Jilan Xu

931 total citations · 1 hit paper
27 papers, 320 citations indexed

About

Jilan Xu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jilan Xu has authored 27 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jilan Xu's work include Multimodal Machine Learning Applications (7 papers), AI in cancer detection (6 papers) and Advanced Neural Network Applications (6 papers). Jilan Xu is often cited by papers focused on Multimodal Machine Learning Applications (7 papers), AI in cancer detection (6 papers) and Advanced Neural Network Applications (6 papers). Jilan Xu collaborates with scholars based in China, Australia and Hong Kong. Jilan Xu's co-authors include Xin Zhao, Yuejie Zhang, Yanchun Zhang, Xiaowei Xu, Rui Feng, Yu Qiao, Yi Wang, Yuping Shang, Junlin Hou and Weidi Xie and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Pattern Recognition and International Journal of Computer Vision.

In The Last Decade

Jilan Xu

23 papers receiving 314 citations

Hit Papers

MVBench: A Comprehensive Multi-modal Video Understanding ... 2024 2026 2025 2024 10 20 30 40 50
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. MVBench: A Comprehensive Multi-modal Video Understanding Benchmark
    2024 59 citations Kunchang Li, Yali Wang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jilan Xu China 9 140 114 68 43 18 27 320
Ziyan Zhang China 7 112 0.8× 260 2.3× 49 0.7× 13 0.3× 25 1.4× 15 430
Yanmei Huang China 6 47 0.3× 77 0.7× 71 1.0× 38 0.9× 11 0.6× 10 309
Lin Song China 10 322 2.3× 173 1.5× 25 0.4× 38 0.9× 15 0.8× 21 480
Pius Kwao Gadosey China 5 55 0.4× 73 0.6× 24 0.4× 24 0.6× 19 1.1× 10 320
Povilas Treigys Lithuania 12 73 0.5× 98 0.9× 57 0.8× 11 0.3× 10 0.6× 39 335
Kashif Javed Lone Pakistan 8 39 0.3× 102 0.9× 109 1.6× 19 0.4× 13 0.7× 15 273
Ruixuan Zhang China 9 72 0.5× 152 1.3× 30 0.4× 8 0.2× 20 1.1× 22 415
Ahmad MohdAziz Hussein Saudi Arabia 9 50 0.4× 150 1.3× 67 1.0× 6 0.1× 40 2.2× 17 358

Countries citing papers authored by Jilan Xu

Since Specialization
Citations

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

Fields of papers citing papers by Jilan Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jilan Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Jilan Xu. A scholar is included among the top collaborators of Jilan Xu 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 Jilan Xu. Jilan Xu 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.
Huang, Yifei, Jilan Xu, Xinyuan Chen, et al.. (2025). Vinci: A Real-time Smart Assistant Based on Egocentric Vision-language Model for Portable Devices. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 9(3). 1–33. 1 indexed citations
2.
Huang, Yifei, Guo Chen, Jilan Xu, et al.. (2025). Guiding Audio-Visual Question Answering with Collective Question Reasoning. International Journal of Computer Vision. 133(10). 6912–6929.
3.
Xu, Jilan, Yifei Huang, Guo Chen, et al.. (2024). Retrieval-Augmented Egocentric Video Captioning. 13525–13536. 8 indexed citations
4.
Hou, Junlin, et al.. (2024). Domain Adaptation Using Pseudo Labels for COVID-19 Detection. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 5141–5148. 2 indexed citations
5.
Hou, Junlin, et al.. (2024). Advancing COVID-19 Detection in 3D CT Scans. 5149–5156. 1 indexed citations
6.
Li, Kunchang, Yali Wang, Yinan He, et al.. (2024). MVBench: A Comprehensive Multi-modal Video Understanding Benchmark. 22195–22206. 59 indexed citations breakdown →
7.
8.
Sun, Xin, et al.. (2023). Exploring the impact of the digital economy on green total factor productivity in China: A spatial econometric perspective. Frontiers in Environmental Science. 10. 17 indexed citations
9.
Xu, Jilan, et al.. (2023). SCSGNet: Spatial-Correlated and Shape-Guided Network for Breast Mass Segmentation. 1–5. 2 indexed citations
10.
Wang, Piao, et al.. (2023). A two-stage interval-valued carbon price forecasting model based on bivariate empirical mode decomposition and error correction. Environmental Science and Pollution Research. 30(32). 78262–78278. 9 indexed citations
11.
Xu, Jilan, Junlin Hou, Yuejie Zhang, et al.. (2023). Learning Open-Vocabulary Semantic Segmentation Models From Natural Language Supervision. 2935–2944. 39 indexed citations
12.
Xu, Jilan, Rui Feng, Yuejie Zhang, et al.. (2023). Diabetic Retinopathy Grading with Weakly-Supervised Lesion Priors. 1–5. 5 indexed citations
13.
Xu, Jilan, Mohan Chen, Yuejie Zhang, et al.. (2023). Enhanced Knowledge Injection for Radiology Report Generation. 2053–2058. 3 indexed citations
14.
Zhang, Yanchun, et al.. (2023). MDU-Net: multi-scale densely connected U-Net for biomedical image segmentation. Health Information Science and Systems. 11(1). 13–13. 63 indexed citations
15.
Xu, Jilan, Rui-Wei Zhao, Yuejie Zhang, et al.. (2022). Cross-Field Transformer for Diabetic Retinopathy Grading on Two-field Fundus Images. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 985–990. 6 indexed citations
16.
Xu, Jilan, Xiaotong Li, Yuejie Zhang, et al.. (2022). MedSeq: Semantic Segmentation for Medical Image Sequences. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 1356–1361. 4 indexed citations
17.
Xu, Jilan, Yuejie Zhang, Rui Feng, et al.. (2022). CREAM: Weakly Supervised Object Localization via Class RE-Activation Mapping. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 9427–9436. 30 indexed citations
18.
Chen, Mingzhu, Xiaotong Li, Jilan Xu, et al.. (2022). Single-Modality Endoscopic Polyp Segmentation via Random Color Reversal Synthesis and Two-Branched Learning. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 1501–1504.
19.
Xu, Jilan, Shanshan Du, Rui Feng, et al.. (2021). Periphery-aware COVID-19 diagnosis with contrastive representation enhancement. Pattern Recognition. 118. 108005–108005. 11 indexed citations
20.
Zhang, Jiawei, et al.. (2018). Automatic segmentation of esophageal cancer pathological sections based on semantic segmentation. 9351. 1–5. 2 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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