Jun Lei

556 total citations
46 papers, 359 citations indexed

About

Jun Lei is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Jun Lei has authored 46 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 20 papers in Artificial Intelligence and 11 papers in Information Systems. Recurrent topics in Jun Lei's work include Advanced Image and Video Retrieval Techniques (12 papers), Recommender Systems and Techniques (9 papers) and Anomaly Detection Techniques and Applications (7 papers). Jun Lei is often cited by papers focused on Advanced Image and Video Retrieval Techniques (12 papers), Recommender Systems and Techniques (9 papers) and Anomaly Detection Techniques and Applications (7 papers). Jun Lei collaborates with scholars based in China and Canada. Jun Lei's co-authors include Dan Tu, Qiang Guo, Shuo Li, Guohui Li, Jun Zhang, Fenglei Wang, Jun Zhang, Yifang Qin, Fang Sun and Ming Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and Neurocomputing.

In The Last Decade

Jun Lei

44 papers receiving 351 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Lei China 10 212 133 86 42 27 46 359
Peng Dai China 8 237 1.1× 206 1.5× 154 1.8× 17 0.4× 18 0.7× 18 443
Uday Kulkarni India 13 243 1.1× 151 1.1× 116 1.3× 52 1.2× 8 0.3× 63 517
Xiangyan Zeng United States 11 159 0.8× 121 0.9× 36 0.4× 30 0.7× 19 0.7× 35 394
M.A. Saleem Durai India 6 193 0.9× 145 1.1× 36 0.4× 20 0.5× 7 0.3× 29 368
Hongrong Cheng China 8 104 0.5× 137 1.0× 45 0.5× 14 0.3× 13 0.5× 22 318
Neeta Nain India 14 484 2.3× 191 1.4× 96 1.1× 63 1.5× 12 0.4× 80 647
Junbiao Pang China 12 247 1.2× 138 1.0× 30 0.3× 46 1.1× 60 2.2× 40 406
Chi Jiang China 7 83 0.4× 109 0.8× 53 0.6× 22 0.5× 11 0.4× 19 300

Countries citing papers authored by Jun Lei

Since Specialization
Citations

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

Fields of papers citing papers by Jun Lei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Lei

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Lei. A scholar is included among the top collaborators of Jun 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 Jun Lei. Jun 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.
Li, Yaoguang, Peng Han, Jun Lei, et al.. (2025). Performance and hypothetical clinical impact of an mNGS-based machine learning model for antimicrobial susceptibility prediction of five ESKAPEE bacteria. Microbiology Spectrum. 13(6). e0259224–e0259224. 1 indexed citations
3.
Li, Wenjie, et al.. (2024). ReFer: Retrieval-Enhanced Vertical Federated Recommendation for Full Set User Benefit. 1763–1773. 1 indexed citations
4.
Zhang, Jun, et al.. (2024). Hierarchical Progressive Image Forgery Detection and Localization Method Based on UNet. Big Data and Cognitive Computing. 8(9). 119–119. 1 indexed citations
5.
Lei, Jun, et al.. (2023). Deep Context Interest Network for Click-Through Rate Prediction. 3948–3952. 3 indexed citations
6.
Qin, Yifang, Yifan Wang, Fang Sun, et al.. (2023). DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation. 508–516. 46 indexed citations
7.
Chen, Mingjian, et al.. (2023). STGIN: Spatial-Temporal Graph Interaction Network for Large-scale POI Recommendation. 4120–4124. 3 indexed citations
8.
Yang, Jiaxin, et al.. (2023). Locate, Refine and Restore: A Progressive Enhancement Network for Camouflaged Object Detection. 1116–1124. 17 indexed citations
9.
Zhang, Jun, et al.. (2022). Patch-DFD: Patch-based end-to-end DeepFake discriminator. Neurocomputing. 501. 583–595. 21 indexed citations
10.
Zhou, Hao, Jun Zhang, Tingjin Luo, Yazhou Yang, & Jun Lei. (2022). Debiased Scene Graph Generation for Dual Imbalance Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 1–15. 7 indexed citations
12.
Li, Hengkai, Li Qin, Lijuan Wang, & Jun Lei. (2019). The Multi-source Image NDVI Interactive Corrective Method for Long-term Remote Sensing Monitoring of Rare Earth Mining Area. Journal of Applied Science and Engineering. 22(3). 549–556. 1 indexed citations
13.
Li, Guohui, et al.. (2019). FDCNet: Frontend-Backend Fusion Dilated Network Through Channel-Attention Mechanism. Applied Sciences. 9(17). 3466–3466. 4 indexed citations
14.
Li, Hengkai, Jun Lei, & Jiao Wu. (2017). Evolution Analysis of Vegetation Cover under the Disturbance of Rare Earth Mining: a Case in Lingbei Mining Area. Journal of Applied Science and Engineering. 20(3). 393–400. 5 indexed citations
15.
Wang, Fenglei, Qiang Guo, Jun Lei, & Jun Zhang. (2017). Convolutional recurrent neural networks with hidden Markov model bootstrap for scene text recognition. IET Computer Vision. 11(6). 497–504. 11 indexed citations
16.
Lei, Jun, Guohui Li, Jun Zhang, Qiang Guo, & Dan Tu. (2016). Continuous action segmentation and recognition using hybrid convolutional neural network‐hidden Markov model model. IET Computer Vision. 10(6). 537–544. 28 indexed citations
17.
Li, Shuo, Jun Zhang, Qiang Guo, Jun Lei, & Dan Tu. (2016). Generating image descriptions with multidirectional 2D long short‐term memory. IET Computer Vision. 11(1). 104–111. 5 indexed citations
18.
Zhou, Hao, Jun Zhang, Jun Lei, Shuo Li, & Dan Tu. (2016). Image semantic segmentation based on FCN-CRF model. 9–14. 23 indexed citations
19.
Lei, Jun, et al.. (2015). Enhanced coherent point drift algorithm for remote sensing image registration. Journal of Applied Remote Sensing. 9(1). 95074–95074. 2 indexed citations
20.
Lei, Jun. (2013). Pattern recognition of human arm motion based on neural network ensemble method. Journal of Jilin University. 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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