Wei Long

696 citations
61 papers · 491 · h-index 13

Impact in

Papers in

Wei Long

54 papers receiving 479 citations

Peers

Wei Long
Comparison fields: 5 of 83
  • Media Technology 47
  • Strategy and Management 82
  • Industrial and Manufacturing Engineering 52
  • Computer Vision and Pattern Recognition 83
  • Statistics, Probability and Uncertainty 20
Replace Ajit Kumar Sahoo with:
Ajit Kumar Sahoo India
Jinfei Shi China
Gang Niu China
Sen Deng China
Zhongdai Wu China
Daqing Wu China
Cinzia Giannetti United Kingdom
Dian Liu China
Jiming Li China
Wei Long relative to Ajit Kumar Sahoo India Ajit Kumar Sahoo's profile →
Citations per field
00.5×2.9×
Ajit Kumar Sahoo · 1×
Citations per year

Countries citing papers authored by Wei Long

Since Specialization
Citations

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

Fields of papers citing papers by Wei Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202144
2 201737
3 201937
4 202127
5 202126
6 202022
7 200820
8 202019
9 201918
10 201817
11 202115
12 201515
13 201713
14 202211
15 202110
16 20209
17 20189
18 20219
19 20209
20 20228

About Wei Long

Wei Long is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Mechanics of Materials, having authored 61 papers that have together received 491 indexed citations. Recurring topics across this work include Image Enhancement Techniques (8 papers), Cooperative Communication and Network Coding (8 papers), Advanced MIMO Systems Optimization (7 papers), Aerodynamics and Acoustics in Jet Flows (6 papers), Advanced Image Processing Techniques (5 papers), Supply Chain Resilience and Risk Management (5 papers), Advanced Vision and Imaging (5 papers) and Metaheuristic Optimization Algorithms Research (5 papers). The work is most often cited by research in Media Technology (47 citations), Strategy and Management (82 citations), Industrial and Manufacturing Engineering (52 citations), Computer Vision and Pattern Recognition (83 citations) and Statistics, Probability and Uncertainty (20 citations). Wei Long has collaborated with scholars based in China, Singapore and United Kingdom. Frequent co-authors include Xiaoqiu Shi, Yanyan Li, Yanyan Li, Wei Ding, Yanyan Li, Yanyan Li, Hui Gao, Tiejun Lv, Debin Yang and Jun Yi. Their work appears in journals such as Multimedia Tools and Applications, IEEE Access, Soft Computing, Neural Computing and Applications and Computers & Industrial 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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