Di Wu

2.9k total citations · 1 hit paper
103 papers, 1.6k citations indexed

About

Di Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Di Wu has authored 103 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Artificial Intelligence, 29 papers in Computer Vision and Pattern Recognition and 18 papers in Computer Networks and Communications. Recurrent topics in Di Wu's work include Adversarial Robustness in Machine Learning (13 papers), Human Pose and Action Recognition (13 papers) and Privacy-Preserving Technologies in Data (13 papers). Di Wu is often cited by papers focused on Adversarial Robustness in Machine Learning (13 papers), Human Pose and Action Recognition (13 papers) and Privacy-Preserving Technologies in Data (13 papers). Di Wu collaborates with scholars based in China, Australia and United Kingdom. Di Wu's co-authors include Ling Shao, Shui Yu, Junjun Chen, Michael Blumenstein, Nabin Sharma, Jean‐Marc Odobez, Nam Le, Lionel Pigou, Joni Dambre and Pieter-Jan Kindermans and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Automatica.

In The Last Decade

Di Wu

80 papers receiving 1.6k citations

Hit Papers

Deep Dynamic Neural Netwo... 2016 2026 2019 2022 2016 100 200 300
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. Deep Dynamic Neural Networks for Multimodal Gesture Segmentation and Recognition
    2016 331 citations Di Wu 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
Di Wu China 18 761 741 367 317 243 103 1.6k
Shing Chiang Tan Malaysia 21 448 0.6× 290 0.4× 185 0.5× 212 0.7× 146 0.6× 104 1.2k
Krishan Kumar India 25 431 0.6× 914 1.2× 156 0.4× 111 0.4× 309 1.3× 112 2.1k
Octavian Udrea United States 16 1.0k 1.4× 1.0k 1.4× 180 0.5× 269 0.8× 413 1.7× 37 1.8k
Ankit Chaudhary India 16 205 0.3× 416 0.6× 343 0.9× 137 0.4× 74 0.3× 62 1.1k
Mourad Zaied Tunisia 24 441 0.6× 996 1.3× 139 0.4× 131 0.4× 199 0.8× 135 1.6k
Giuseppe Serra Italy 24 355 0.5× 2.0k 2.6× 184 0.5× 77 0.2× 125 0.5× 95 2.4k
Med Salim Bouhlel Tunisia 16 262 0.3× 577 0.8× 181 0.5× 110 0.3× 58 0.2× 178 1.0k
Mohammad A. M. Abushariah Jordan 16 942 1.2× 270 0.4× 115 0.3× 100 0.3× 55 0.2× 45 1.4k
Marco La Cascia Italy 20 305 0.4× 1.7k 2.2× 214 0.6× 166 0.5× 54 0.2× 76 2.0k
Kourosh Kiani Iran 16 212 0.3× 570 0.8× 661 1.8× 376 1.2× 79 0.3× 64 1.3k

Countries citing papers authored by Di Wu

Since Specialization
Citations

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

Fields of papers citing papers by Di Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Di Wu. A scholar is included among the top collaborators of Di 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 Di Wu. Di Wu 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.
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Cao, Sicong, Xiaobing Sun, Ratnadira Widyasari, et al.. (2025). A Systematic Literature Review on Explainability for ML/DL-based Software Engineering. ACM Computing Surveys. 58(4). 1–34.
3.
Zhang, Jiale, et al.. (2025). GResMark: A swin transformer-based watermarking framework with geometric attack resilience. Expert Systems with Applications. 304. 130807–130807.
4.
Zhang, Jiale, et al.. (2025). EPAD: Ethereum phishing scam detection via graph contrastive learning. Expert Systems with Applications. 288. 128227–128227. 3 indexed citations
5.
Yun, Xialun, et al.. (2025). Machine Unlearning for Source-Free Unsupervised Partial-Domain Adaptation in Remote Sensing. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–12.
6.
Wu, Di, et al.. (2025). Lightweight Classroom Student Action Recognition Method Based on Spatiotemporal Multimodal Feature Fusion. Computers, materials & continua/Computers, materials & continua (Print). 83(1). 1101–1116.
7.
Wu, Di, et al.. (2024). GraphAD: Interaction Scene Graph for End-to-end Autonomous Driving. 2422–2430. 2 indexed citations
8.
Wu, Di, et al.. (2024). ALISA: Accelerating Large Language Model Inference via Sparsity-Aware KV Caching. 1005–1017. 12 indexed citations
9.
Wu, Di, et al.. (2024). Pricing and financing strategies of dual channel closed-loop supply chain considering capital-constrained manufacturer. European J of Industrial Engineering. 18(2). 275–301. 2 indexed citations
10.
Wu, Di, et al.. (2024). Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation. 9390–9406. 2 indexed citations
11.
Sun, Xiuwen, et al.. (2023). Efficient regular expression matching over hybrid dictionary-based compressed data. Journal of Network and Computer Applications. 215. 103635–103635. 2 indexed citations
12.
Wu, Di, et al.. (2023). Communication Load Balancing via Efficient Inverse Reinforcement Learning. 472–478. 1 indexed citations
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14.
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Sun, Jiankai, et al.. (2023). DPAUC: Differentially Private AUC Computation in Federated Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 37(12). 15170–15178. 3 indexed citations
16.
Zhang, Jiale, et al.. (2022). VPFL: A verifiable privacy-preserving federated learning scheme for edge computing systems. Digital Communications and Networks. 9(4). 981–989. 42 indexed citations
17.
Chen, Junjun, Di Wu, Ying Zhao, et al.. (2020). Fooling intrusion detection systems using adversarially autoencoder. Digital Communications and Networks. 7(3). 453–460. 29 indexed citations
18.
19.
Wang, Huiqiang, Jianzhong Wang, Di Wu, & Fengjun Wang. (2005). Current global almond trade and its consumption patterns analysis. Forestry Studies in China. 7(4). 35–40. 1 indexed citations
20.
Wu, Can, et al.. (2003). INVESTIGATION ON THE PMMA/GRAPHITE PLATELET NANOCOMPOSITES AND THEIR CONDUCTION PROPERTIES. 742–745. 1 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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