Liangtian Wan

4.3k citations
125 papers · 3.2k indexed · h-index 32
Topics
Direction-of-Arrival Estimation Techniques (52 papers)Speech and Audio Processing (27 papers)Radar Systems and Signal Processing (26 papers)

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
Replace Yong Liang Guan with:
Yong Liang Guan Singapore
Zhen Yang China
Xi Liu China
Xiqi Gao China
Gang Wang China
Bin Yu China
Hsiao‐Chun Wu United States
Hua Yu China
Luis Castedo Spain
Liangtian Wan relative to Yong Liang Guan Singapore Yong Liang Guan's profile →
Citations per field
00.5×3.0×
Yong Liang Guan · 1×
Citations per year

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
#WorkIndexed 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

About Liangtian Wan

Liangtian Wan is a scholar working on Signal Processing, Aerospace Engineering and Statistical and Nonlinear Physics, having authored 125 papers that have together received 3.2k indexed citations. Recurring topics across this work include Direction-of-Arrival Estimation Techniques (52 papers), Speech and Audio Processing (27 papers) and Radar Systems and Signal Processing (26 papers). The work is most often cited by research in Signal Processing (1.1k citations), Computational Mathematics (28 citations) and Aerospace Engineering (1.1k citations). Liangtian Wan has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Xianpeng Wang, Guangjie Han, Mengxing Huang, Lu Sun, Feng Xia, Xiangjie Kong, Naixing Feng, Lei Shu, Tong Zhu and Huafei Wang. Their work appears in journals such as Journal of Computational Physics, IEEE Transactions on Industrial Electronics and IEEE Access.

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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