Xiankai Lu

3.9k total citations · 1 hit paper
61 papers, 2.3k citations indexed

About

Xiankai Lu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Xiankai Lu has authored 61 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 10 papers in Aerospace Engineering. Recurrent topics in Xiankai Lu's work include Video Surveillance and Tracking Methods (22 papers), Advanced Image and Video Retrieval Techniques (17 papers) and Advanced Neural Network Applications (16 papers). Xiankai Lu is often cited by papers focused on Video Surveillance and Tracking Methods (22 papers), Advanced Image and Video Retrieval Techniques (17 papers) and Advanced Neural Network Applications (16 papers). Xiankai Lu collaborates with scholars based in China, United Arab Emirates and Singapore. Xiankai Lu's co-authors include Wenguan Wang, Jianbing Shen, Ling Shao, Jianbing Shen, David Crandall, Chao Ma, Fatih Porikli, Steven C. H. Hoi, Haibin Ling and Yilong Yin and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Xiankai Lu

53 papers receiving 2.3k citations

Hit Papers

See More, Know More: Unsupervised Video Object Segmentati... 2019 2026 2021 2023 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiankai Lu China 21 1.9k 428 373 197 111 61 2.3k
Shengfeng He China 31 2.9k 1.5× 521 1.2× 595 1.6× 210 1.1× 88 0.8× 158 3.5k
Rao Muhammad Anwer United Arab Emirates 24 1.6k 0.8× 497 1.2× 521 1.4× 194 1.0× 57 0.5× 60 2.1k
Xingping Dong China 20 1.6k 0.8× 296 0.7× 177 0.5× 211 1.1× 147 1.3× 30 1.9k
Jiale Cao China 21 1.2k 0.6× 313 0.7× 202 0.5× 202 1.0× 85 0.8× 74 1.6k
Xizhou Zhu China 15 1.9k 1.0× 644 1.5× 249 0.7× 321 1.6× 50 0.5× 25 2.7k
Quanfu Fan United States 18 1.3k 0.7× 587 1.4× 251 0.7× 132 0.7× 51 0.5× 48 2.1k
Margret Keuper Germany 11 2.3k 1.2× 430 1.0× 304 0.8× 296 1.5× 40 0.4× 35 2.6k
Mengchen Liu United Kingdom 6 1.3k 0.7× 438 1.0× 301 0.8× 220 1.1× 48 0.4× 7 1.9k

Countries citing papers authored by Xiankai Lu

Since Specialization
Citations

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

Fields of papers citing papers by Xiankai Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiankai Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiankai Lu. A scholar is included among the top collaborators of Xiankai 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 Xiankai Lu. Xiankai Lu 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.
Ji, Jinsheng, Xiankai Lu, Tao Zhang, Yiyou Guo, & Gongping Yang. (2025). Remote Sensing Scene Classification via Pseudo-Category-Relationand Orthogonal Feature Learning. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–14.
2.
Han, H., et al.. (2025). LAC-PS: A Light Direction Selection Policy Under the Accuracy Constraint for Photometric Stereo. IEEE Transactions on Circuits and Systems for Video Technology. 35(12). 12622–12635.
3.
Fang, Hao, Runmin Cong, Xiankai Lu, et al.. (2025). Decoupled Motion Expression Video Segmentation. 13821–13831. 1 indexed citations
4.
Lu, Xiankai, et al.. (2025). LogiCzsl: Exploring Logic-induced Representation for Compositional Zero-shot Learning. 30301–30311. 1 indexed citations
5.
Liu, Jiahang, et al.. (2025). A contrast-invariant feature extraction framework for single-domain generalization in infrared small target detection. Knowledge-Based Systems. 310. 112963–112963. 3 indexed citations
6.
Fang, Hao, et al.. (2025). Semantic and Sequential Alignment for Referring Video Object Segmentation. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 19067–19076. 1 indexed citations
7.
Zhou, Xiaofei, Xiankai Lu, Yaoqi Sun, et al.. (2024). Quality-Aware Selective Fusion Network for V-D-T Salient Object Detection. IEEE Transactions on Image Processing. 33. 3212–3226. 20 indexed citations
8.
Zhang, Jin, Ruiheng Zhang, Lixin Xu, et al.. (2024). FasterSal: Robust and Real-Time Single-Stream Architecture for RGB-D Salient Object Detection. IEEE Transactions on Multimedia. 27. 2477–2488. 11 indexed citations
9.
Xu, Ning, Weiyao Lin, Xiankai Lu, & Yunchao Wei. (2023). Video Object Tracking. 2 indexed citations
10.
Lu, Xiankai, Dongfang Liu, Xiushan Nie, et al.. (2023). Reformulating Graph Kernels for Self-Supervised Space-Time Correspondence Learning. IEEE Transactions on Image Processing. 32. 6543–6557. 14 indexed citations
11.
Gong, Yongshun, Zhibin Li, Wei Liu, et al.. (2023). Missingness-Pattern-Adaptive Learning With Incomplete Data. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(9). 11053–11066. 4 indexed citations
12.
Ji, Jinsheng, et al.. (2023). Video Corpus Moment Retrieval via Deformable Multigranularity Feature Fusion and Adversarial Training. IEEE Transactions on Circuits and Systems for Video Technology. 34(8). 6686–6698. 10 indexed citations
13.
Han, Zhongyi, et al.. (2023). SAFER-STUDENT for Safe Deep Semi-Supervised Learning With Unseen-Class Unlabeled Data. IEEE Transactions on Knowledge and Data Engineering. 36(1). 318–334. 5 indexed citations
14.
Lu, Xiankai, et al.. (2023). Exposing the Self-Supervised Space-Time Correspondence Learning via Graph Kernels. Proceedings of the AAAI Conference on Artificial Intelligence. 37(2). 2110–2118. 10 indexed citations
15.
Ji, Jinsheng, Xiaoming Xi, Xiankai Lu, Yiyou Guo, & Huan Xie. (2023). From Coarse to Fine: Knowledge Distillation for Remote Sensing Scene Classification. 5427–5430.
16.
Ji, Jinsheng, Xiankai Lu, Tao Zhang, Yiyou Guo, & Huan Xie. (2023). From Coarse to Fine: Learning Semantic Relations for Hyperspectral Image Classification. 48. 7653–7656.
17.
Xu, Ning, Weiyao Lin, Xiankai Lu, & Yunchao Wei. (2023). Video Object Segmentation.
18.
Lu, Xiankai, et al.. (2021). Video Object Segmentation Using Global and Instance Embedding Learning. 16831–16840. 37 indexed citations
19.
Wang, Wenguan, Xiankai Lu, Jianbing Shen, David Crandall, & Ling Shao. (2019). Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks. 9235–9244. 224 indexed citations
20.
Lu, Xiankai, et al.. (2018). Learning channel-aware deep regression for object tracking. Pattern Recognition Letters. 127. 103–109. 15 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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