Jie Lin

3.0k total citations
87 papers, 2.0k citations indexed

About

Jie Lin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Jie Lin has authored 87 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Computer Vision and Pattern Recognition, 30 papers in Artificial Intelligence and 13 papers in Molecular Biology. Recurrent topics in Jie Lin's work include Advanced Image and Video Retrieval Techniques (37 papers), Advanced Neural Network Applications (17 papers) and Image Retrieval and Classification Techniques (16 papers). Jie Lin is often cited by papers focused on Advanced Image and Video Retrieval Techniques (37 papers), Advanced Neural Network Applications (17 papers) and Image Retrieval and Classification Techniques (16 papers). Jie Lin collaborates with scholars based in Singapore, China and United States. Jie Lin's co-authors include Vijay Chandrasekhar, Peng Hu, Hongyuan Zhu, Xi Peng, Bappaditya Mandal, Liyuan Li, Ling‐Yu Duan, Donald Adjeroh, Bing‐Hua Jiang and Yue Jiang and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Jie Lin

76 papers receiving 1.9k citations

Peers

Jie Lin
Hao Luo China
Bailing Zhang China
Shishir K. Shah United States
Wenqiang Zhang China
Zhidong Deng China
Ngan Le United States
Xiu-Shen Wei China
Fei Su China
Pei Lv China
Hao Luo China
Jie Lin
Citations per year, relative to Jie Lin Jie Lin (= 1×) peers Hao Luo

Countries citing papers authored by Jie Lin

Since Specialization
Citations

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

Fields of papers citing papers by Jie Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jie Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Jie Lin. A scholar is included among the top collaborators of Jie Lin 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 Jie Lin. Jie Lin 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.
Cui, Kemi, Hong Peng, Jie Lin, et al.. (2025). Treatment and prognosis of pelvic-related urethral injuries in children: a 20-year single-center study and systematic review. BMC Pediatrics. 25(1). 277–277.
2.
Liu, Weide, Z. Wu, Henghui Ding, et al.. (2025). Exploiting independent query information for few-shot image segmentation. Displays. 91. 103179–103179.
3.
Chen, Xiangru, et al.. (2024). Contrastive Learning with Transformer Initialization and Clustering Prior for Text Representation. Applied Soft Computing. 166. 112162–112162.
4.
Wang, Zhe, Chunyun Chen, Qing Xu, et al.. (2024). From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks. IEEE Transactions on Neural Networks and Learning Systems. 36(4). 5837–5857. 4 indexed citations
5.
Jiang, Yue, Yuxuan Wang, Lin Shen, et al.. (2022). Identification of all-against-all protein–protein interactions based on deep hash learning. BMC Bioinformatics. 23(1). 266–266. 6 indexed citations
6.
Wu, Min, et al.. (2022). QLP: Deep Q-Learning for Pruning Deep Neural Networks. IEEE Transactions on Circuits and Systems for Video Technology. 32(10). 6488–6501. 18 indexed citations
7.
Liu, Xiaohong, et al.. (2022). Image Retrieval via Canonical Correlation Analysis and Binary Hypothesis Testing. Information. 13(3). 106–106.
8.
Hu, Peng, Xi Peng, Hongyuan Zhu, et al.. (2021). Deep Semisupervised Multiview Learning With Increasing Views. IEEE Transactions on Cybernetics. 52(12). 12954–12965. 11 indexed citations
9.
10.
Lin, Jie & Minghua Wei. (2020). Network Security Situation Prediction based on Combining 3D-CNNs and Bi-GRUs. International Journal of Performability Engineering. 16(12). 1875. 3 indexed citations
11.
Pham, Quang-Hieu, Ramanpreet Singh Pahwa, Yuda Chen, et al.. (2020). A*3D Dataset: Towards Autonomous Driving in Challenging Environments. 2267–2273. 108 indexed citations
12.
Lin, Jie, et al.. (2019). EAST-DNN: Expediting architectural SimulaTions using deep neural networks. 1–2. 1 indexed citations
13.
Liu, Fei, et al.. (2019). Intelligent and Secure Content-Based Image Retrieval for Mobile Users. IEEE Access. 7. 119209–119222. 32 indexed citations
14.
Lin, Jie, et al.. (2018). SSAW: A new sequence similarity analysis method based on the stationary discrete wavelet transform. BMC Bioinformatics. 19(1). 165–165. 185 indexed citations
15.
Lin, Jie, Donald Adjeroh, Bing‐Hua Jiang, & Yue Jiang. (2017). K  2 and K2*: efficient alignment-free sequence similarity measurement based on Kendall statistics. Bioinformatics. 34(10). 1682–1689. 7 indexed citations
16.
Chandrasekhar, Vijay, et al.. (2016). A practical guide to CNNs and Fisher Vectors for image instance retrieval. Signal Processing. 128. 426–439. 55 indexed citations
17.
Lin, Jie, et al.. (2016). Research on Stock Price Prediction Model based on GA Optimized SVM Parameters. International Journal of Security and Its Applications. 10(7). 269–280. 1 indexed citations
18.
Wang, Yitong, Ling‐Yu Duan, Jie Lin, Zhe Wang, & Tiejun Huang. (2015). Hierarchical multi-VLAD for image retrieval. 4629–4633. 5 indexed citations
19.
Lin, Jie, et al.. (2004). A hybrid neural network model for consciousness. Journal of Zhejiang University. Science A. 5(11). 1440–1448. 2 indexed citations
20.
Zhao, Qilong, et al.. (1996). Dropwise condensation on L-B film surface. Chemical Engineering and Processing - Process Intensification. 35(6). 473–477. 20 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Hao Luo Breakdown of academic impact, for papers by Bailing Zhang Breakdown of academic impact, for papers by Shishir K. Shah Breakdown of academic impact, for papers by Wenqiang Zhang Breakdown of academic impact, for papers by Zhidong Deng Breakdown of academic impact, for papers by Ngan Le Breakdown of academic impact, for papers by Xiu-Shen Wei Breakdown of academic impact, for papers by Fei Su Breakdown of academic impact, for papers by Pei Lv
Rankless by CCL
2026