Jie Lei

5.2k total citations · 3 hit papers
130 papers, 3.6k citations indexed

About

Jie Lei is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Jie Lei has authored 130 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Computer Vision and Pattern Recognition, 56 papers in Media Technology and 30 papers in Artificial Intelligence. Recurrent topics in Jie Lei's work include Remote-Sensing Image Classification (49 papers), Advanced Image Fusion Techniques (17 papers) and Advanced Image and Video Retrieval Techniques (17 papers). Jie Lei is often cited by papers focused on Remote-Sensing Image Classification (49 papers), Advanced Image Fusion Techniques (17 papers) and Advanced Image and Video Retrieval Techniques (17 papers). Jie Lei collaborates with scholars based in China, United States and Australia. Jie Lei's co-authors include Yunsong Li, Weiying Xie, Qian Du, Mohit Bansal, Tamara L. Berg, Xiuping Jia, Licheng Yu, Zhe Gan, Linjie Li and Tao Jiang and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Geoscience and Remote Sensing and Neuropsychopharmacology.

In The Last Decade

Jie Lei

119 papers receiving 3.5k citations

Hit Papers

Less is More: CLIPBERT for Video-and-Language Learning... 2018 2026 2020 2023 2021 2018 2023 100 200 300

Peers

Jie Lei
Wei Wei China
Byeungwoo Jeon South Korea
Michael J. Swain United States
Ronald Kemker United States
Wei Wei China
Jie Lei
Citations per year, relative to Jie Lei Jie Lei (= 1×) peers Wei Wei

Countries citing papers authored by Jie Lei

Since Specialization
Citations

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

Fields of papers citing papers by Jie Lei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jie Lei

This figure shows the co-authorship network connecting the top 25 collaborators of Jie Lei. A scholar is included among the top collaborators of Jie Lei 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 Lei. Jie Lei 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.
Guo, W., Weiying Xie, Xuefei Ning, et al.. (2025). ShiftQuant: Toward Accurate and Efficient Sub-8-bit Integer Training. IEEE Transactions on Circuits and Systems for Video Technology. 35(11). 10632–10648.
2.
Xie, Weiying, et al.. (2024). Adaptive Hierarchical Aggregation for Federated Object Detection. 3732–3740.
3.
Xie, Weiying, et al.. (2024). SeaDATE: Remedy Dual-Attention Transformer With Semantic Alignment via Contrast Learning for Multimodal Object Detection. IEEE Transactions on Circuits and Systems for Video Technology. 35(5). 4713–4726. 3 indexed citations
4.
Zhang, Jiaqing, et al.. (2023). Guided Hybrid Quantization for Object Detection in Remote Sensing Imagery via One-to-One Self-Teaching. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–15. 23 indexed citations
5.
Li, Yunsong, et al.. (2023). A Model-Driven Deep Mixture Network for Robust Hyperspectral Anomaly Detection. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–16. 15 indexed citations
6.
Xie, Weiying, et al.. (2022). Rank-Aware Generative Adversarial Network for Hyperspectral Band Selection. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–12. 4 indexed citations
7.
Lei, Jie, Yijie Gu, Weiying Xie, Yunsong Li, & Qian Du. (2022). Boundary Extraction Constrained Siamese Network for Remote Sensing Image Change Detection. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–13. 32 indexed citations
8.
Lei, Jie, Pan Liu, Weiying Xie, et al.. (2022). Spatial–Spectral Cross-Correlation Embedded Dual-Transfer Network for Object Tracking Using Hyperspectral Videos. Remote Sensing. 14(15). 3512–3512. 17 indexed citations
9.
Li, Linjie, Jie Lei, Zhe Gan, & Jingjing Liu. (2021). Adversarial VQA: A New Benchmark for Evaluating the Robustness of VQA Models. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 2022–2031. 31 indexed citations
10.
Jiang, Kai, Weiying Xie, Jie Lei, et al.. (2021). E2E-LIADE: End-to-End Local Invariant Autoencoding Density Estimation Model for Anomaly Target Detection in Hyperspectral Image. IEEE Transactions on Cybernetics. 52(11). 11385–11396. 35 indexed citations
11.
Jiang, Tao, Weiying Xie, Yunsong Li, Jie Lei, & Qian Du. (2021). Weakly Supervised Discriminative Learning With Spectral Constrained Generative Adversarial Network for Hyperspectral Anomaly Detection. IEEE Transactions on Neural Networks and Learning Systems. 33(11). 6504–6517. 81 indexed citations
12.
Li, Yunsong, Tao Jiang, Weiying Xie, Jie Lei, & Qian Du. (2021). Sparse Coding-Inspired GAN for Hyperspectral Anomaly Detection in Weakly Supervised Learning. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–11. 47 indexed citations
13.
Xie, Weiying, Baozhu Liu, Yunsong Li, Jie Lei, & Qian Du. (2020). Autoencoder and Adversarial-Learning-Based Semisupervised Background Estimation for Hyperspectral Anomaly Detection. IEEE Transactions on Geoscience and Remote Sensing. 58(8). 5416–5427. 92 indexed citations
14.
Xie, Weiying, et al.. (2020). Unsupervised spectral mapping and feature selection for hyperspectral anomaly detection. Neural Networks. 132. 144–154. 22 indexed citations
15.
Xie, Weiying, et al.. (2020). Characterization of Background-Anomaly Separability With Generative Adversarial Network for Hyperspectral Anomaly Detection. IEEE Transactions on Geoscience and Remote Sensing. 59(7). 6017–6028. 62 indexed citations
16.
Jiang, Kai, Weiying Xie, Yunsong Li, et al.. (2020). Semisupervised Spectral Learning With Generative Adversarial Network for Hyperspectral Anomaly Detection. IEEE Transactions on Geoscience and Remote Sensing. 58(7). 5224–5236. 82 indexed citations
17.
Xie, Weiying, et al.. (2020). HPGAN: Hyperspectral Pansharpening Using 3-D Generative Adversarial Networks. IEEE Transactions on Geoscience and Remote Sensing. 59(1). 463–477. 58 indexed citations
18.
Xie, Weiying, Tao Jiang, Yunsong Li, Xiuping Jia, & Jie Lei. (2019). Structure Tensor and Guided Filtering-Based Algorithm for Hyperspectral Anomaly Detection. IEEE Transactions on Geoscience and Remote Sensing. 57(7). 4218–4230. 100 indexed citations
19.
Xie, Weiying, et al.. (2019). Deep Latent Spectral Representation Learning-Based Hyperspectral Band Selection for Target Detection. IEEE Transactions on Geoscience and Remote Sensing. 58(3). 2015–2026. 46 indexed citations
20.
Lei, Jie, et al.. (2018). A Deep Pipelined Implementation of Hyperspectral Target Detection Algorithm on FPGA Using HLS. Remote Sensing. 10(4). 516–516. 14 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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