Daw-Tung Lin

73 total papers · 993 total citations
45 papers, 650 citations indexed

About

Daw-Tung Lin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Daw-Tung Lin has authored 45 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 5 papers in Human-Computer Interaction. Recurrent topics in Daw-Tung Lin's work include Video Surveillance and Tracking Methods (14 papers), Neural Networks and Applications (8 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Daw-Tung Lin is often cited by papers focused on Video Surveillance and Tracking Methods (14 papers), Neural Networks and Applications (8 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Daw-Tung Lin collaborates with scholars based in Taiwan and United States. Daw-Tung Lin's co-authors include Judith E. Dayhoff, Panos A. Ligomenides, Wentai Chen, Chu‐Song Chen, Yi‐Ping Hung, Kevin Lin, Chung‐Ming Lo, Han Huang, Mu‐Chun Su and Chia-Ching Huang and has published in prestigious journals such as Expert Systems with Applications, Neural Networks and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Daw-Tung Lin

43 papers receiving 567 citations

Author Peers

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

Author						Papers	Cites
Daw-Tung Lin	333	188	90	85	76	45	650
J. Samuel Manoharan	204 0.6×	213 1.1×	125 1.4×	73 0.9×	36 0.5×	35	602
Chien-Cheng Lee	229 0.7×	244 1.3×	116 1.3×	19 0.2×	45 0.6×	63	641
Chaoyi Pang	299 0.9×	265 1.4×	26 0.3×	62 0.7×	128 1.7×	61	641
Wei Lü	286 0.9×	183 1.0×	60 0.7×	22 0.3×	38 0.5×	52	704
Piotr Porwik	330 1.0×	187 1.0×	42 0.5×	128 1.5×	224 2.9×	78	781
Muhammad Sheikh Sadi	171 0.5×	111 0.6×	163 1.8×	60 0.7×	33 0.4×	55	662
Fanyang Meng	320 1.0×	286 1.5×	70 0.8×	10 0.1×	74 1.0×	56	640
Fardin Abdali-Mohammadi	186 0.6×	132 0.7×	66 0.7×	38 0.4×	83 1.1×	44	568
Satya Prakash Sahu	270 0.8×	166 0.9×	77 0.9×	32 0.4×	53 0.7×	47	662
Kamred Udham Singh	234 0.7×	162 0.9×	108 1.2×	43 0.5×	25 0.3×	112	686

Countries citing papers authored by Daw-Tung Lin

Since Specialization

Citations

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

Fields of papers citing papers by Daw-Tung Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daw-Tung Lin. 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 Daw-Tung Lin. The network helps show where Daw-Tung Lin may publish in the future.

Co-authorship network of co-authors of Daw-Tung Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Daw-Tung Lin. A scholar is included among the top collaborators of Daw-Tung Lin 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 Daw-Tung Lin. Daw-Tung Lin 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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