Jian Wu

5.3k total citations · 1 hit paper
145 papers, 3.1k citations indexed

About

Jian Wu is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Jian Wu has authored 145 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Information Systems, 51 papers in Artificial Intelligence and 37 papers in Computer Networks and Communications. Recurrent topics in Jian Wu's work include Service-Oriented Architecture and Web Services (47 papers), Caching and Content Delivery (21 papers) and Web Data Mining and Analysis (17 papers). Jian Wu is often cited by papers focused on Service-Oriented Architecture and Web Services (47 papers), Caching and Content Delivery (21 papers) and Web Data Mining and Analysis (17 papers). Jian Wu collaborates with scholars based in China, United States and Hong Kong. Jian Wu's co-authors include Zhaohui Wu, Haochao Ying, Liang Chen, Danny Z. Chen, Jintai Chen, Zibin Zheng, Ruiwei Feng, Shuiguang Deng, Guandong Xu and Philip S. Yu and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Jian Wu

136 papers receiving 3.0k citations

Hit Papers

align trajectories

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.

Improving automatic source code summarization via deep reinforcement learning

2018 249 citations Haochao Ying, Jian Wu et al. profile →

Peers

Jian Wu

IS

AI

RNMI

CVPR

CNC

Farman Ali South Korea

Jianqiang Li China

Sami Azam Australia

Munir Ahmad Pakistan

Sweta Bhattacharya India

Muhammad Fazal Ijaz South Korea

Romany F. Mansour Egypt

Mamoona Humayun Saudi Arabia

Yin Yang China

Dilbag Singh India

Farman Ali South Korea

Jian Wu

618 ×0.6

IS

1.4k ×1.5

AI

444 ×0.8

RNMI

450 ×0.8

CVPR

673 ×1.3

CNC

Citations per year, relative to Jian Wu Jian Wu (= 1×) peers Farman Ali

Countries citing papers authored by Jian Wu

Since Specialization

Citations

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

Fields of papers citing papers by Jian Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jian Wu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Tao, Yu, Jingxing Zhou, Danli Shi, et al.. (2025). A Systematic Review of Advances in AI-Assisted Analysis of Fundus Fluorescein Angiography (FFA) Images: From Detection to Report Generation. Ophthalmology and Therapy. 14(4). 599–619. 6 indexed citations

2.

Zhu, Feng, Lei Bai, Rui Zhao, et al.. (2025). Hulk: A Universal Knowledge Translator for Human-Centric Tasks. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(7). 5672–5689.

3.

Li, Yingyu, Xiangji Pan, Zhaorong Yang, et al.. (2025). Generative artificial intelligence for fundus fluorescein angiography interpretation and human expert evaluation. npj Digital Medicine. 8(1). 396–396.

4.

Xu, Liuchang, et al.. (2024). A 3D-2DCNN-CA approach for enhanced classification of hickory tree species using UAV-based hyperspectral imaging. Microchemical Journal. 199. 109981–109981. 10 indexed citations

5.

Wang, Jinxian, et al.. (2024). A study on the correlation between physical fitness index and executive function in Chinese adolescents. Applied Neuropsychology Child. 15(2). 138–147. 1 indexed citations

6.

Chen, Jintai, et al.. (2024). Multi-rater Prompting for Ambiguous Medical Image Segmentation. 2519–2525.

7.

Xu, Zhe, Haochao Ying, Tingting Chen, et al.. (2023). A Transformer-Based Knowledge Distillation Network for Cortical Cataract Grading. IEEE Transactions on Medical Imaging. 43(3). 1089–1101. 5 indexed citations

8.

Chen, Jintai, Cheng Yi, Danny Z. Chen, et al.. (2023). Polygonal Approximation Learning for Convex Object Segmentation in Biomedical Images With Bounding Box Supervision. IEEE Journal of Biomedical and Health Informatics. 28(8). 4522–4533. 4 indexed citations

9.

Gao, Zhiyuan, Kai Jin, Yan Yan, et al.. (2022). End-to-end diabetic retinopathy grading based on fundus fluorescein angiography images using deep learning. Graefe s Archive for Clinical and Experimental Ophthalmology. 260(5). 1663–1673. 26 indexed citations

10.

Chi, Ying, Xian‐Sheng Hua, Jian Wu, et al.. (2022). TSNAdb v2.0: The Updated Version of Tumor-Specific Neoantigen Database. Genomics Proteomics & Bioinformatics. 21(2). 259–266. 14 indexed citations

11.

Chen, Jintai, et al.. (2022). Identifying Electrocardiogram Abnormalities Using a Handcrafted-Rule-Enhanced Neural Network. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(4). 2434–2444. 9 indexed citations

12.

Feng, Hailin, Zhen Liu, Jian Wu, et al.. (2022). Nexus between Government spending’s and Green Economic performance: Role of green finance and structure effect. Environmental Technology & Innovation. 27. 102461–102461. 70 indexed citations

13.

Chen, Menglu, Kai Jin, Yufeng Xu, et al.. (2021). Automatic detection of leakage point in central serous chorioretinopathy of fundus fluorescein angiography based on time sequence deep learning. Graefe s Archive for Clinical and Experimental Ophthalmology. 259(8). 2401–2411. 22 indexed citations

14.

Chen, Jintai, et al.. (2021). A Receptor Skeleton for Capsule Neural Networks. International Conference on Machine Learning. 1781–1790. 1 indexed citations

15.

Pan, Xiangji, Kai Jin, Jing Cao, et al.. (2020). Multi-label classification of retinal lesions in diabetic retinopathy for automatic analysis of fundus fluorescein angiography based on deep learning. Graefe s Archive for Clinical and Experimental Ophthalmology. 258(4). 779–785. 55 indexed citations

16.

Chen, Jintai, Biwen Lei, Qingyu Song, et al.. (2020). A Hierarchical Graph Network for 3D Object Detection on Point Clouds. 389–398. 121 indexed citations

17.

Chen, Tingting, Xinjun Ma, Wenzhe Wang, et al.. (2019). Multi-Modal Fusion Learning For Cervical Dysplasia Diagnosis. 1505–1509. 21 indexed citations

18.

Kuang, Li, Shuiguang Deng, Jian Wu, & Ying Li. (2009). Towards Adaptation of Service Interface Semantics. 279–286. 7 indexed citations

19.

Deng, Shuiguang, et al.. (2008). Service Behavioral Adaptation Based on Dependency Graph. 1276–1281. 3 indexed citations

20.

Kuang, Li, Jian Wu, Ying Li, Shuiguang Deng, & Zhaohui Wu. (2007). Exploring Dependency between Interfaces in Service Matchmaking. 506–513. 6 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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