Xiangju Lu

852 total citations · 1 hit paper
11 papers, 522 citations indexed

About

Xiangju Lu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Xiangju Lu has authored 11 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 4 papers in Signal Processing and 1 paper in Artificial Intelligence. Recurrent topics in Xiangju Lu's work include Face recognition and analysis (7 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Video Surveillance and Tracking Methods (3 papers). Xiangju Lu is often cited by papers focused on Face recognition and analysis (7 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Video Surveillance and Tracking Methods (3 papers). Xiangju Lu collaborates with scholars based in China. Xiangju Lu's co-authors include Yuanliu Liu, Dian Li, Fan Yin, Yafeng Deng, Song Shi, Jia Guo, Debing Zhang, Jiankang Deng, Jia Li and Yi Zheng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers & Graphics and arXiv (Cornell University).

In The Last Decade

Xiangju Lu

11 papers receiving 508 citations

Hit Papers

Video-based emotion recognition using CNN-RNN and C3D hyb... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiangju Lu China 6 363 245 134 92 46 11 522
Zhanpeng Zhang China 10 571 1.6× 220 0.9× 128 1.0× 93 1.0× 47 1.0× 13 667
Dian Li China 6 440 1.2× 241 1.0× 81 0.6× 161 1.8× 44 1.0× 14 599
Arman Savran Türkiye 10 306 0.8× 230 0.9× 88 0.7× 47 0.5× 52 1.1× 22 418
Yu Ding China 13 483 1.3× 201 0.8× 186 1.4× 159 1.7× 51 1.1× 54 753
Fatemeh Noroozi Estonia 10 169 0.5× 271 1.1× 154 1.1× 82 0.9× 64 1.4× 15 475
Yuanliu Liu China 6 285 0.8× 243 1.0× 75 0.6× 74 0.8× 44 1.0× 10 425
Dejan Arsić Germany 12 224 0.6× 212 0.9× 228 1.7× 226 2.5× 32 0.7× 42 476
Changbo Hu United States 10 563 1.6× 285 1.2× 66 0.5× 64 0.7× 41 0.9× 20 653
Yante Li Finland 10 249 0.7× 263 1.1× 65 0.5× 127 1.4× 58 1.3× 20 475
Guanming Lu China 11 205 0.6× 199 0.8× 53 0.4× 100 1.1× 69 1.5× 66 452

Countries citing papers authored by Xiangju Lu

Since Specialization
Citations

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

Fields of papers citing papers by Xiangju Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangju Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiangju Lu. A scholar is included among the top collaborators of Xiangju 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 Xiangju Lu. Xiangju Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Weng, Dongdong, et al.. (2024). Audio-to-Deep-Lip: Speaking lip synthesis based on 3D landmarks. Computers & Graphics. 120. 103925–103925. 1 indexed citations
2.
Lu, Xiangju, et al.. (2022). Migrating Face Swap to Mobile Devices: A Lightweight Framework and a Supervised Training Solution. 2022 IEEE International Conference on Multimedia and Expo (ICME). 1–6. 1 indexed citations
3.
Zhou, Yong & Xiangju Lu. (2022). HiFi-SVC: Fast High Fidelity Cross-Domain Singing Voice Conversion. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 6667–6671. 8 indexed citations
4.
Zhu, Hao, et al.. (2022). Detailed Facial Geometry Recovery from Multi-View Images by Learning an Implicit Function. Proceedings of the AAAI Conference on Artificial Intelligence. 36(3). 2839–2847. 12 indexed citations
5.
Ge, Shiming, et al.. (2020). Ultrafast Video Attention Prediction with Coupled Knowledge Distillation. Proceedings of the AAAI Conference on Artificial Intelligence. 34(7). 10802–10809. 10 indexed citations
6.
Zheng, Yi, et al.. (2020). Cartoon Face Recognition. 2264–2272. 28 indexed citations
7.
Zheng, Yi, et al.. (2019). iCartoonFace: A Benchmark of Cartoon Person Recognition. arXiv (Cornell University). 1 indexed citations
8.
Deng, Jiankang, Jia Guo, Debing Zhang, et al.. (2019). Lightweight Face Recognition Challenge. 2638–2646. 86 indexed citations
9.
Liu, Yuanliu, Bo Peng, Yong Zhou, et al.. (2019). iQIYI Celebrity Video Identification Challenge. 2516–2520. 5 indexed citations
10.
Lu, Xiangju, et al.. (2018). [Application of Touch DNA in Investigation Practice].. SHILAP Revista de lepidopterología. 34(3). 294–298. 2 indexed citations
11.
Yin, Fan, Xiangju Lu, Dian Li, & Yuanliu Liu. (2016). Video-based emotion recognition using CNN-RNN and C3D hybrid networks. 445–450. 368 indexed citations breakdown →

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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