Liangtian Wan

4.3k total citations
125 papers, 3.2k citations indexed

About

Liangtian Wan is a scholar working on Signal Processing, Aerospace Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Liangtian Wan has authored 125 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Signal Processing, 54 papers in Aerospace Engineering and 42 papers in Electrical and Electronic Engineering. Recurrent topics in Liangtian Wan's work include Direction-of-Arrival Estimation Techniques (52 papers), Speech and Audio Processing (27 papers) and Radar Systems and Signal Processing (26 papers). Liangtian Wan is often cited by papers focused on Direction-of-Arrival Estimation Techniques (52 papers), Speech and Audio Processing (27 papers) and Radar Systems and Signal Processing (26 papers). Liangtian Wan collaborates with scholars based in China, Australia and United States. Liangtian Wan's co-authors include Xianpeng Wang, Guangjie Han, Mengxing Huang, Lu Sun, Feng Xia, Xiangjie Kong, Naixing Feng, Lei Shu, Tong Zhu and Huafei Wang and has published in prestigious journals such as Journal of Computational Physics, IEEE Transactions on Industrial Electronics and IEEE Access.

In The Last Decade

Liangtian Wan

111 papers receiving 3.2k citations

Peers

Liangtian Wan
Comparison fields: 5 of 136
  • Electrical and Electronic Engineering 1.2k
  • Signal Processing 1.1k
  • Aerospace Engineering 1.1k
  • Computer Networks and Communications 580
  • Artificial Intelligence 402
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Gang Wang China
Jie Yang China
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Hsiao‐Chun Wu United States View profile →
Citations per field, relative to Liangtian Wan
Liangtian Wan · 1×
Citations per year, relative to Liangtian Wan
Liangtian Wan · 1×

Countries citing papers authored by Liangtian Wan

Since Specialization
Citations

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

Fields of papers citing papers by Liangtian Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liangtian Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Liangtian Wan. A scholar is included among the top collaborators of Liangtian Wan 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 Liangtian Wan. Liangtian Wan 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 0
4 14
5 0
6 5
7 2
8 3
9 0
10 16
11 79
12 5
13 3
14 70
15 73
16
Not Every Couple Is a Pair: A Supervised Approach for Lifetime Collaborator Identification
2
17 113
18 52
19 141
20 7

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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