Wen-Ling Wang

510 total citations
26 papers, 339 citations indexed

About

Wen-Ling Wang is a scholar working on Nuclear and High Energy Physics, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Wen-Ling Wang has authored 26 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Nuclear and High Energy Physics, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Artificial Intelligence. Recurrent topics in Wen-Ling Wang's work include Quantum Chromodynamics and Particle Interactions (12 papers), Particle physics theoretical and experimental studies (9 papers) and High-Energy Particle Collisions Research (6 papers). Wen-Ling Wang is often cited by papers focused on Quantum Chromodynamics and Particle Interactions (12 papers), Particle physics theoretical and experimental studies (9 papers) and High-Energy Particle Collisions Research (6 papers). Wen-Ling Wang collaborates with scholars based in China, Taiwan and United States. Wen-Ling Wang's co-authors include Fei Huang, ZY Zhang, Jiangtao Qi, Peiyu Liu, Guangyuan Zhang, Zhenfang Zhu, Lin Li, Yubing Dong, Dian-Yong Chen and Yuan-Ben Dai and has published in prestigious journals such as Chemical Engineering Journal, Sensors and Neurocomputing.

In The Last Decade

Wen-Ling Wang

24 papers receiving 331 citations

Peers

Wen-Ling Wang
Comparison fields: 5 of 50
  • Nuclear and High Energy Physics 193
  • Artificial Intelligence 87
  • Computer Vision and Pattern Recognition 34
  • Atomic and Molecular Physics, and Optics 23
  • Spectroscopy 16
Replace Yixuan Li with:
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Ludovic Quintard France
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A. L. Read Norway
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Yixuan Li United States View profile →
Citations per field, relative to Wen-Ling Wang
Wen-Ling Wang · 1×
Citations per year, relative to Wen-Ling Wang
Wen-Ling Wang · 1×

Countries citing papers authored by Wen-Ling Wang

Since Specialization
Citations

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

Fields of papers citing papers by Wen-Ling Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wen-Ling Wang. 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 Wen-Ling Wang. The network helps show where Wen-Ling Wang may publish in the future.

Co-authorship network of co-authors of Wen-Ling Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Wen-Ling Wang. A scholar is included among the top collaborators of Wen-Ling Wang 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 Wen-Ling Wang. Wen-Ling Wang 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 1
2 21
3 4
4 0
5 6
6 0
7 2
8 57
9 12
10 29
11 1
12 11
13 20
14 18
15 33
16 7
17 4
18 7
19 13
20 8

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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