Minlong Lu

532 total citations
12 papers, 356 citations indexed

About

Minlong Lu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Minlong Lu has authored 12 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Information Systems. Recurrent topics in Minlong Lu's work include Multimodal Machine Learning Applications (5 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Advanced Vision and Imaging (2 papers). Minlong Lu is often cited by papers focused on Multimodal Machine Learning Applications (5 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Advanced Vision and Imaging (2 papers). Minlong Lu collaborates with scholars based in China, Canada and United States. Minlong Lu's co-authors include Ze-Nian Li, Zhaohui Wu, Yueming Wang, Gang Pan, Yuting Zhang, Kui Jia, Yueming Wang, Gang Pan, Jianqiao Li and Yunchao Wei and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Cybernetics.

In The Last Decade

Minlong Lu

12 papers receiving 347 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minlong Lu China 10 240 127 88 48 47 12 356
Myung-Cheol Roh South Korea 10 242 1.0× 45 0.4× 69 0.8× 83 1.7× 31 0.7× 17 428
Haocong Rao China 10 284 1.2× 175 1.4× 143 1.6× 49 1.0× 18 0.4× 15 422
Wenlong Hang China 10 128 0.5× 54 0.4× 130 1.5× 63 1.3× 47 1.0× 25 380
Woosub Jung United States 8 107 0.4× 108 0.9× 76 0.9× 98 2.0× 195 4.1× 19 443
Brahim Nini Algeria 6 358 1.5× 98 0.8× 163 1.9× 55 1.1× 39 0.8× 22 444
Stanislav Panev United States 6 96 0.4× 61 0.5× 20 0.2× 39 0.8× 89 1.9× 11 274
Hyuntae Jeong South Korea 8 131 0.5× 92 0.7× 60 0.7× 27 0.6× 16 0.3× 25 325
Lorena Isabel Barona López Ecuador 13 32 0.1× 109 0.9× 40 0.5× 93 1.9× 48 1.0× 33 428
Sicheng Li China 6 267 1.1× 145 1.1× 185 2.1× 57 1.2× 57 1.2× 17 348
Dohyung Kim South Korea 10 286 1.2× 62 0.5× 116 1.3× 33 0.7× 26 0.6× 38 397

Countries citing papers authored by Minlong Lu

Since Specialization
Citations

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

Fields of papers citing papers by Minlong Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minlong Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Minlong Lu. A scholar is included among the top collaborators of Minlong Lu 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 Minlong Lu. Minlong Lu 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.
Dong, Xiao, Yunchao Wei, Xiao-Yong Wei, et al.. (2023). Entity-Graph Enhanced Cross-Modal Pretraining for Instance-level Product Retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(11). 1–16. 9 indexed citations
2.
He, Yue, Minlong Lu, Chen Jiang, et al.. (2023). TransVCL: Attention-Enhanced Video Copy Localization Network with Flexible Supervision. Proceedings of the AAAI Conference on Artificial Intelligence. 37(1). 799–807. 11 indexed citations
3.
Dong, Xiao, Gengwei Zhang, Yi Ding, et al.. (2022). Caption-Aided Product Detection via Collaborative Pseudo-Label Harmonization. IEEE Transactions on Multimedia. 25. 1916–1927. 2 indexed citations
4.
Wang, Tianshu, Hongyu Lin, Cheng Fu, et al.. (2022). Bridging the Gap between Reality and Ideality of Entity Matching: A Revisiting and Benchmark Re-Construction. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 3978–3984. 1 indexed citations
5.
Dong, Xiao, Yunchao Wei, Michael Kampffmeyer, et al.. (2022). M5Product: Self-harmonized Contrastive Learning for E-commercial Multi-modal Pretraining. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 21220–21230. 19 indexed citations
6.
Dong, Xiao, Yunchao Wei, Minlong Lu, et al.. (2021). Product1M: Towards Weakly Supervised Instance-Level Product Retrieval via Cross-Modal Pretraining. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 11762–11771. 32 indexed citations
7.
Lu, Minlong, et al.. (2019). Learning Spatiotemporal Attention for Egocentric Action Recognition. 4425–4434. 16 indexed citations
8.
Lu, Minlong, Ze-Nian Li, Yueming Wang, & Gang Pan. (2019). Deep Attention Network for Egocentric Action Recognition. IEEE Transactions on Image Processing. 28(8). 3703–3713. 41 indexed citations
9.
Li, Jianqiao, Minlong Lu, & Ze-Nian Li. (2015). Continuous Depth Map Reconstruction From Light Fields. IEEE Transactions on Image Processing. 24(11). 3257–3265. 38 indexed citations
10.
Wang, Yueming, Minlong Lu, Zhaohui Wu, et al.. (2015). Visual Cue-Guided Rat Cyborg for Automatic Navigation [Research Frontier]. IEEE Computational Intelligence Magazine. 10(2). 42–52. 24 indexed citations
11.
Zhang, Yuting, Gang Pan, Kui Jia, et al.. (2014). Accelerometer-Based Gait Recognition by Sparse Representation of Signature Points With Clusters. IEEE Transactions on Cybernetics. 45(9). 1864–1875. 145 indexed citations
12.
Lu, Minlong, Yueming Wang, & Gang Pan. (2013). Generating fluent tubes in video synopsis. 2292–2296. 18 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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