaterialia and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Junqi Jin

10 papers receiving 1.5k citations

Hit Papers

Deep Interest Network for Click-Through Rate Prediction 2018 2026 2020 2023 2018 250 500 750 1000
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.

  1. Deep Interest Network for Click-Through Rate Prediction
    2018 1.1k citations Guorui Zhou, Xiaoqiang Zhu et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junqi Jin China 7 975 719 690 241 175 12 1.6k
Xu Chen China 20 1.3k 1.3× 1.3k 1.9× 487 0.7× 330 1.4× 228 1.3× 121 2.1k
Xinyang Yi United States 11 775 0.8× 788 1.1× 357 0.5× 230 1.0× 109 0.6× 18 1.3k
Binqiang Zhao China 14 436 0.4× 542 0.8× 377 0.5× 99 0.4× 94 0.5× 25 1.1k
Zaiqing Nie China 22 760 0.8× 1.2k 1.7× 416 0.6× 228 0.9× 286 1.6× 73 2.0k
Zheng Hu China 16 492 0.5× 314 0.4× 269 0.4× 100 0.4× 272 1.6× 84 1.2k
Zhenhua Huang China 19 300 0.3× 485 0.7× 276 0.4× 50 0.2× 171 1.0× 59 1.1k
Yipeng Zhou China 27 402 0.4× 797 1.1× 580 0.8× 34 0.1× 1.1k 6.2× 170 2.3k
Xiaoxuan Shen China 12 456 0.5× 495 0.7× 247 0.4× 56 0.2× 69 0.4× 38 915

Countries citing papers authored by Junqi Jin

Since Specialization
Citations

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

Fields of papers citing papers by Junqi Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junqi Jin

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

All Works

12 of 12 papers shown
1.
Xu, Zhiyuan, et al.. (2024). Reduction of Pulsed Eddy Current Probe Footprint Using Sequentially Excited Multiple Coils. Journal of Nondestructive Evaluation. 43(2). 4 indexed citations
2.
Chen, Hanqing, Zhiyuan Xu, Zhen Zhou, Junqi Jin, & Zihua Hu. (2023). Study on the Effect of Metal Mesh on Pulsed Eddy-Current Testing of Corrosion under Insulation Using an Early-Phase Signal Feature. Materials. 16(4). 1451–1451. 5 indexed citations
3.
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5.
Tang, Qi, Peng Tan, Zhaolai Dai, et al.. (2022). Hydrophobic modification improves the delivery of cell-penetrating peptides to eliminate intracellular pathogens in animals. Acta Biomaterialia. 157. 210–224. 27 indexed citations
6.
Jin, Junqi, et al.. (2019). Automatically Design Convolutional Neural Networks by Optimization With Submodularity and Supermodularity. IEEE Transactions on Neural Networks and Learning Systems. 31(9). 3215–3229. 6 indexed citations
7.
Chen, Dagui, Junqi Jin, Weinan Zhang, et al.. (2019). Learning to Advertise for Organic Traffic Maximization in E-Commerce Product Feeds. 2527–2535. 5 indexed citations
8.
Wang, Weixun, Junqi Jin, Jianye Hao, et al.. (2019). Learning Adaptive Display Exposure for Real-Time Advertising. 2595–2603. 9 indexed citations
9.
Fu, Kun, Jin Li, Junqi Jin, & Changshui Zhang. (2018). Image-Text Surgery: Efficient Concept Learning in Image Captioning by Generating Pseudopairs. IEEE Transactions on Neural Networks and Learning Systems. 29(12). 5910–5921. 19 indexed citations
10.
Zhou, Guorui, Xiaoqiang Zhu, Ying Fan, et al.. (2018). Deep Interest Network for Click-Through Rate Prediction. 1059–1068. 1134 indexed citations breakdown →
11.
Fu, Kun, Junqi Jin, Runpeng Cui, Fei Sha, & Changshui Zhang. (2016). Aligning Where to See and What to Tell: Image Captioning with Region-Based Attention and Scene-Specific Contexts. IEEE Transactions on Pattern Analysis and Machine Intelligence. 39(12). 2321–2334. 125 indexed citations
12.
Jin, Junqi, Kun Fu, & Changshui Zhang. (2014). Traffic Sign Recognition With Hinge Loss Trained Convolutional Neural Networks. IEEE Transactions on Intelligent Transportation Systems. 15(5). 1991–2000. 230 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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