Jialun Wu

513 total citations
27 papers, 249 citations indexed

About

Jialun Wu is a scholar working on Artificial Intelligence, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jialun Wu has authored 27 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 8 papers in Molecular Biology and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jialun Wu's work include Topic Modeling (10 papers), Machine Learning in Healthcare (8 papers) and AI in cancer detection (8 papers). Jialun Wu is often cited by papers focused on Topic Modeling (10 papers), Machine Learning in Healthcare (8 papers) and AI in cancer detection (8 papers). Jialun Wu collaborates with scholars based in China, Singapore and United Kingdom. Jialun Wu's co-authors include Tieliang Gong, Chen Li, Zeyu Gao, Chunbao Wang, Kai He, Xianli Zhang, Yefeng Zheng, Deyu Meng, Rui Mao and Erik Cambria and has published in prestigious journals such as Bioinformatics, Scientific Reports and IEEE Transactions on Medical Imaging.

In The Last Decade

Jialun Wu

21 papers receiving 247 citations

Peers

Jialun Wu

RNMI

CVPR

HIM

Talha Anwar Pakistan

K. Usha Rani India

Bin Ji China

Huma Naz India

Hidetaka Nambo Japan

Jurica Levatić Slovenia

Debasish Swapnesh Kumar Nayak India

Lokesh Kumar Sharma India

Md. Sagar Hossen Bangladesh

Talha Anwar Pakistan

Jialun Wu

90 ×0.5

88 ×1.4

RNMI

18 ×0.3

CVPR

10 ×0.2

11 ×0.6

HIM

Citations per year, relative to Jialun Wu Jialun Wu (= 1×) peers Talha Anwar

Countries citing papers authored by Jialun Wu

Since Specialization

Citations

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

Fields of papers citing papers by Jialun Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jialun Wu

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

All Works

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20 of 20 papers shown

Wu, Jialun, et al.. (2026). MegaSeg: Towards scalable semantic segmentation for megapixel images. Medical Image Analysis. 109. 103933–103933.

Zhang, Di, et al.. (2025). ProGIS: Prototype-Guided Interactive Segmentation for Pathological Images. IEEE Transactions on Medical Imaging. 45(3). 881–892.

Wu, Jialun, et al.. (2025). TAKECare: A temporal-hierarchical framework with knowledge fusion for personalized clinical predictive modeling. Information Fusion. 126. 103620–103620.

Xu, Guangjun, Z Lin, Yucheng Shi, et al.. (2025). Recognition of chlorophyll rings using YOLOv8. Scientific Reports. 15(1). 13934–13934.

Xu, Guangjun, Hongxia Chen, Shuyi Zhou, et al.. (2025). Deep Learning-Based Real-Time Surf Detection Model During Typhoon Events. Remote Sensing. 17(6). 1039–1039.

Wu, Jialun, et al.. (2025). Harnessing the potential of multimodal EHR data: A comprehensive survey of clinical predictive modeling for intelligent healthcare. Information Fusion. 123. 103283–103283. 2 indexed citations

Wu, Jialun, Kai He, Zeyu Gao, Xuequn Shang, & Mengling Feng. (2025). Towards Smarter Clinical Predictions: Foundation Models for Integrating Multi-Source Domain Knowledge in EHRs. IEEE Journal of Biomedical and Health Informatics. PP. 1–12. 1 indexed citations

Wu, Jialun, Xin‐Yao Yu, Kai He, Zeyu Gao, & Tieliang Gong. (2024). PROMISE: A pre-trained knowledge-infused multimodal representation learning framework for medication recommendation. Information Processing & Management. 61(4). 103758–103758. 7 indexed citations

Wu, Jialun, et al.. (2024). Research on Methods of Pavement Distress Detection using Convolutional Neural Network based on Highway Rapid Inspection Images. 423–427.

10.

Wu, Jialun, et al.. (2023). MEGACare: Knowledge-guided multi-view hypergraph predictive framework for healthcare. Information Fusion. 100. 101939–101939. 27 indexed citations

11.

Gao, Zeyu, Liebin Zhao, Xianli Zhang, et al.. (2023). Childhood Leukemia Classification via Information Bottleneck Enhanced Hierarchical Multi-Instance Learning. IEEE Transactions on Medical Imaging. 42(8). 2348–2359. 15 indexed citations

12.

Qin, Ying, Wenjie Zhang, Jialun Wu, et al.. (2023). iEmoTTS: Toward Robust Cross-Speaker Emotion Transfer and Control for Speech Synthesis Based on Disentanglement Between Prosody and Timbre. IEEE/ACM Transactions on Audio Speech and Language Processing. 31. 1693–1705. 19 indexed citations

13.

Gao, Zeyu, Chang Jia, Xianli Zhang, et al.. (2022). Unsupervised Representation Learning for Tissue Segmentation in Histopathological Images: From Global to Local Contrast. IEEE Transactions on Medical Imaging. 41(12). 3611–3623. 14 indexed citations

14.

Gao, Zeyu, Xianli Zhang, Jialun Wu, et al.. (2022). A semi-supervised multi-task learning framework for cancer classification with weak annotation in whole-slide images. Medical Image Analysis. 83. 102652–102652. 42 indexed citations

15.

He, Kai, Xiangyu Zhou, Yufei Li, et al.. (2022). Knowledge Enhanced Coreference Resolution via Gated Attention. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2287–2293. 1 indexed citations

16.

Wu, Jialun, Buyue Qian, Yang Li, et al.. (2022). Leveraging Multiple Types of Domain Knowledge for Safe and Effective Drug Recommendation. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 2169–2178. 22 indexed citations

17.

Wu, Jialun, et al.. (2021). AEFNet: Adaptive Scale Feature Based on Elastic-and-Funnel Neural Network for Healthcare Representation. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 32. 2043–2050. 1 indexed citations

18.

Wu, Jialun, et al.. (2021). W-Net: A Two-Stage Convolutional Network for Nucleus Detection in Histopathology Image. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2051–2058. 3 indexed citations

19.

He, Kai, Jialun Wu, Chong Zhang, et al.. (2019). Extracting Kinship from Obituary to Enhance Electronic Health Records for Genetic Research. 1–10. 8 indexed citations

20.

Wu, Jialun, et al.. (2008). Development of a Bispecific Monoclonal Antibody to Pesticide Carbofuran and Triazophos Using Hybrid Hybridomas. Journal of Food Science. 74(1). T1–6. 24 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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