Wei Wei

13.0k total citations · 5 hit papers
460 papers, 8.3k citations indexed

About

Wei Wei is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Wei Wei has authored 460 papers receiving a total of 8.3k indexed citations (citations by other indexed papers that have themselves been cited), including 127 papers in Artificial Intelligence, 103 papers in Computer Networks and Communications and 99 papers in Computer Vision and Pattern Recognition. Recurrent topics in Wei Wei's work include Energy Efficient Wireless Sensor Networks (41 papers), IoT and Edge/Fog Computing (21 papers) and Topic Modeling (18 papers). Wei Wei is often cited by papers focused on Energy Efficient Wireless Sensor Networks (41 papers), IoT and Edge/Fog Computing (21 papers) and Topic Modeling (18 papers). Wei Wei collaborates with scholars based in China, United States and Poland. Wei Wei's co-authors include Marcin Woźniak, Houbing Song, Jiye Liang, Wei Wang, Keping Yu, Zhihan Lv, Robertas Damaševičius, Bin Zhou, Yong Qi and Qiao Ke and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Wei Wei

400 papers receiving 7.9k citations

Hit Papers

A Clustering-Based Coverage Path Planning Method for Auto... 2021 2026 2022 2024 2021 2024 2021 2023 2023 50 100 150 200

Peers

Wei Wei
Comparison fields: 5 of 198
  • Artificial Intelligence 2.4k
  • Computer Networks and Communications 2.1k
  • Computer Vision and Pattern Recognition 1.7k
  • Electrical and Electronic Engineering 1.5k
  • Information Systems 1.3k
Replace Mohamed Elhoseny with:
Mohamed Elhoseny Egypt
Praveen Kumar Reddy Maddikunta India
Václav Snåšel Czechia
Mohamed Abdel‐Basset Egypt
Gwanggil Jeon South Korea
Nebojša Bačanin Serbia
Zhong Ming China
Marcin Woźniak Poland
Zhihua Cui China
Mohammed A. A. Al‐qaness China
Mohamed Elhoseny Egypt View profile →
Citations per field, relative to Wei Wei
Wei Wei · 1×
Citations per year, relative to Wei Wei
Wei Wei · 1×

Countries citing papers authored by Wei Wei

Since Specialization
Citations

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

Fields of papers citing papers by Wei Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Wei. A scholar is included among the top collaborators of Wei Wei based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wei Wei. Wei Wei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 1
5 0
6 2
7 4
8 1
9 18
10 4
11 0
12 8
13 0
14 5
15 0
16 7
17 16
18 27
19 29
20 66

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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