Li-Lun Wang

11 total papers · 449 total citations
7 papers, 285 citations indexed

About

Li-Lun Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Li-Lun Wang has authored 7 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 1 paper in Computational Mechanics. Recurrent topics in Li-Lun Wang's work include Handwritten Text Recognition Techniques (4 papers), Face and Expression Recognition (2 papers) and Machine Learning and Data Classification (2 papers). Li-Lun Wang is often cited by papers focused on Handwritten Text Recognition Techniques (4 papers), Face and Expression Recognition (2 papers) and Machine Learning and Data Classification (2 papers). Li-Lun Wang collaborates with scholars based in United States, Taiwan and Switzerland. Li-Lun Wang's co-authors include Kai-Min Chung, Wei‐Chun Kao, Chih‐Jen Lin, Chia‐Liang Sun, Daniel Keysers, Thomas Deselaers, Henry A. Rowley, Gerald DeJong, Hsin Her Yu and Wing‐Ming Chou and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and Neural Computation.

In The Last Decade

Li-Lun Wang

7 papers receiving 266 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Li-Lun Wang 152 143 45 34 28 7 285
Felipe Petroski Such 122 0.8× 124 0.9× 43 1.0× 8 0.2× 21 0.8× 7 278
Douglas L. Reilly 102 0.7× 225 1.6× 15 0.3× 44 1.3× 16 0.6× 5 294
Mengmeng Ma 114 0.8× 193 1.3× 14 0.3× 29 0.9× 5 0.2× 7 315
Songcan Chen 215 1.4× 138 1.0× 54 1.2× 16 0.5× 5 0.2× 15 305
Shanchuan Lin 216 1.4× 75 0.5× 17 0.4× 17 0.5× 7 0.3× 5 308
Romesh Ranawana 63 0.4× 137 1.0× 16 0.4× 13 0.4× 11 0.4× 9 260
Jaeyoon Yoo 126 0.8× 95 0.7× 22 0.5× 19 0.6× 4 0.1× 9 290
Karl Jenkins 61 0.4× 167 1.2× 17 0.4× 21 0.6× 5 0.2× 13 318
Parashjyoti Borah 154 1.0× 196 1.4× 21 0.5× 61 1.8× 3 0.1× 15 307
S. Inkinen 68 0.4× 53 0.4× 15 0.3× 17 0.5× 16 0.6× 8 200

Countries citing papers authored by Li-Lun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Li-Lun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li-Lun Wang

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

All Works

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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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