Li-Lun Wang

449 total citations
7 papers, 284 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 284 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), Natural Language Processing Techniques (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), Natural Language Processing Techniques (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 Chih‐Jen Lin, Chia‐Liang Sun, Wei‐Chun Kao, Kai-Min Chung, Henry A. Rowley, Daniel Keysers, Thomas Deselaers, 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 265 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Li-Lun Wang United States	5	151	142	45	34	28	7	284
S. Knerr France	9	343 2.3×	239 1.7×	81 1.8×	13 0.4×	63 2.3×	12	446
Tonghua Su China	10	318 2.1×	153 1.1×	103 2.3×	9 0.3×	27 1.0×	36	426
Renu Dhir India	9	165 1.1×	74 0.5×	93 2.1×	6 0.2×	19 0.7×	47	286
Jean-Marc Ogier France	13	421 2.8×	109 0.8×	124 2.8×	8 0.2×	18 0.6×	52	503
Romesh Ranawana United Kingdom	6	63 0.4×	137 1.0×	16 0.4×	13 0.4×	11 0.4×	9	262
Khalid Benabdeslem France	8	114 0.8×	189 1.3×	18 0.4×	23 0.7×	4 0.1×	28	295
Oriol Ramos Terrades Spain	12	333 2.2×	127 0.9×	50 1.1×	7 0.2×	6 0.2×	40	435
Ru Wang China	11	80 0.5×	127 0.9×	9 0.2×	7 0.2×	31 1.1×	37	295
S. T. Patil India	8	60 0.4×	104 0.7×	12 0.3×	10 0.3×	6 0.2×	24	272

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

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Keysers, Daniel, et al.. (2016). Multi-Language Online Handwriting Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 39(6). 1180–1194. 107 indexed citations

2.

Chou, Wing‐Ming, Li-Lun Wang, & Hsin Her Yu. (2015). Electrophoretic Ink Display Prepared by Jelly Fig Pectin/Gelatin Microspheres. Smart Science. 3(2). 74–79. 5 indexed citations

3.

Wang, Li-Lun, et al.. (2009). Integrating prior domain knowledge into discriminative learning using automatic model construction and phantom examples. Pattern Recognition. 42(12). 3231–3240. 1 indexed citations

4.

Wang, Li-Lun, et al.. (2007). Explanation-based feature construction. Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign). 931–936. 8 indexed citations

5.

Wang, Li-Lun, et al.. (2007). Robustness through prior knowledge: using explanation-based learning to distinguish handwritten Chinese characters. International Journal on Document Analysis and Recognition (IJDAR). 10(3-4). 175–186. 6 indexed citations

6.

Chung, Kai-Min, et al.. (2004). Radius margin bounds for support vector machines with the RBF kernel. 2. 893–897. 2 indexed citations

7.

Chung, Kai-Min, Wei‐Chun Kao, Chia‐Liang Sun, Li-Lun Wang, & Chih‐Jen Lin. (2003). Radius Margin Bounds for Support Vector Machines with the RBF Kernel. Neural Computation. 15(11). 2643–2681. 155 indexed citations

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.

Explore authors with similar magnitude of impact