Letian Wang

471 total citations
19 papers, 347 citations indexed

About

Letian Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Letian Wang has authored 19 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 2 papers in Molecular Biology. Recurrent topics in Letian Wang's work include Video Surveillance and Tracking Methods (4 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Image Retrieval and Classification Techniques (3 papers). Letian Wang is often cited by papers focused on Video Surveillance and Tracking Methods (4 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Image Retrieval and Classification Techniques (3 papers). Letian Wang collaborates with scholars based in China, United States and Hong Kong. Letian Wang's co-authors include Jie Sun, Meng Zhou, Hongbo Shi, Shu-Lin Liu, Lin Liu, Zhenzhen Wang, Dapeng Hao, Changjian Zhang, Weiwei He and Li Fang and has published in prestigious journals such as PLoS ONE, IEEE Access and Information Sciences.

In The Last Decade

Letian Wang

15 papers receiving 339 citations

Peers

Letian Wang
Comparison fields: 5 of 42
  • Cancer Research 235
  • Molecular Biology 197
  • Computer Vision and Pattern Recognition 48
  • Artificial Intelligence 43
  • Industrial and Manufacturing Engineering 16
Replace Cong Shen with:
Cong Shen China
Byoung-Tak Zhang South Korea
Xiao-Nan Fan China
Lixi Deng China
Qinke Peng China
Cristian Bodnar United Kingdom
Esraa Alhenawi Jordan
Qaiser Mehmood Ireland
Yanpeng Zhao China
Cong Shen China View profile →
Citations per field, relative to Letian Wang
Letian Wang · 1×
Citations per year, relative to Letian Wang
Letian Wang · 1×

Countries citing papers authored by Letian Wang

Since Specialization
Citations

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

Fields of papers citing papers by Letian Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Letian Wang

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

All Works

19 of 19 papers shown
# Work Indexed citations
1 2
2 0
3 0
4 1
5 1
6 0
7 1
8 2
9 10
10 0
11 17
12 2
13 19
14 1
15 12
16 9
17 243
18 18
19
SJTULTLAB: Chunk Based Method for Keyphrase Extraction
9

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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