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, Joni Dambre, Pieter-Jan Kindermans and Lionel Pigou 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 Networks for Multimodal Gesture Segme... 2016 2026 2019 2022 2016 100 200 300

Peers

Di Wu
Comparison fields: 5 of 114
  • Artificial Intelligence 761
  • Computer Vision and Pattern Recognition 741
  • Human-Computer Interaction 367
  • Biomedical Engineering 317
  • Computer Networks and Communications 243
Replace Shing Chiang Tan with:
Shing Chiang Tan Malaysia
Krishan Kumar India
Octavian Udrea United States
Ankit Chaudhary India
Mourad Zaied Tunisia
Giuseppe Serra Italy
Med Salim Bouhlel Tunisia
Mohammad A. M. Abushariah Jordan
Marco La Cascia Italy
Kourosh Kiani Iran
Shing Chiang Tan Malaysia View profile →
Citations per field, relative to Di Wu
Di Wu · 1×
Citations per year, relative to Di Wu
Di Wu · 1×

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
# Work Indexed citations
1 0
2 0
3 0
4 0
5 3
6 2
7 2
8 0
9 12
10 2
11 4
12 2
13 1
14 0
15 2
16 42
17 29
18 3
19 1
20
INVESTIGATION ON THE PMMA/GRAPHITE PLATELET NANOCOMPOSITES AND THEIR CONDUCTION PROPERTIES
1

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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