Sheng‐Lung Peng

1.2k total citations
83 papers, 414 citations indexed

About

Sheng‐Lung Peng is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Sheng‐Lung Peng has authored 83 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Networks and Communications, 21 papers in Computational Theory and Mathematics and 14 papers in Information Systems. Recurrent topics in Sheng‐Lung Peng's work include Advanced Graph Theory Research (19 papers), Complexity and Algorithms in Graphs (10 papers) and Interconnection Networks and Systems (9 papers). Sheng‐Lung Peng is often cited by papers focused on Advanced Graph Theory Research (19 papers), Complexity and Algorithms in Graphs (10 papers) and Interconnection Networks and Systems (9 papers). Sheng‐Lung Peng collaborates with scholars based in Taiwan, China and India. Sheng‐Lung Peng's co-authors include Souvik Pal, Lianfen Huang, Ton Kloks, Chen Li, Xintong Pei, Jiping Liu, Zhenjiang Zhang, Mathieu Liedloff, Maw‐Shang Chang and Chuan Yi Tang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Information Sciences.

In The Last Decade

Sheng‐Lung Peng

70 papers receiving 386 citations

Peers

Sheng‐Lung Peng
Comparison fields: 5 of 98
  • Computer Networks and Communications 160
  • Computational Theory and Mathematics 105
  • Artificial Intelligence 70
  • Information Systems 65
  • Computer Vision and Pattern Recognition 61
Replace Zaixin Lu with:
Zaixin Lu United States
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Xiaoguang Han China
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Fuzhong Nian China
Matej Balog United Kingdom
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Zaixin Lu United States View profile →
Citations per field, relative to Sheng‐Lung Peng
Sheng‐Lung Peng · 1×
Citations per year, relative to Sheng‐Lung Peng
Sheng‐Lung Peng · 1×

Countries citing papers authored by Sheng‐Lung Peng

Since Specialization
Citations

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

Fields of papers citing papers by Sheng‐Lung Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sheng‐Lung Peng. 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 Sheng‐Lung Peng. The network helps show where Sheng‐Lung Peng may publish in the future.

Co-authorship network of co-authors of Sheng‐Lung Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng‐Lung Peng. A scholar is included among the top collaborators of Sheng‐Lung Peng 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 Sheng‐Lung Peng. Sheng‐Lung Peng 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 1
3 3
4 1
5 1
6 1
7 39
8 0
9 5
10 4
11 1
12 1
13 4
14 3
15 7
16 4
17 30
18 8
19 4
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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