Lingfeng Wu

453 total citations · 1 hit paper
13 papers, 228 citations indexed

About

Lingfeng Wu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Lingfeng Wu has authored 13 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 4 papers in Media Technology and 3 papers in Artificial Intelligence. Recurrent topics in Lingfeng Wu's work include Image Enhancement Techniques (3 papers), Advanced Image Fusion Techniques (2 papers) and Speech Recognition and Synthesis (2 papers). Lingfeng Wu is often cited by papers focused on Image Enhancement Techniques (3 papers), Advanced Image Fusion Techniques (2 papers) and Speech Recognition and Synthesis (2 papers). Lingfeng Wu collaborates with scholars based in China and United States. Lingfeng Wu's co-authors include Akhil Garg, Liang Gao, Huanwei Xu, Wei Li, Wayne Xiong, Jun Zhang, Andreas Stolcke, Na Li, Yuan Chang and Na Li and has published in prestigious journals such as PLoS ONE, IEEE Access and Energy.

In The Last Decade

Lingfeng Wu

10 papers receiving 222 citations

Hit Papers

An improved CNN-LSTM model-based state-of-health estimati... 2023 2026 2024 2025 2023 50 100 150 200

Peers

Lingfeng Wu
Comparison fields: 5 of 34
  • Automotive Engineering 187
  • Electrical and Electronic Engineering 139
  • Control and Systems Engineering 67
  • Safety, Risk, Reliability and Quality 35
  • Artificial Intelligence 13
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Citations per field, relative to Lingfeng Wu
Lingfeng Wu · 1×
Citations per year, relative to Lingfeng Wu
Lingfeng Wu · 1×

Countries citing papers authored by Lingfeng Wu

Since Specialization
Citations

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

Fields of papers citing papers by Lingfeng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingfeng Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Lingfeng Wu. A scholar is included among the top collaborators of Lingfeng Wu 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 Lingfeng Wu. Lingfeng Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
# Work Indexed citations
1 0
2 1
3 2
4
An improved CNN-LSTM model-based state-of-health estimation approach for lithium-ion batteries breakdown →
203
5 1
6 1
7 2
8 0
9 4
10 1
11 3
12 9
13
The Microsoft 2017 Conversational Speech Recognition System [Technical Report]
1

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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