Wei‐Chen Wu

40 papers receiving 368 citations

Peers

Wei‐Chen Wu
Comparison fields: 5 of 85
  • Computer Networks and Communications 105
  • Information Systems 93
  • Hardware and Architecture 23
  • Biophysics 19
  • Structural Biology 4
Replace Luis Blanco with:
Luis Blanco Spain
Paolo Pagano Italy
Leiming Yu China
Saurabh Sinha South Africa
Cédric Dehos France
Satoshi Takahashi Japan
Mudrik Alaydrus Indonesia
Hongyi Wang China
Wei‐Chen Wu relative to Luis Blanco Spain Luis Blanco's profile →
Citations per field
00.5×4.8×
Luis Blanco · 1×
Citations per year

Countries citing papers authored by Wei‐Chen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Wei‐Chen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wei‐Chen Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wei‐Chen Wu Line = papers co-authored together Wei‐Chen Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201178
2 201339
3 200632
4 202021
5 201518
6 201817
7 202416
8 201613
9 200713
10 200612
11 201712
12 201711
13 202011
14 202210
15 202010
16 20159
17 20197
18 20236
19 20155
20 20225

About Wei‐Chen Wu

Wei‐Chen Wu is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 386 indexed citations. Recurring topics across this work include Advanced Authentication Protocols Security (8 papers), Cryptography and Data Security (5 papers), Vehicular Ad Hoc Networks (VANETs) (5 papers), User Authentication and Security Systems (4 papers), Advanced Steganography and Watermarking Techniques (3 papers), Advanced Condensed Matter Physics (2 papers), Blockchain Technology Applications and Security (2 papers) and Face and Expression Recognition (2 papers). The work is most often cited by research in Computer Networks and Communications (105 citations), Information Systems (93 citations), Hardware and Architecture (23 citations), Biophysics (19 citations) and Structural Biology (4 citations). Wei‐Chen Wu has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Horng–Twu Liaw, Amy L. Oldenburg, Raghav K. Chhetri, Joseph B. Tracy, Krystian A. Kozek, Richard J. Spontak, Kristen E. Roskov, Kai-Le Shi, Yitian Xu and Melissa A. Troester. Their work appears in journals such as Sustainability, IEEE Transactions on Intelligent Transportation Systems, Multimedia Tools and Applications, Atmosphere and Neurocomputing.

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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