Wei‐Chen Wu

402 citations
38 papers · 263 · h-index 11

Impact in

Papers in

Wei‐Chen Wu

35 papers receiving 247 citations

Peers

Wei‐Chen Wu
Comparison fields: 5 of 69
  • Computer Networks and Communications 105
  • Information Systems 94
  • Hardware and Architecture 22
  • Structural Biology 4
  • Artificial Intelligence 73
Replace Jian Xiong with:
Jian Xiong China
Mohamed Ahmed Canada
Sutanay Choudhury United States
Allen Roginsky United States
K. Erciyes Türkiye
Ramakrishnan Durairajan United States
Stephanie Wang United States
Yong Sun China
Shuang Zhao China
Wei‐Chen Wu relative to Jian Xiong China Jian Xiong's profile →
Citations per field
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Jian Xiong · 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 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200632
2 202020
3 201518
4 201817
5 202415
6 200713
7 201613
8 200612
9 201712
10 201711
11 202011
12 202010
13 20229
14 20159
15 20197
16 20236
17 20225
18 20155
19 20164
20 20093

About Wei‐Chen Wu

Wei‐Chen Wu is a scholar working on Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 38 papers that have together received 263 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), Blockchain Technology Applications and Security (3 papers), Digital Rights Management 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 (94 citations), Hardware and Architecture (22 citations), Structural Biology (4 citations) and Artificial Intelligence (73 citations). Wei‐Chen Wu has collaborated with scholars based in Taiwan, China and Japan. Frequent co-authors include Horng–Twu Liaw, Wei Jiang, Yitian Xu, Guoqi Xie, Renfa Li, Juing‐Huei Su, Chun-Kai Wang, Hung-Ming Chen, Laurence T. Yang and Yifan Wang. Their work appears in journals such as Atmosphere, IEEE Transactions on Intelligent Transportation Systems, Multimedia Tools and Applications, Sustainability and Water Resources Research.

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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