Lin Wei

843 citations
56 papers · 614 · 1 hit paper · h-index 10

Impact in

Papers in

Lin Wei

52 papers receiving 586 citations

Lin Wei's Hit Papers

Detecting fake news by exploring the consistency of multimodal data 2021 · 194 citations
1940+1+3Years since publication50100150

Peers

Lin Wei
Comparison fields: 5 of 92
  • Signal Processing 113
  • Computer Networks and Communications 212
  • Information Systems 186
  • Artificial Intelligence 242
  • Sociology and Political Science 214
Replace Simone Raponi with:
Simone Raponi Qatar
C. Valliyammai India
Paweł Ksieniewicz Poland
O‐Joun Lee South Korea
Min Peng China
Abhishek Mallik India
Feyza Altunbey Ozbay Türkiye
Masoud Makrehchi Canada
Yang Xiang China
Lin Wei relative to Simone Raponi Qatar Simone Raponi's profile →
Citations per field
00.5×2×3×
Simone Raponi · 1×
Citations per year

Countries citing papers authored by Lin Wei

Since Specialization
Citations

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

Fields of papers citing papers by Lin Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Detecting fake news by exploring the consistency of multimodal data
Hit paper breakdown →
2021194
2 201086
3 202250
4 200839
5 200525
6 201720
7 202118
8 201713
9 202112
10 201012
11 20069
12 20199
13 20049
14 20209
15 20059
16 20098
17 20058
18 20196
19 20235
20 20055

About Lin Wei

Lin Wei is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 56 papers that have together received 614 indexed citations. Recurring topics across this work include Caching and Content Delivery (11 papers), Peer-to-Peer Network Technologies (8 papers), Sentiment Analysis and Opinion Mining (7 papers), Web Data Mining and Analysis (6 papers), Network Security and Intrusion Detection (5 papers), Misinformation and Its Impacts (4 papers), Topic Modeling (4 papers) and Cognitive Radio Networks and Spectrum Sensing (4 papers). The work is most often cited by research in Signal Processing (113 citations), Computer Networks and Communications (212 citations), Information Systems (186 citations), Artificial Intelligence (242 citations) and Sociology and Political Science (214 citations). Lin Wei has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Lei Shi, Qinyu Zhang, Yabo Wang, Junxiao Xue, Yichen Tian, Yafei Li, Yujie Tang, Zhimin Gu, Yufei Gao and Bei Yang. Their work appears in journals such as Computers, materials & continua/Computers, materials & continua (Print), Expert Systems with Applications, Sensors, PeerJ Computer Science and Information Processing & Management.

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.

Explore authors with similar magnitude of impact