Wei Chen

4.8k citations
287 papers · 3.3k · h-index 30

Impact in

Papers in

Wei Chen

252 papers receiving 3.1k citations

Peers

Wei Chen
Comparison fields: 5 of 163
  • Computer Networks and Communications 743
  • Computer Vision and Pattern Recognition 652
  • Media Technology 161
  • Information Systems 399
  • Artificial Intelligence 516
Replace Yang Gao with:
Yang Gao China
Yuan Zhuang China
Bin Dai China
Lu Wang China
Gang Wang China
Xu Cheng China
Bogdan M. Wilamowski United States
Bernhard Sick Germany
Sergio Saponara Italy
Wei Chen relative to Yang Gao China Yang Gao's profile →
Citations per field
00.5×2×3.3×
Yang Gao · 1×
Citations per year

Countries citing papers authored by Wei Chen

Since Specialization
Citations

This map shows the geographic impact of Wei Chen'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 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 more than expected).

Fields of papers citing papers by Wei Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wei Chen, 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 Line = papers co-authored together Wei Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 287 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020134
2 2020113
3 201986
4 201285
5 201982
6 201880
7 202073
8 200171
9 200664
10
Detecting click fraud in online advertising: a data mining approach
201458
11 202054
12 201650
13 202047
14 202343
15 202442
16 202241
17 202139
18 202139
19 201838
20 201736

About Wei Chen

Wei Chen is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence, Media Technology and Electrical and Electronic Engineering, having authored 287 papers that have together received 3.3k indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (21 papers), IoT and Edge/Fog Computing (20 papers), Security in Wireless Sensor Networks (20 papers), Video Surveillance and Tracking Methods (18 papers), Advanced Image Processing Techniques (17 papers), Energy Harvesting in Wireless Networks (17 papers), Image Enhancement Techniques (13 papers) and Wireless Power Transfer Systems (12 papers). The work is most often cited by research in Computer Networks and Communications (743 citations), Computer Vision and Pattern Recognition (652 citations), Media Technology (161 citations), Information Systems (399 citations) and Artificial Intelligence (516 citations). Wei Chen has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Weidong Fang, Wuxiong Zhang, Chaogang Tang, Xianglin Wei, Zijian Tian, Jian Jiang, Fei Richard Yu, Xiaohong Zhu, Fan Zhang and Dit‐Yan Yeung. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Access, IEEE Transactions on Emerging Topics in Computational Intelligence, EURASIP Journal on Wireless Communications and Networking and Sensors.

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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