Wenmin Lin

1.2k citations
34 papers · 857 indexed · 1 hit paper · h-index 14

Wenmin Lin

28 papers receiving 829 citations

Hit Papers

A Correlation Graph based Approach for Personalized and C...13320222026202320244080120

Peers

Wenmin Lin
Comparison fields: 5 of 90
  • Computer Networks and Communications 448
  • Information Systems 403
  • Artificial Intelligence 252
  • Signal Processing 65
  • Health Information Management 25
Replace Nawab Muhammad Faseeh Qureshi with:
Nawab Muhammad Faseeh Qureshi South Korea
Salman Salloum China
Martín Serrano Ireland
Geetanjali Rathee India
Okba Kazar Algeria
Fang−Yie Leu Taiwan
Pushpita Chatterjee United States
B. D. Deebak India
Xiaoding Wang China
Håkan Grahn Sweden
Wenmin Lin relative to Nawab Muhammad Faseeh Qureshi South Korea Nawab Muhammad Faseeh Qureshi's profile →
Citations per field
00.5×
Nawab Muhammad Faseeh Qureshi · 1×
Citations per year

Countries citing papers authored by Wenmin Lin

Since Specialization
Citations

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

Fields of papers citing papers by Wenmin Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20245
4 20246
5 20241
6 20230
7 202335
8 202212
9 20211
10 202030
11 20204
12 2019101
13 201999
14 201934
15 201843
16 201451
17 201328
18 20130
19 20118
20 201015

About Wenmin Lin

Wenmin Lin is a scholar working on Computational Mathematics, Information Systems and Computer Networks and Communications, having authored 34 papers that have together received 857 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (8 papers), Service-Oriented Architecture and Web Services (8 papers), Blockchain Technology Applications and Security (8 papers), Caching and Content Delivery (6 papers), Recommender Systems and Techniques (6 papers), Cloud Computing and Resource Management (4 papers), Misinformation and Its Impacts (2 papers) and Distributed systems and fault tolerance (2 papers). The work is most often cited by research in Computer Networks and Communications (448 citations), Information Systems (403 citations) and Artificial Intelligence (252 citations). Wenmin Lin has collaborated with scholars based in China, Australia and Iran. Frequent co-authors include Wanchun Dou, Xiaolong Xu, Lianyong Qi, Shaohua Wan, Jinjun Chen, Xuyun Zhang, Mohammad R. Khosravi, Yuan Xue, Gwanggil Jeon and Lianyong Qi. Their work appears in journals such as Tsinghua Science & Technology, Wireless Networks, Future Generation Computer Systems, ACM Transactions on Sensor Networks and IEEE Transactions on Knowledge and Data Engineering.

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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